Rockin’ The Code World with dotNetDave ft. Rolando Masís-Obando - Ep. 102

Name: Rockin’ The Code World with dotNetDave ft. Rolando Masís-Obando - Ep. 102 | Open Video
Uploaded: 2025-08-06T12:06:37+00:00
Duration: 1 h 6 min 58 s

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[Applause] hey gigs welcome to another exciting
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hey gigs welcome to another exciting
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hey gigs welcome to another exciting episode of rock in the code world with
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episode of rock in the code world with
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episode of rock in the code world with Don Dave I'm dve mcarter I'm glad you're
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Don Dave I'm dve mcarter I'm glad you're
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Don Dave I'm dve mcarter I'm glad you're all back we've been off for I think
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all back we've been off for I think
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all back we've been off for I think three weekends now so uh this is the
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three weekends now so uh this is the
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three weekends now so uh this is the last one for May and then I think we
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last one for May and then I think we
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last one for May and then I think we have one next week too so looking
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have one next week too so looking
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have one next week too so looking forward to that um uh those of you uh in
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forward to that um uh those of you uh in
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forward to that um uh those of you uh in America at least uh this is Memorial Day
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America at least uh this is Memorial Day
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America at least uh this is Memorial Day weekend um and uh I just want to say uh
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weekend um and uh I just want to say uh
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weekend um and uh I just want to say uh hope you have a great time but be safe
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hope you have a great time but be safe
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hope you have a great time but be safe uh and don't drink and drive the cops
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uh and don't drink and drive the cops
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uh and don't drink and drive the cops are out looking for you so uh be careful
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are out looking for you so uh be careful
2:38
are out looking for you so uh be careful um anyway this is show
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1012 I can't believe it and uh my my
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1012 I can't believe it and uh my my
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1012 I can't believe it and uh my my special special guest is Dr orando Massi
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special special guest is Dr orando Massi
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special special guest is Dr orando Massi zando I hope I pronounced his name
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zando I hope I pronounced his name
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zando I hope I pronounced his name correct correctly uh is my first doctor
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correct correctly uh is my first doctor
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correct correctly uh is my first doctor on the show I'm super excited um to have
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on the show I'm super excited um to have
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on the show I'm super excited um to have somebody uh super Wicked smart and uh
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somebody uh super Wicked smart and uh
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somebody uh super Wicked smart and uh well everybody on my show is smart but
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well everybody on my show is smart but
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well everybody on my show is smart but uh a first actual doctor uh oh I'm sorry
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uh a first actual doctor uh oh I'm sorry
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uh a first actual doctor uh oh I'm sorry I've had a doctor on before first
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I've had a doctor on before first
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I've had a doctor on before first scientist I think so um and we're going
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scientist I think so um and we're going
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scientist I think so um and we're going to be talking about Ai and Tech and so
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to be talking about Ai and Tech and so
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to be talking about Ai and Tech and so uh there's been a lot of announcements
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uh there's been a lot of announcements
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uh there's been a lot of announcements I'll talk about that in a second and so
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I'll talk about that in a second and so
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I'll talk about that in a second and so if you have questions about Ai and
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if you have questions about Ai and
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if you have questions about Ai and Technology please uh put them in the
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Technology please uh put them in the
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Technology please uh put them in the comments now so we can get those
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comments now so we can get those
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comments now so we can get those answered uh because we have an expert so
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answered uh because we have an expert so
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answered uh because we have an expert so I've been looking forward to the show um
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I've been looking forward to the show um
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I've been looking forward to the show um and I I met uh orando uh when I was
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and I I met uh orando uh when I was
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and I I met uh orando uh when I was speaking at build stuff and uh we got to
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speaking at build stuff and uh we got to
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speaking at build stuff and uh we got to know each other and I invited them on
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know each other and I invited them on
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know each other and I invited them on the show uh that's how it works when I'm
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the show uh that's how it works when I'm
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the show uh that's how it works when I'm looking for uh new new Fresh Faces uh to
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looking for uh new new Fresh Faces uh to
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looking for uh new new Fresh Faces uh to be on the show
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be on the show
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be on the show okay um and speaking of AI uh you know
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okay um and speaking of AI uh you know
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okay um and speaking of AI uh you know if you guys watched a build uh this week
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if you guys watched a build uh this week
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if you guys watched a build uh this week uh it was co-pilot
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uh it was co-pilot
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uh it was co-pilot everywhere I you know after a few hours
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everywhere I you know after a few hours
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everywhere I you know after a few hours uh I'll show you in a second but uh it
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uh I'll show you in a second but uh it
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uh I'll show you in a second but uh it looks like Microsoft is putting co-pilot
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looks like Microsoft is putting co-pilot
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looks like Microsoft is putting co-pilot in freaking everything and uh I even
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in freaking everything and uh I even
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in freaking everything and uh I even tested out the new feature in Visual
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tested out the new feature in Visual
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tested out the new feature in Visual Studio where they put co-pilot as a chat
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Studio where they put co-pilot as a chat
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Studio where they put co-pilot as a chat in visual studio now and uh you know one
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in visual studio now and uh you know one
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in visual studio now and uh you know one of the things that we typically don't
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of the things that we typically don't
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of the things that we typically don't like doing very much uh is writing unit
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like doing very much uh is writing unit
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like doing very much uh is writing unit tests and uh and uh you know I have to
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tests and uh and uh you know I have to
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tests and uh and uh you know I have to say that a co-pilot is pretty good at
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say that a co-pilot is pretty good at
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say that a co-pilot is pretty good at writing unit tests um I was was
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writing unit tests um I was was
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writing unit tests um I was was pleasantly surprised I I wrote some unit
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pleasantly surprised I I wrote some unit
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pleasantly surprised I I wrote some unit tests it just took a few seconds I just
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tests it just took a few seconds I just
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tests it just took a few seconds I just told it what method I didn't even have
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told it what method I didn't even have
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told it what method I didn't even have to give it the code I just told it the
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to give it the code I just told it the
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to give it the code I just told it the method name and then spit out the unit
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method name and then spit out the unit
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method name and then spit out the unit test for me put in my unit test project
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test for me put in my unit test project
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test for me put in my unit test project all
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all
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all done and uh so you should check the code
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done and uh so you should check the code
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done and uh so you should check the code of course but uh it so finally we're
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of course but uh it so finally we're
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of course but uh it so finally we're going to get an easier way to create
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going to get an easier way to create
4:51
going to get an easier way to create unit test and visual studio since uh the
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unit test and visual studio since uh the
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unit test and visual studio since uh the intell test uh still is an invisible
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intell test uh still is an invisible
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intell test uh still is an invisible studio for donet so um anyway you know
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studio for donet so um anyway you know
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studio for donet so um anyway you know after watching you know I watched the
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after watching you know I watched the
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after watching you know I watched the the opening Keynotes uh the first two
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the opening Keynotes uh the first two
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the opening Keynotes uh the first two days and after you like two or three
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days and after you like two or three
5:07
days and after you like two or three hours you know I I was thinking about
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hours you know I I was thinking about
5:09
hours you know I I was thinking about you know everything they were talking
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you know everything they were talking
5:11
you know everything they were talking about co-pilot and I sent this treat
5:14
about co-pilot and I sent this treat
5:14
about co-pilot and I sent this treat treat tweet out that said forget about
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treat tweet out that said forget about
5:16
treat tweet out that said forget about Skynet those of you who've watched
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Skynet those of you who've watched
5:18
Skynet those of you who've watched Terminator co-pilot is going to take
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Terminator co-pilot is going to take
5:21
Terminator co-pilot is going to take over the world at least that's the way
5:23
over the world at least that's the way
5:23
over the world at least that's the way it sounded uh to me uh for Microsoft so
5:27
it sounded uh to me uh for Microsoft so
5:27
it sounded uh to me uh for Microsoft so uh M co-pilot's coming to a product near
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uh M co-pilot's coming to a product near
5:29
uh M co-pilot's coming to a product near you near you including the OS I was
5:33
you near you including the OS I was
5:33
you near you including the OS I was really I really want to go back and
5:34
really I really want to go back and
5:34
really I really want to go back and watch the session about uh the new brand
5:37
watch the session about uh the new brand
5:37
watch the session about uh the new brand new OS and machines they're creating to
5:40
new OS and machines they're creating to
5:40
new OS and machines they're creating to run uh AI for your OS I I think that's
5:44
run uh AI for your OS I I think that's
5:44
run uh AI for your OS I I think that's pretty cool and uh we'll see how it
5:46
pretty cool and uh we'll see how it
5:46
pretty cool and uh we'll see how it works the first I don't know if I'd buy
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works the first I don't know if I'd buy
5:48
works the first I don't know if I'd buy the I'd get the first one but uh maybe
5:50
the I'd get the first one but uh maybe
5:50
the I'd get the first one but uh maybe the second one
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the second one
5:53
the second one okay also I have my new book out rock
5:56
okay also I have my new book out rock
5:56
okay also I have my new book out rock your code uh code and app performance
5:59
your code uh code and app performance
5:59
your code uh code and app performance for my microsoft.net
6:01
for my microsoft.net
6:01
for my microsoft.net um tons of new pages it's my second
6:05
um tons of new pages it's my second
6:05
um tons of new pages it's my second biggest book I've ever written on my own
6:07
biggest book I've ever written on my own
6:07
biggest book I've ever written on my own and I worked super super hard on it for
6:10
and I worked super super hard on it for
6:10
and I worked super super hard on it for you know probably six months and now you
6:13
you know probably six months and now you
6:13
you know probably six months and now you can go get it so I hope you go to Amazon
6:16
can go get it so I hope you go to Amazon
6:16
can go get it so I hope you go to Amazon go get it you can uh uh just type my
6:18
go get it you can uh uh just type my
6:19
go get it you can uh uh just type my name and you'll find it um or you go to
6:21
name and you'll find it um or you go to
6:21
name and you'll find it um or you go to my website and you can get a link right
6:23
my website and you can get a link right
6:23
my website and you can get a link right there
6:25
there
6:25
there um uh you know I I worked really really
6:27
um uh you know I I worked really really
6:27
um uh you know I I worked really really hard at uh coming up with with all the
6:29
hard at uh coming up with with all the
6:29
hard at uh coming up with with all the latest performanc metrics for.net and
6:32
latest performanc metrics for.net and
6:32
latest performanc metrics for.net and I've been putting a lot of it on my
6:34
I've been putting a lot of it on my
6:34
I've been putting a lot of it on my website too so uh if you want to uh
6:37
website too so uh if you want to uh
6:37
website too so uh if you want to uh register from my website so you get
6:38
register from my website so you get
6:38
register from my website so you get notified of uh new articles please do
6:41
notified of uh new articles please do
6:41
notified of uh new articles please do that uh because I'm constantly I'm the
6:44
that uh because I'm constantly I'm the
6:44
that uh because I'm constantly I'm the last three months I've been having an
6:47
last three months I've been having an
6:47
last three months I've been having an article come out like almost every day
6:49
article come out like almost every day
6:49
article come out like almost every day so uh workday at least so uh I hope you
6:52
so uh workday at least so uh I hope you
6:52
so uh workday at least so uh I hope you go check it
6:54
go check it
6:54
go check it out um also something else I've been uh
6:57
out um also something else I've been uh
6:57
out um also something else I've been uh starting to do is offer my services to
7:00
starting to do is offer my services to
7:00
starting to do is offer my services to do custom graphics video and photography
7:03
do custom graphics video and photography
7:03
do custom graphics video and photography so um you know all the the images you
7:07
so um you know all the the images you
7:07
so um you know all the the images you see you know on this show at my
7:09
see you know on this show at my
7:10
see you know on this show at my conference
7:11
conference
7:11
conference sessions um you know on my website you
7:14
sessions um you know on my website you
7:14
sessions um you know on my website you know all those things are created by me
7:17
know all those things are created by me
7:17
know all those things are created by me I've created all those things myself
7:19
I've created all those things myself
7:19
I've created all those things myself I've been doing video since I was in in
7:22
I've been doing video since I was in in
7:22
I've been doing video since I was in in Middle School in uh when I was young and
7:26
Middle School in uh when I was young and
7:26
Middle School in uh when I was young and uh I've been doing graphic arts
7:27
uh I've been doing graphic arts
7:27
uh I've been doing graphic arts including 3D and and things like that
7:30
including 3D and and things like that
7:30
including 3D and and things like that for a really long time and it's
7:32
for a really long time and it's
7:32
for a really long time and it's something I I really do enjoy doing but
7:34
something I I really do enjoy doing but
7:34
something I I really do enjoy doing but now um I'm going to offer my services to
7:38
now um I'm going to offer my services to
7:38
now um I'm going to offer my services to you so if you go to my personal website
7:40
you so if you go to my personal website
7:40
you so if you go to my personal website David mc.net you'll see a brand new page
7:43
David mc.net you'll see a brand new page
7:43
David mc.net you'll see a brand new page there uh promoting this and you can
7:45
there uh promoting this and you can
7:45
there uh promoting this and you can contact me with um any needs you have
7:47
contact me with um any needs you have
7:47
contact me with um any needs you have and uh if you've been watching you know
7:50
and uh if you've been watching you know
7:50
and uh if you've been watching you know my shows the last year so uh you also
7:53
my shows the last year so uh you also
7:53
my shows the last year so uh you also see I've been creating a lot of uh
7:56
see I've been creating a lot of uh
7:56
see I've been creating a lot of uh graphics with AI including the one you
7:58
graphics with AI including the one you
7:58
graphics with AI including the one you you see on the screen now the background
8:00
you see on the screen now the background
8:00
you see on the screen now the background I created with AI so I'm really getting
8:02
I created with AI so I'm really getting
8:02
I created with AI so I'm really getting into uh trying to figure out how to get
8:05
into uh trying to figure out how to get
8:05
into uh trying to figure out how to get AI to do what I wanted to which is isn't
8:07
AI to do what I wanted to which is isn't
8:07
AI to do what I wanted to which is isn't the easiest thing to do when you're
8:08
the easiest thing to do when you're
8:08
the easiest thing to do when you're kinding to trying to create images uh
8:11
kinding to trying to create images uh
8:11
kinding to trying to create images uh but I've been going through all those
8:12
but I've been going through all those
8:12
but I've been going through all those images and I've been posting them on my
8:14
images and I've been posting them on my
8:14
images and I've been posting them on my photography site uh so you can buy them
8:17
photography site uh so you can buy them
8:17
photography site uh so you can buy them there or you can hire me to do something
8:19
there or you can hire me to do something
8:19
there or you can hire me to do something custom for for you so I hope you go
8:22
custom for for you so I hope you go
8:22
custom for for you so I hope you go check it out and uh uh I have lots of
8:25
check it out and uh uh I have lots of
8:25
check it out and uh uh I have lots of time right now to help you out um
8:29
time right now to help you out um
8:29
time right now to help you out um also I have another new article uh on my
8:33
also I have another new article uh on my
8:33
also I have another new article uh on my website called the visual Bas from
8:35
website called the visual Bas from
8:35
website called the visual Bas from Visual Basic to visual studio a journey
8:37
Visual Basic to visual studio a journey
8:37
Visual Basic to visual studio a journey through Microsoft's ID IDE Evolution and
8:42
through Microsoft's ID IDE Evolution and
8:42
through Microsoft's ID IDE Evolution and uh I you know a couple weeks ago I was
8:44
uh I you know a couple weeks ago I was
8:44
uh I you know a couple weeks ago I was asked by a friend and someone who's been
8:46
asked by a friend and someone who's been
8:46
asked by a friend and someone who's been on the show for uh my opinion about um
8:51
on the show for uh my opinion about um
8:51
on the show for uh my opinion about um IDE uh you know like visual studio and
8:55
IDE uh you know like visual studio and
8:55
IDE uh you know like visual studio and uh so that kind of spurred me thinking
8:58
uh so that kind of spurred me thinking
8:58
uh so that kind of spurred me thinking back to when I started was visil Basic 2
9:01
back to when I started was visil Basic 2
9:01
back to when I started was visil Basic 2 all the way to visil studio now and I
9:05
all the way to visil studio now and I
9:05
all the way to visil studio now and I decided to you know do a little uh look
9:07
decided to you know do a little uh look
9:07
decided to you know do a little uh look at um history and so I hope you go check
9:09
at um history and so I hope you go check
9:10
at um history and so I hope you go check out the uh uh the article uh to see wh
9:13
out the uh uh the article uh to see wh
9:13
out the uh uh the article uh to see wh we've been and uh this to maybe predict
9:17
we've been and uh this to maybe predict
9:17
we've been and uh this to maybe predict where we're going who who knows what's
9:19
where we're going who who knows what's
9:19
where we're going who who knows what's uh coming out in the next Visual Studio
9:21
uh coming out in the next Visual Studio
9:21
uh coming out in the next Visual Studio I don't even know when that's going to
9:23
I don't even know when that's going to
9:23
I don't even know when that's going to happen or when they're going to change
9:24
happen or when they're going to change
9:24
happen or when they're going to change the name but uh I'm sure there's going
9:27
the name but uh I'm sure there's going
9:27
the name but uh I'm sure there's going to be a lot of uh great things coming
9:29
to be a lot of uh great things coming
9:29
to be a lot of uh great things coming out for Microsoft for development
9:31
out for Microsoft for development
9:31
out for Microsoft for development especially you know wrapped around AI of
9:34
especially you know wrapped around AI of
9:34
especially you know wrapped around AI of course okay with that I want to um
9:38
course okay with that I want to um
9:38
course okay with that I want to um invite Rando on he's a filmmaker author
9:41
invite Rando on he's a filmmaker author
9:41
invite Rando on he's a filmmaker author entrepreneur and com computational
9:44
entrepreneur and com computational
9:45
entrepreneur and com computational neuroscientists at John Hopkins
9:47
neuroscientists at John Hopkins
9:47
neuroscientists at John Hopkins University uh he uses v r a r EEG FM r i
9:52
University uh he uses v r a r EEG FM r i
9:52
University uh he uses v r a r EEG FM r i AI machine learning and brain computer
9:54
AI machine learning and brain computer
9:54
AI machine learning and brain computer interface type methods to study how
9:57
interface type methods to study how
9:57
interface type methods to study how context shape the way we think and
10:00
context shape the way we think and
10:00
context shape the way we think and remember our day-to-day experiences in
10:02
remember our day-to-day experiences in
10:02
remember our day-to-day experiences in his free time he likes to make short
10:04
his free time he likes to make short
10:04
his free time he likes to make short films exploring the ever evolving
10:07
films exploring the ever evolving
10:07
films exploring the ever evolving landscape of Technology
10:10
landscape of Technology
10:10
landscape of Technology welcome Hey so happy to be here and to
10:13
welcome Hey so happy to be here and to
10:13
welcome Hey so happy to be here and to be part of another uh of the people
10:15
be part of another uh of the people
10:15
be part of another uh of the people you've interviewed in a really amazing
10:17
you've interviewed in a really amazing
10:17
you've interviewed in a really amazing list of Stellar people so it's it's hon
10:20
list of Stellar people so it's it's hon
10:20
list of Stellar people so it's it's hon yeah well I'm I'm glad I'm glad to have
10:22
yeah well I'm I'm glad I'm glad to have
10:22
yeah well I'm I'm glad I'm glad to have a you know a filmmaker author
10:25
a you know a filmmaker author
10:25
a you know a filmmaker author entrepreneur on my show uh CU you know I
10:28
entrepreneur on my show uh CU you know I
10:29
entrepreneur on my show uh CU you know I I like like all those things myself you
10:30
I like like all those things myself you
10:30
I like like all those things myself you know I've been like I just said I've
10:32
know I've been like I just said I've
10:32
know I've been like I just said I've been doing videos since you know I was
10:35
been doing videos since you know I was
10:35
been doing videos since you know I was in Middle School and and you know back
10:37
in Middle School and and you know back
10:37
in Middle School and and you know back in the big real to real tape days you
10:39
in the big real to real tape days you
10:39
in the big real to real tape days you know before computers uh where it was a
10:42
know before computers uh where it was a
10:42
know before computers uh where it was a heck of a lot harder to do video and uh
10:45
heck of a lot harder to do video and uh
10:45
heck of a lot harder to do video and uh yeah and way more expensive too because
10:48
yeah and way more expensive too because
10:48
yeah and way more expensive too because most expens is expensive still yeah
10:51
most expens is expensive still yeah
10:51
most expens is expensive still yeah those tape machines are really expensive
10:53
those tape machines are really expensive
10:53
those tape machines are really expensive and uh yeah yeah yeah I I think we all
10:58
and uh yeah yeah yeah I I think we all
10:58
and uh yeah yeah yeah I I think we all take it for granted now it's so easy to
11:00
take it for granted now it's so easy to
11:00
take it for granted now it's so easy to do with computers and uh you know
11:02
do with computers and uh you know
11:02
do with computers and uh you know there's so much great software out there
11:04
there's so much great software out there
11:04
there's so much great software out there you know especially if you use you know
11:06
you know especially if you use you know
11:06
you know especially if you use you know I use the adobi cloud products and and
11:09
I use the adobi cloud products and and
11:09
I use the adobi cloud products and and there's so so many great uh uh products
11:12
there's so so many great uh uh products
11:12
there's so so many great uh uh products out there to help you do this pretty
11:13
out there to help you do this pretty
11:13
out there to help you do this pretty easily and and not super expensive you
11:16
easily and and not super expensive you
11:16
easily and and not super expensive you know no I know it's crazy how things
11:18
know no I know it's crazy how things
11:18
know no I know it's crazy how things have drastically changed and even from
11:20
have drastically changed and even from
11:20
have drastically changed and even from like going from dslrs to mirrorless
11:22
like going from dslrs to mirrorless
11:22
like going from dslrs to mirrorless cameras the light weights change I mean
11:24
cameras the light weights change I mean
11:24
cameras the light weights change I mean the weights it's so much easier you can
11:25
the weights it's so much easier you can
11:26
the weights it's so much easier you can put it in your pocket the quality is
11:27
put it in your pocket the quality is
11:27
put it in your pocket the quality is super high it's crazy yeah yeah um right
11:31
super high it's crazy yeah yeah um right
11:31
super high it's crazy yeah yeah um right when Co started I bought my first um
11:34
when Co started I bought my first um
11:34
when Co started I bought my first um mirorless uh DSLR you know oh nice and
11:38
mirorless uh DSLR you know oh nice and
11:38
mirorless uh DSLR you know oh nice and uh uh it's a it's a I I do Nikon I can't
11:41
uh uh it's a it's a I I do Nikon I can't
11:41
uh uh it's a it's a I I do Nikon I can't remember the the model number um but uh
11:45
remember the the model number um but uh
11:45
remember the the model number um but uh I really like it it you know you're
11:47
I really like it it you know you're
11:47
I really like it it you know you're right it's lighter and I need less
11:49
right it's lighter and I need less
11:49
right it's lighter and I need less weight because my lenses weigh so much
11:53
weight because my lenses weigh so much
11:53
weight because my lenses weigh so much you know oh my God
11:56
you know oh my God
11:56
you know oh my God yeah yeah when you when you are a
11:58
yeah yeah when you when you are a
11:58
yeah yeah when you when you are a photographer like myself and work for
12:00
photographer like myself and work for
12:00
photographer like myself and work for bands and things like that you know I
12:02
bands and things like that you know I
12:02
bands and things like that you know I have to buy the good stuff and and the
12:04
have to buy the good stuff and and the
12:04
have to buy the good stuff and and the good stuff is made out of glass and that
12:06
good stuff is made out of glass and that
12:06
good stuff is made out of glass and that stuff is heavy and even sometimes when
12:08
stuff is heavy and even sometimes when
12:08
stuff is heavy and even sometimes when I'm at a concert my hand starts getting
12:10
I'm at a concert my hand starts getting
12:10
I'm at a concert my hand starts getting tired because the dang thing is heavy
12:12
tired because the dang thing is heavy
12:12
tired because the dang thing is heavy you know I know yeah that's why they
12:14
you know I know yeah that's why they
12:14
you know I know yeah that's why they built these like uh like this for steady
12:16
built these like uh like this for steady
12:16
built these like uh like this for steady cams they built these like rigs that you
12:18
cams they built these like rigs that you
12:18
cams they built these like rigs that you wear on your back so that it's just so
12:20
wear on your back so that it's just so
12:20
wear on your back so that it's just so heavy to carry everything yeah yeah yeah
12:22
heavy to carry everything yeah yeah yeah
12:23
heavy to carry everything yeah yeah yeah yeah so yeah I used to be a drummer so I
12:25
yeah so yeah I used to be a drummer so I
12:25
yeah so yeah I used to be a drummer so I totally understand like the the issues
12:27
totally understand like the the issues
12:27
totally understand like the the issues of like taking gear to
12:30
of like taking gear to
12:30
of like taking gear to drummers have it the worst
12:32
drummers have it the worst
12:32
drummers have it the worst right it takes so long to set up drums
12:35
right it takes so long to set up drums
12:35
right it takes so long to set up drums you know it's you know for me I can I
12:37
you know it's you know for me I can I
12:37
you know it's you know for me I can I can be set up in two minutes you know
12:40
can be set up in two minutes you know
12:40
can be set up in two minutes you know but drummers you know just take a long
12:44
but drummers you know just take a long
12:44
but drummers you know just take a long time even though I don't jump as much
12:46
time even though I don't jump as much
12:46
time even though I don't jump as much anymore I still carry my my
12:50
anymore I still carry my my
12:50
anymore I still carry my my tuningy just in case because you never
12:52
tuningy just in case because you never
12:52
tuningy just in case because you never know when you might be needed to you
12:53
know when you might be needed to you
12:53
know when you might be needed to you might be needed to jum for someone yeah
12:55
might be needed to jum for someone yeah
12:55
might be needed to jum for someone yeah yeah I I watched a I watched a video
12:57
yeah I I watched a I watched a video
12:57
yeah I I watched a I watched a video Once on how they uh what it took to set
13:01
Once on how they uh what it took to set
13:01
Once on how they uh what it took to set up the drums for uh Neil per of Rush
13:05
up the drums for uh Neil per of Rush
13:05
up the drums for uh Neil per of Rush right because Neil per is got one of the
13:08
right because Neil per is got one of the
13:08
right because Neil per is got one of the biggest drum sets ever he tours with
13:11
biggest drum sets ever he tours with
13:11
biggest drum sets ever he tours with right and a beautiful piece of art yeah
13:14
right and a beautiful piece of art yeah
13:14
right and a beautiful piece of art yeah and uh I watched how they set that up
13:16
and uh I watched how they set that up
13:16
and uh I watched how they set that up and just all the work it takes to get
13:19
and just all the work it takes to get
13:19
and just all the work it takes to get that thing set up every show it's and
13:22
that thing set up every show it's and
13:22
that thing set up every show it's and you have to mic it and I know they've
13:24
you have to mic it and I know they've
13:24
you have to mic it and I know they've done a lot of things you know the last
13:25
done a lot of things you know the last
13:25
done a lot of things you know the last 20 years to make that easier but still
13:27
20 years to make that easier but still
13:27
20 years to make that easier but still it's it's a lot of work work yeah know
13:30
it's it's a lot of work work yeah know
13:30
it's it's a lot of work work yeah know my brother not I have I have three
13:33
my brother not I have I have three
13:33
my brother not I have I have three brothers but one of them is also a
13:34
brothers but one of them is also a
13:34
brothers but one of them is also a drummer and we were tired of carrying so
13:36
drummer and we were tired of carrying so
13:36
drummer and we were tired of carrying so many drums so what we did that we took
13:37
many drums so what we did that we took
13:37
many drums so what we did that we took the floor tom and then there's like the
13:39
the floor tom and then there's like the
13:39
the floor tom and then there's like the special special equipment that you can
13:40
special special equipment that you can
13:40
special special equipment that you can use to convert it into a kick drum so
13:42
use to convert it into a kick drum so
13:42
use to convert it into a kick drum so you just kind of flip it on its side you
13:44
you just kind of flip it on its side you
13:44
you just kind of flip it on its side you you change the tuning a little bit so we
13:46
you change the tuning a little bit so we
13:46
you change the tuning a little bit so we just had to take the for time a snare
13:49
just had to take the for time a snare
13:49
just had to take the for time a snare high hat um sometimes like a a crash but
13:53
high hat um sometimes like a a crash but
13:53
high hat um sometimes like a a crash but mostly just a just like a ride symbol
13:56
mostly just a just like a ride symbol
13:56
mostly just a just like a ride symbol because we were mostly jazz drummers and
13:57
because we were mostly jazz drummers and
13:57
because we were mostly jazz drummers and that's all you need that's need yeah
14:00
that's all you need that's need yeah
14:00
that's all you need that's need yeah yeah yeah so uh um anyway how how are
14:05
yeah yeah so uh um anyway how how are
14:05
yeah yeah so uh um anyway how how are you doing since I saw you build
14:07
you doing since I saw you build
14:07
you doing since I saw you build stuff well so I'm settling in into my
14:09
stuff well so I'm settling in into my
14:09
stuff well so I'm settling in into my new postl position so for those that
14:12
new postl position so for those that
14:12
new postl position so for those that don't know how like the academic
14:13
don't know how like the academic
14:13
don't know how like the academic trajectory works you uh you know you you
14:16
trajectory works you uh you know you you
14:16
trajectory works you uh you know you you start your PhD or you do a master's and
14:18
start your PhD or you do a master's and
14:18
start your PhD or you do a master's and then you do the PHD or both at the same
14:20
then you do the PHD or both at the same
14:20
then you do the PHD or both at the same time and then after that uh depending on
14:23
time and then after that uh depending on
14:23
time and then after that uh depending on the field that you're in you either can
14:24
the field that you're in you either can
14:25
the field that you're in you either can go and start as as a faculty member at
14:27
go and start as as a faculty member at
14:27
go and start as as a faculty member at some University or or you do which is
14:30
some University or or you do which is
14:30
some University or or you do which is the case now because like there's not
14:32
the case now because like there's not
14:32
the case now because like there's not that many faculty jobs available
14:33
that many faculty jobs available
14:33
that many faculty jobs available depending on the field um you end up as
14:35
depending on the field um you end up as
14:35
depending on the field um you end up as a post do which is like post doctor and
14:37
a post do which is like post doctor and
14:37
a post do which is like post doctor and then you're you're in that like sort of
14:39
then you're you're in that like sort of
14:39
then you're you're in that like sort of inter
14:40
inter
14:40
inter intermediary uh space for like you know
14:42
intermediary uh space for like you know
14:42
intermediary uh space for like you know three two to five years depending um un
14:45
three two to five years depending um un
14:46
three two to five years depending um un like depending on like the sort of risk
14:48
like depending on like the sort of risk
14:48
like depending on like the sort of risk of the projects that you're doing
14:49
of the projects that you're doing
14:49
of the projects that you're doing because if it's a risky project then
14:50
because if it's a risky project then
14:50
because if it's a risky project then it's going to take a longer time because
14:51
it's going to take a longer time because
14:51
it's going to take a longer time because there's more you know potential for
14:53
there's more you know potential for
14:53
there's more you know potential for failure and then after that you go uh
14:55
failure and then after that you go uh
14:55
failure and then after that you go uh and become a professor so I'm now in
14:57
and become a professor so I'm now in
14:58
and become a professor so I'm now in that in the in that
14:59
that in the in that
14:59
that in the in that little Zone
15:02
little Zone
15:02
little Zone yeah so is your is your goal to be a
15:04
yeah so is your is your goal to be a
15:05
yeah so is your is your goal to be a professor is that what you want to
15:08
do it's a million doll question I I
15:11
do it's a million doll question I I
15:11
do it's a million doll question I I actually don't know what I want to be
15:14
actually don't know what I want to be
15:14
actually don't know what I want to be yet um as you can tell from all the
15:17
yet um as you can tell from all the
15:17
yet um as you can tell from all the stuff that like I'm interested in it's
15:19
stuff that like I'm interested in it's
15:19
stuff that like I'm interested in it's it's kind of hard to like settle on one
15:20
it's kind of hard to like settle on one
15:20
it's kind of hard to like settle on one thing um if if I had you know you know
15:24
thing um if if I had you know you know
15:24
thing um if if I had you know you know if I was an octopus and had a bunch of
15:26
if I was an octopus and had a bunch of
15:26
if I was an octopus and had a bunch of arms I'd try to do it all yeah but you
15:28
arms I'd try to do it all yeah but you
15:28
arms I'd try to do it all yeah but you know as my mom likes to say yeah Jack of
15:31
know as my mom likes to say yeah Jack of
15:31
know as my mom likes to say yeah Jack of all trades master of none but my
15:33
all trades master of none but my
15:33
all trades master of none but my response um not master of all trades but
15:37
response um not master of all trades but
15:37
response um not master of all trades but pretty good at some of them yeah I'm
15:40
pretty good at some of them yeah I'm
15:40
pretty good at some of them yeah I'm mediocre mom and everything
15:42
mediocre mom and everything
15:43
mediocre mom and everything yeah I'm okay with that it's like yeah
15:45
yeah I'm okay with that it's like yeah
15:45
yeah I'm okay with that it's like yeah it's like the languages that I speak I
15:47
it's like the languages that I speak I
15:47
it's like the languages that I speak I can speak a few my grammar sucks but
15:49
can speak a few my grammar sucks but
15:49
can speak a few my grammar sucks but when I speak to someone that's like
15:50
when I speak to someone that's like
15:50
when I speak to someone that's like fluent they understand what I'm saying
15:53
fluent they understand what I'm saying
15:53
fluent they understand what I'm saying and for me that's like if I can pass
15:54
and for me that's like if I can pass
15:54
and for me that's like if I can pass that bar then like okay I can survive in
15:56
that bar then like okay I can survive in
15:56
that bar then like okay I can survive in the country I'll be
15:59
the country I'll be
15:59
the country I'll be okay I I have to admit you know I taught
16:02
okay I I have to admit you know I taught
16:02
okay I I have to admit you know I taught at uh the University of California San
16:04
at uh the University of California San
16:04
at uh the University of California San Diego for 18 years and uh I helped us
16:07
Diego for 18 years and uh I helped us
16:07
Diego for 18 years and uh I helped us start a group there where we started
16:08
start a group there where we started
16:08
start a group there where we started teaching Visual Basic and then then we
16:11
teaching Visual Basic and then then we
16:11
teaching Visual Basic and then then we switched to donet as soon as donet was
16:12
switched to donet as soon as donet was
16:12
switched to donet as soon as donet was announced but um I I you know I have to
16:15
announced but um I I you know I have to
16:15
announced but um I I you know I have to say I I really enjoy you know uh uh
16:19
say I I really enjoy you know uh uh
16:19
say I I really enjoy you know uh uh teaching you know if I had my way I'd
16:22
teaching you know if I had my way I'd
16:22
teaching you know if I had my way I'd probably be doing that most of the time
16:24
probably be doing that most of the time
16:24
probably be doing that most of the time but uh you know the money just isn't in
16:26
but uh you know the money just isn't in
16:26
but uh you know the money just isn't in it you know at least for extension
16:29
it you know at least for extension
16:29
it you know at least for extension classes and uh and and so but I you know
16:33
classes and uh and and so but I you know
16:33
classes and uh and and so but I you know I do miss it in a way you know because I
16:36
I do miss it in a way you know because I
16:36
I do miss it in a way you know because I really do like helping people I really
16:37
really do like helping people I really
16:37
really do like helping people I really love uh teaching the Next Generation
16:40
love uh teaching the Next Generation
16:40
love uh teaching the Next Generation yeah the next generation of you know
16:42
yeah the next generation of you know
16:42
yeah the next generation of you know software engineers and and uh and it and
16:45
software engineers and and uh and it and
16:45
software engineers and and uh and it and it also you know one thing you know it
16:47
it also you know one thing you know it
16:47
it also you know one thing you know it helps you keep on your game more right
16:50
helps you keep on your game more right
16:50
helps you keep on your game more right and I I kind of feel that now that I'm
16:52
and I I kind of feel that now that I'm
16:52
and I I kind of feel that now that I'm not teaching I I don't have to be at the
16:55
not teaching I I don't have to be at the
16:55
not teaching I I don't have to be at the top of my game on the brand new subjects
16:58
top of my game on the brand new subjects
16:58
top of my game on the brand new subjects anymore more right and um yeah so I I
17:02
anymore more right and um yeah so I I
17:02
anymore more right and um yeah so I I have to find other avenues to you know
17:04
have to find other avenues to you know
17:04
have to find other avenues to you know teach myself that right cuz I I used to
17:07
teach myself that right cuz I I used to
17:07
teach myself that right cuz I I used to pick I used to teach classes that I
17:09
pick I used to teach classes that I
17:09
pick I used to teach classes that I didn't really know the subject right and
17:12
didn't really know the subject right and
17:12
didn't really know the subject right and I did that on purpose right to
17:15
I did that on purpose right to
17:15
I did that on purpose right to force right right yeah the nice thing
17:19
force right right yeah the nice thing
17:19
force right right yeah the nice thing about teaching too is that you get kind
17:20
about teaching too is that you get kind
17:20
about teaching too is that you get kind of like you're forced to do this bird's
17:22
of like you're forced to do this bird's
17:22
of like you're forced to do this bird's eye view of the material and then that
17:24
eye view of the material and then that
17:24
eye view of the material and then that like helps you resynthesize information
17:26
like helps you resynthesize information
17:26
like helps you resynthesize information that you already knew but now you get to
17:28
that you already knew but now you get to
17:28
that you already knew but now you get to see it in a different
17:29
see it in a different
17:29
see it in a different because you're forcing yourself to how
17:32
because you're forcing yourself to how
17:32
because you're forcing yourself to how can I express this in a way that's going
17:34
can I express this in a way that's going
17:34
can I express this in a way that's going to be understandable it's actually
17:36
to be understandable it's actually
17:36
to be understandable it's actually really interesting because um there are
17:37
really interesting because um there are
17:37
really interesting because um there are these studies um uh brain studies
17:40
these studies um uh brain studies
17:40
these studies um uh brain studies psychological studies where they've been
17:42
psychological studies where they've been
17:42
psychological studies where they've been able to show and I have colleagues that
17:44
able to show and I have colleagues that
17:44
able to show and I have colleagues that worked on this that um you have they
17:47
worked on this that um you have they
17:47
worked on this that um you have they scaned people while they were learning a
17:50
scaned people while they were learning a
17:50
scaned people while they were learning a lecture I think it was coding or
17:51
lecture I think it was coding or
17:51
lecture I think it was coding or something like that and uh you can scan
17:54
something like that and uh you can scan
17:54
something like that and uh you can scan their brain as they're learning and you
17:55
their brain as they're learning and you
17:55
their brain as they're learning and you can scan the brain of the teacher and
17:57
can scan the brain of the teacher and
17:57
can scan the brain of the teacher and what usually and what sometimes happens
17:58
what usually and what sometimes happens
17:58
what usually and what sometimes happens happens is that uh the brain when you
18:02
happens is that uh the brain when you
18:02
happens is that uh the brain when you try to synchronize the brains uh a
18:04
try to synchronize the brains uh a
18:04
try to synchronize the brains uh a student that's still learning the
18:05
student that's still learning the
18:05
student that's still learning the material their brain's not going to look
18:07
material their brain's not going to look
18:07
material their brain's not going to look like the teachers but over the course of
18:09
like the teachers but over the course of
18:09
like the teachers but over the course of learning you start gaining higher
18:11
learning you start gaining higher
18:11
learning you start gaining higher similarity and the synchronicity between
18:13
similarity and the synchronicity between
18:13
similarity and the synchronicity between the teacher and the student yeah and
18:15
the teacher and the student yeah and
18:15
the teacher and the student yeah and like that's what you want if you
18:16
like that's what you want if you
18:16
like that's what you want if you understand what someone else is saying
18:17
understand what someone else is saying
18:17
understand what someone else is saying your brains are going to be synchronized
18:19
your brains are going to be synchronized
18:19
your brains are going to be synchronized right and it's like such a beautiful
18:20
right and it's like such a beautiful
18:20
right and it's like such a beautiful thing like the the like the things just
18:23
thing like the the like the things just
18:23
thing like the the like the things just start looking more similar the more in
18:24
start looking more similar the more in
18:24
start looking more similar the more in tune and the more you Vibe whether it's
18:27
tune and the more you Vibe whether it's
18:27
tune and the more you Vibe whether it's like you know emotionally or through
18:29
like you know emotionally or through
18:29
like you know emotionally or through knowledge like te right yeah yeah so uh
18:33
knowledge like te right yeah yeah so uh
18:33
knowledge like te right yeah yeah so uh um I don't know where I'm going with
18:35
um I don't know where I'm going with
18:35
um I don't know where I'm going with that after that but uh just a little fun
18:39
that after that but uh just a little fun
18:39
that after that but uh just a little fun little science thing I I I think I was
18:41
little science thing I I I think I was
18:41
little science thing I I I think I was just missing teachings more right and
18:43
just missing teachings more right and
18:44
just missing teachings more right and and that's you know that's actually you
18:46
and that's you know that's actually you
18:46
and that's you know that's actually you know uh one thing that I on do on
18:49
know uh one thing that I on do on
18:49
know uh one thing that I on do on purpose when I'm at conferences like
18:50
purpose when I'm at conferences like
18:50
purpose when I'm at conferences like build stuff you know is I I try to talk
18:53
build stuff you know is I I try to talk
18:53
build stuff you know is I I try to talk to PE you know one of the things I
18:55
to PE you know one of the things I
18:55
to PE you know one of the things I always recommend people when they go to
18:56
always recommend people when they go to
18:56
always recommend people when they go to a conference is talk to people you don't
18:58
a conference is talk to people you don't
18:58
a conference is talk to people you don't know right yeah because that's the way
19:01
know right yeah because that's the way
19:01
know right yeah because that's the way you get all different ideas not just the
19:04
you get all different ideas not just the
19:04
you get all different ideas not just the ideas in your little bubble right and uh
19:06
ideas in your little bubble right and uh
19:06
ideas in your little bubble right and uh and and especially now that you know I
19:09
and and especially now that you know I
19:09
and and especially now that you know I don't teach anymore and I don't run a
19:10
don't teach anymore and I don't run a
19:10
don't teach anymore and I don't run a user group anymore you know I I love you
19:14
user group anymore you know I I love you
19:14
user group anymore you know I I love you know talking to the developer especially
19:16
know talking to the developer especially
19:16
know talking to the developer especially the younger ones uh because that's how I
19:19
the younger ones uh because that's how I
19:19
the younger ones uh because that's how I stay in touch on what their needs are
19:21
stay in touch on what their needs are
19:21
stay in touch on what their needs are what they're struggling with you know
19:23
what they're struggling with you know
19:23
what they're struggling with you know stuff like that right you know but in
19:25
stuff like that right you know but in
19:25
stuff like that right you know but in some ways like this is a form of
19:27
some ways like this is a form of
19:27
some ways like this is a form of teaching like what do here right because
19:30
teaching like what do here right because
19:30
teaching like what do here right because it's a it's communication it's it's
19:32
it's a it's communication it's it's
19:32
it's a it's communication it's it's education and so it may not be like sort
19:34
education and so it may not be like sort
19:34
education and so it may not be like sort of lecture style where like you're like
19:36
of lecture style where like you're like
19:36
of lecture style where like you're like oh there's this concept but it's still
19:39
oh there's this concept but it's still
19:39
oh there's this concept but it's still educative educative well that's why I do
19:41
educative educative well that's why I do
19:41
educative educative well that's why I do this right it's you know I want to help
19:43
this right it's you know I want to help
19:43
this right it's you know I want to help other developers I mean I I get a lot
19:46
other developers I mean I I get a lot
19:46
other developers I mean I I get a lot out of the show you know because I have
19:48
out of the show you know because I have
19:48
out of the show you know because I have experts you know uh super smart people
19:51
experts you know uh super smart people
19:51
experts you know uh super smart people like yourself on my show so I definitely
19:53
like yourself on my show so I definitely
19:53
like yourself on my show so I definitely learned something from from everybody
19:56
learned something from from everybody
19:56
learned something from from everybody right and uh and but my goal is to share
19:59
right and uh and but my goal is to share
19:59
right and uh and but my goal is to share your knowledge with you know the
20:01
your knowledge with you know the
20:01
your knowledge with you know the thousands of people that are going to
20:02
thousands of people that are going to
20:03
thousands of people that are going to watch this episode right and uh and
20:05
watch this episode right and uh and
20:05
watch this episode right and uh and hopefully if it just sinks in on a
20:07
hopefully if it just sinks in on a
20:07
hopefully if it just sinks in on a couple people then I think I've done my
20:09
couple people then I think I've done my
20:09
couple people then I think I've done my job right it's yeah yeah it's it's
20:12
job right it's yeah yeah it's it's
20:12
job right it's yeah yeah it's it's that's the for for a long time now the
20:15
that's the for for a long time now the
20:15
that's the for for a long time now the tagline for my website is you know
20:17
tagline for my website is you know
20:17
tagline for my website is you know improving software development one
20:19
improving software development one
20:19
improving software development one developer at a time right because
20:22
developer at a time right because
20:22
developer at a time right because because even when I speak in front of
20:24
because even when I speak in front of
20:24
because even when I speak in front of people if I reach one person then I feel
20:26
people if I reach one person then I feel
20:26
people if I reach one person then I feel I succeed it right yeah just one person
20:29
I succeed it right yeah just one person
20:29
I succeed it right yeah just one person that's all I need to reach I don't need
20:30
that's all I need to reach I don't need
20:31
that's all I need to reach I don't need to reach everybody the hundreds of
20:32
to reach everybody the hundreds of
20:32
to reach everybody the hundreds of people in the audience just one right
20:35
people in the audience just one right
20:35
people in the audience just one right that's one when you think about it like
20:37
that's one when you think about it like
20:37
that's one when you think about it like one person is actually incredibly
20:39
one person is actually incredibly
20:39
one person is actually incredibly multi-dimensional you know that person
20:41
multi-dimensional you know that person
20:41
multi-dimensional you know that person has experiences as as as prior knowledge
20:44
has experiences as as as prior knowledge
20:44
has experiences as as as prior knowledge has friends family uh uh maybe a job or
20:48
has friends family uh uh maybe a job or
20:48
has friends family uh uh maybe a job or or like an experience and
20:52
like oh your audio cut
20:57
out uhoh oh there you go there you go
21:00
out uhoh oh there you go there you go
21:00
out uhoh oh there you go there you go that was like I was getting a call oh I
21:04
that was like I was getting a call oh I
21:04
that was like I was getting a call oh I got it oh hey everybody he's at
21:05
got it oh hey everybody he's at
21:05
got it oh hey everybody he's at Starbucks if you hear a lot of
21:07
Starbucks if you hear a lot of
21:07
Starbucks if you hear a lot of background noise Starbucks so then um
21:10
background noise Starbucks so then um
21:10
background noise Starbucks so then um it's just oh gosh did it disconnect hold
21:14
it's just oh gosh did it disconnect hold
21:14
it's just oh gosh did it disconnect hold up I can hear you but I don't know if
21:16
up I can hear you but I don't know if
21:16
up I can hear you but I don't know if you can hear me
21:18
you can hear me
21:18
you can hear me second do you hear me now I hear you
21:21
second do you hear me now I hear you
21:21
second do you hear me now I hear you yeah okay do you hear me okay yeah I can
21:24
yeah okay do you hear me okay yeah I can
21:24
yeah okay do you hear me okay yeah I can hear you now well the point is I was
21:25
hear you now well the point is I was
21:25
hear you now well the point is I was just going to say that affecting one
21:27
just going to say that affecting one
21:27
just going to say that affecting one person is feels way more significant
21:29
person is feels way more significant
21:29
person is feels way more significant than just saying one person because it's
21:31
than just saying one person because it's
21:31
than just saying one person because it's like if if you like try to subdivide
21:33
like if if you like try to subdivide
21:33
like if if you like try to subdivide that that one into a continuous like one
21:36
that that one into a continuous like one
21:36
that that one into a continuous like one it's like infinitesimally like infinite
21:40
it's like infinitesimally like infinite
21:40
it's like infinitesimally like infinite you know right it's and it's beautiful
21:42
you know right it's and it's beautiful
21:42
you know right it's and it's beautiful yeah yeah because if if I can affect one
21:43
yeah yeah because if if I can affect one
21:43
yeah yeah because if if I can affect one person then that person is going to
21:45
person then that person is going to
21:45
person then that person is going to affect multiple people right and then
21:48
affect multiple people right and then
21:48
affect multiple people right and then and so on and so on and and and at least
21:51
and so on and so on and and and at least
21:51
and so on and so on and and and at least for myself I hope that you know when I
21:53
for myself I hope that you know when I
21:54
for myself I hope that you know when I do speak in front of people or do this
21:56
do speak in front of people or do this
21:56
do speak in front of people or do this show or whatever you know I show my
21:58
show or whatever you know I show my
21:58
show or whatever you know I show my enthusiasm for doing that right to to
22:01
enthusiasm for doing that right to to
22:01
enthusiasm for doing that right to to encourage other people to get in front
22:03
encourage other people to get in front
22:03
encourage other people to get in front of people to speak right because to me I
22:06
of people to speak right because to me I
22:06
of people to speak right because to me I we've done shows about speaking in front
22:08
we've done shows about speaking in front
22:08
we've done shows about speaking in front of people and everything and you know to
22:10
of people and everything and you know to
22:10
of people and everything and you know to me speak in front of people even though
22:12
me speak in front of people even though
22:12
me speak in front of people even though it was the hardest thing to to to do in
22:15
it was the hardest thing to to to do in
22:16
it was the hardest thing to to to do in the
22:17
the
22:17
the beginning it it's very challenging I was
22:20
beginning it it's very challenging I was
22:20
beginning it it's very challenging I was scared to death right I hated speaking
22:22
scared to death right I hated speaking
22:22
scared to death right I hated speaking in front of anybody back then and um and
22:25
in front of anybody back then and um and
22:25
in front of anybody back then and um and you're a pro now yeah I'm I guess so but
22:28
you're a pro now yeah I'm I guess so but
22:28
you're a pro now yeah I'm I guess so but you know the thing is you know that
22:30
you know the thing is you know that
22:30
you know the thing is you know that speaking has not only helped my career
22:32
speaking has not only helped my career
22:32
speaking has not only helped my career it's helped my personal life you know
22:34
it's helped my personal life you know
22:34
it's helped my personal life you know it's it's just helped in so many ways
22:36
it's it's just helped in so many ways
22:36
it's it's just helped in so many ways that you know I just can't say enough
22:38
that you know I just can't say enough
22:38
that you know I just can't say enough that you know you all need to go learn
22:40
that you know you all need to go learn
22:40
that you know you all need to go learn how to speak in front of people I even
22:42
how to speak in front of people I even
22:42
how to speak in front of people I even if it's just your team which people
22:45
if it's just your team which people
22:45
if it's just your team which people don't like to do that either you still
22:47
don't like to do that either you still
22:47
don't like to do that either you still need to get your ideas across right
22:49
need to get your ideas across right
22:49
need to get your ideas across right especially as a software engineer what
22:51
especially as a software engineer what
22:51
especially as a software engineer what what's that isn't there like a a type of
22:54
what's that isn't there like a a type of
22:54
what's that isn't there like a a type of community called Toast Masters where
22:56
community called Toast Masters where
22:56
community called Toast Masters where they Toast Masters yeah I really want to
22:58
they Toast Masters yeah I really want to
22:58
they Toast Masters yeah I really want to start doing that because I feel like
22:59
start doing that because I feel like
22:59
start doing that because I feel like that's going to that I that I feel like
23:01
that's going to that I that I feel like
23:01
that's going to that I that I feel like that's a great way to go past like
23:04
that's a great way to go past like
23:04
that's a great way to go past like performance anxiety and like practice
23:06
performance anxiety and like practice
23:06
performance anxiety and like practice speaking because I'm still like a um
23:08
speaking because I'm still like a um
23:08
speaking because I'm still like a um even though like I speak a lot um it
23:11
even though like I speak a lot um it
23:11
even though like I speak a lot um it just it it's you know it's still a lot
23:13
just it it's you know it's still a lot
23:13
just it it's you know it's still a lot it's challenging it's challeng not it's
23:15
it's challenging it's challeng not it's
23:15
it's challenging it's challeng not it's not easy yeah and nowadays the only time
23:18
not easy yeah and nowadays the only time
23:18
not easy yeah and nowadays the only time I get nervous is like sometimes when I'm
23:20
I get nervous is like sometimes when I'm
23:21
I get nervous is like sometimes when I'm in a brand new country because I don't
23:22
in a brand new country because I don't
23:22
in a brand new country because I don't know how the developers are going to
23:24
know how the developers are going to
23:24
know how the developers are going to react to me but I like I I remember
23:27
react to me but I like I I remember
23:27
react to me but I like I I remember being a little bit nervous first time I
23:28
being a little bit nervous first time I
23:28
being a little bit nervous first time I was in India you know uh I was I was
23:31
was in India you know uh I was I was
23:31
was in India you know uh I was I was definitely nervous first time I was in
23:33
definitely nervous first time I was in
23:33
definitely nervous first time I was in Ukraine speaking and uh and uh and so
23:37
Ukraine speaking and uh and uh and so
23:37
Ukraine speaking and uh and uh and so you know so I get a little bit nervous
23:38
you know so I get a little bit nervous
23:38
you know so I get a little bit nervous then but you know I I've spoken in front
23:41
then but you know I I've spoken in front
23:41
then but you know I I've spoken in front of close to a thousand people and it
23:42
of close to a thousand people and it
23:42
of close to a thousand people and it doesn't bother me right I my stomach
23:45
doesn't bother me right I my stomach
23:45
doesn't bother me right I my stomach doesn't get upset I don't get anxiety
23:48
doesn't get upset I don't get anxiety
23:48
doesn't get upset I don't get anxiety you know and that's actually one of the
23:50
you know and that's actually one of the
23:50
you know and that's actually one of the reasons why I never stand at the podium
23:52
reasons why I never stand at the podium
23:52
reasons why I never stand at the podium is because walking helps get rid of
23:55
is because walking helps get rid of
23:55
is because walking helps get rid of Whatever anxiety that I have right
23:58
Whatever anxiety that I have right
23:58
Whatever anxiety that I have right walking is a beautiful thing yeah yeah I
24:00
walking is a beautiful thing yeah yeah I
24:00
walking is a beautiful thing yeah yeah I walk for for every hour I'm speaking I
24:03
walk for for every hour I'm speaking I
24:03
walk for for every hour I'm speaking I walk like three miles and
24:07
walk like three miles and
24:07
walk like three miles and uh so getting your steps in I I do get
24:10
uh so getting your steps in I I do get
24:10
uh so getting your steps in I I do get my steps in but it it does help me you
24:12
my steps in but it it does help me you
24:13
my steps in but it it does help me you know alleviate the anxiety of speaking
24:15
know alleviate the anxiety of speaking
24:15
know alleviate the anxiety of speaking in front of people because it in the end
24:18
in front of people because it in the end
24:18
in front of people because it in the end I'm still don't like it you know that
24:22
I'm still don't like it you know that
24:22
I'm still don't like it you know that much right because I'm an introvert a
24:24
much right because I'm an introvert a
24:24
much right because I'm an introvert a lot most of us are all introverts right
24:26
lot most of us are all introverts right
24:26
lot most of us are all introverts right and uh and it's know speaking is usually
24:29
and uh and it's know speaking is usually
24:29
and uh and it's know speaking is usually not our first thing right yeah but we
24:32
not our first thing right yeah but we
24:32
not our first thing right yeah but we still have to do it it's it's good
24:34
still have to do it it's it's good
24:34
still have to do it it's it's good practice it's good for the soul yeah
24:36
practice it's good for the soul yeah
24:36
practice it's good for the soul yeah especially if you're G to be a teacher
24:38
especially if you're G to be a teacher
24:38
especially if you're G to be a teacher right yeah yeah yeah although like the
24:41
right yeah yeah yeah although like the
24:41
right yeah yeah yeah although like the way that I like to um see so I'm I don't
24:46
way that I like to um see so I'm I don't
24:46
way that I like to um see so I'm I don't I'm not a big fan of like lecture style
24:48
I'm not a big fan of like lecture style
24:48
I'm not a big fan of like lecture style teaching actually I really enjoy Project
24:51
teaching actually I really enjoy Project
24:51
teaching actually I really enjoy Project based learning so providing students
24:54
based learning so providing students
24:54
based learning so providing students with like a project that requires
24:56
with like a project that requires
24:56
with like a project that requires multiple steps and then each step there
24:59
multiple steps and then each step there
24:59
multiple steps and then each step there there sub there's substeps right and uh
25:02
there sub there's substeps right and uh
25:02
there sub there's substeps right and uh that kind of way I feel like that kind
25:04
that kind of way I feel like that kind
25:04
that kind of way I feel like that kind of experiential learning I feel is way
25:05
of experiential learning I feel is way
25:05
of experiential learning I feel is way more effective um and the way that I
25:10
more effective um and the way that I
25:10
more effective um and the way that I also try to implement my sort of
25:12
also try to implement my sort of
25:12
also try to implement my sort of anarchist mentality towards you know
25:14
anarchist mentality towards you know
25:14
anarchist mentality towards you know archaic lecture type learning is in like
25:18
archaic lecture type learning is in like
25:18
archaic lecture type learning is in like some of the videos that I make for the
25:19
some of the videos that I make for the
25:19
some of the videos that I make for the for that I that I have on like the
25:21
for that I that I have on like the
25:21
for that I that I have on like the YouTube for like teaching things because
25:23
YouTube for like teaching things because
25:23
YouTube for like teaching things because that way people can rewind and then try
25:24
that way people can rewind and then try
25:24
that way people can rewind and then try to make it entertaining and that the
25:26
to make it entertaining and that the
25:26
to make it entertaining and that the learning is more of a a high level uh
25:29
learning is more of a a high level uh
25:30
learning is more of a a high level uh yeah I don't know I I just I just had a
25:32
yeah I don't know I I just I just had a
25:32
yeah I don't know I I just I just had a hard time in school learning in like the
25:34
hard time in school learning in like the
25:34
hard time in school learning in like the way that education was set up yeah I got
25:37
way that education was set up yeah I got
25:37
way that education was set up yeah I got distracted it it was I couldn't focus it
25:40
distracted it it was I couldn't focus it
25:40
distracted it it was I couldn't focus it was very difficult I'm not saying like
25:41
was very difficult I'm not saying like
25:41
was very difficult I'm not saying like oh I want I prefer oneon-one or I prefer
25:43
oh I want I prefer oneon-one or I prefer
25:43
oh I want I prefer oneon-one or I prefer Zoom or anything like that no I think
25:45
Zoom or anything like that no I think
25:45
Zoom or anything like that no I think it's it's not everybody can process
25:47
it's it's not everybody can process
25:47
it's it's not everybody can process information in the same way and so it's
25:51
information in the same way and so it's
25:51
information in the same way and so it's I didn't have a great time it was very
25:53
I didn't have a great time it was very
25:53
I didn't have a great time it was very challenging so that's why I'm like more
25:54
challenging so that's why I'm like more
25:54
challenging so that's why I'm like more of I've like since I do so many of these
25:57
of I've like since I do so many of these
25:57
of I've like since I do so many of these crazy weird things
25:58
crazy weird things
25:59
crazy weird things it's all projects and I've learned and I
26:02
it's all projects and I've learned and I
26:02
it's all projects and I've learned and I continue to learn with every project
26:03
continue to learn with every project
26:03
continue to learn with every project kind of like how you like to meet
26:04
kind of like how you like to meet
26:04
kind of like how you like to meet someone you don't you've never met
26:06
someone you don't you've never met
26:06
someone you don't you've never met before uh or or or teach a class you've
26:08
before uh or or or teach a class you've
26:08
before uh or or or teach a class you've never taught before same with like the
26:10
never taught before same with like the
26:10
never taught before same with like the projects that I do or although more
26:13
projects that I do or although more
26:13
projects that I do or although more recently I started to try to like like
26:15
recently I started to try to like like
26:15
recently I started to try to like like if if there's like a a sort of Delta of
26:18
if if there's like a a sort of Delta of
26:18
if if there's like a a sort of Delta of of novelty it needs to reach some
26:20
of novelty it needs to reach some
26:20
of novelty it needs to reach some threshold for me to do it but I'm trying
26:22
threshold for me to do it but I'm trying
26:22
threshold for me to do it but I'm trying to have more overlap now otherwise uh my
26:26
to have more overlap now otherwise uh my
26:26
to have more overlap now otherwise uh my time management gets completely messed
26:27
time management gets completely messed
26:27
time management gets completely messed up
26:28
up
26:28
up it's too much novelty and I it's too
26:32
it's too much novelty and I it's too
26:32
it's too much novelty and I it's too much to do yeah but if I if there's
26:34
much to do yeah but if I if there's
26:34
much to do yeah but if I if there's enough overlap then like I can overcome
26:36
enough overlap then like I can overcome
26:36
enough overlap then like I can overcome the activation energy to start and the
26:38
the activation energy to start and the
26:38
the activation energy to start and the learning that I get to do is building on
26:41
learning that I get to do is building on
26:41
learning that I get to do is building on top of something I've already learned
26:42
top of something I've already learned
26:42
top of something I've already learned yeah yeah that's that's my new strategy
26:45
yeah yeah that's that's my new strategy
26:45
yeah yeah that's that's my new strategy yeah well we should change the subject
26:48
yeah well we should change the subject
26:48
yeah well we should change the subject but the LA you know the the the last
26:51
but the LA you know the the the last
26:51
but the LA you know the the the last thing I'd like to say is you know I I
26:53
thing I'd like to say is you know I I
26:53
thing I'd like to say is you know I I feel that everybody has something to
26:55
feel that everybody has something to
26:55
feel that everybody has something to give and I and I encourage everybody out
26:57
give and I and I encourage everybody out
26:57
give and I and I encourage everybody out there no matter what your skill is try
27:00
there no matter what your skill is try
27:00
there no matter what your skill is try to teach it to somebody right it's it's
27:02
to teach it to somebody right it's it's
27:02
to teach it to somebody right it's it's really really rewarding whatever the
27:04
really really rewarding whatever the
27:04
really really rewarding whatever the skill is even if it's music or doing
27:08
skill is even if it's music or doing
27:08
skill is even if it's music or doing gardening who cares everybody's got
27:10
gardening who cares everybody's got
27:10
gardening who cares everybody's got something right and uh and and and don't
27:13
something right and uh and and and don't
27:13
something right and uh and and and don't be intimidated by people who do like to
27:15
be intimidated by people who do like to
27:15
be intimidated by people who do like to teach because I I get that too right
27:17
teach because I I get that too right
27:17
teach because I I get that too right it's like oh you're a teacher I I'm I'm
27:20
it's like oh you're a teacher I I'm I'm
27:20
it's like oh you're a teacher I I'm I'm not even I can't do anything you do and
27:22
not even I can't do anything you do and
27:22
not even I can't do anything you do and I go everybody has something to give I
27:25
I go everybody has something to give I
27:25
I go everybody has something to give I think right anyway let's talk about AI
27:28
think right anyway let's talk about AI
27:28
think right anyway let's talk about AI because you know this is a big week at
27:30
because you know this is a big week at
27:30
because you know this is a big week at Microsoft the build conference I don't
27:32
Microsoft the build conference I don't
27:32
Microsoft the build conference I don't know how much of the build of build you
27:34
know how much of the build of build you
27:34
know how much of the build of build you watch but I did not watch but I I did
27:37
watch but I did not watch but I I did
27:37
watch but I did not watch but I I did see some of the headlines yeah the build
27:39
see some of the headlines yeah the build
27:39
see some of the headlines yeah the build is everything is going everything
27:43
is everything is going everything
27:43
is everything is going everything co-pilot is going to run the world and
27:46
co-pilot is going to run the world and
27:46
co-pilot is going to run the world and uh if Microsoft and and I for one you
27:48
uh if Microsoft and and I for one you
27:48
uh if Microsoft and and I for one you know I knew Microsoft was you know doing
27:51
know I knew Microsoft was you know doing
27:51
know I knew Microsoft was you know doing this but I didn't know the extent of it
27:53
this but I didn't know the extent of it
27:54
this but I didn't know the extent of it until this week right it it's it's in
27:57
until this week right it it's it's in
27:57
until this week right it it's it's in every it's going to be in every single
27:58
every it's going to be in every single
27:58
every it's going to be in every single Microsoft product right and uh pretty
28:01
Microsoft product right and uh pretty
28:01
Microsoft product right and uh pretty much and uh and even the operating
28:04
much and uh and even the operating
28:04
much and uh and even the operating system so uh you know the the AI is here
28:08
system so uh you know the the AI is here
28:08
system so uh you know the the AI is here and one thing I was saying to someone
28:10
and one thing I was saying to someone
28:10
and one thing I was saying to someone this week is you know I'm not afraid of
28:12
this week is you know I'm not afraid of
28:12
this week is you know I'm not afraid of AI taking my job right um uh because I
28:16
AI taking my job right um uh because I
28:16
AI taking my job right um uh because I think AI is just an assistant that will
28:18
think AI is just an assistant that will
28:18
think AI is just an assistant that will help us do our job the the thing that
28:20
help us do our job the the thing that
28:20
help us do our job the the thing that stresses me is learning how to use AI at
28:24
stresses me is learning how to use AI at
28:24
stresses me is learning how to use AI at my job right and because AI is pretty
28:29
my job right and because AI is pretty
28:29
my job right and because AI is pretty it's a brand new not brand new but it's
28:32
it's a brand new not brand new but it's
28:32
it's a brand new not brand new but it's pretty new especially for everybody to
28:34
pretty new especially for everybody to
28:34
pretty new especially for everybody to use like chat GPT and co-pilot and you
28:37
use like chat GPT and co-pilot and you
28:38
use like chat GPT and co-pilot and you know stuff like that but you know how
28:40
know stuff like that but you know how
28:40
know stuff like that but you know how are we going to start incorporating you
28:42
are we going to start incorporating you
28:42
are we going to start incorporating you know these AI services from whatever
28:45
know these AI services from whatever
28:45
know these AI services from whatever company into our products right and
28:48
company into our products right and
28:48
company into our products right and because everybody's going to want that I
28:50
because everybody's going to want that I
28:50
because everybody's going to want that I mean you see commercials on TV you know
28:52
mean you see commercials on TV you know
28:53
mean you see commercials on TV you know it actually the my new TV that I bought
28:56
it actually the my new TV that I bought
28:56
it actually the my new TV that I bought it it says it's an AI TV I have no idea
28:59
it it says it's an AI TV I have no idea
28:59
it it says it's an AI TV I have no idea what it's talking about buzz word buzz
29:01
what it's talking about buzz word buzz
29:01
what it's talking about buzz word buzz word
29:02
word
29:02
word TV it's like it's like when the cloud
29:05
TV it's like it's like when the cloud
29:05
TV it's like it's like when the cloud came out right everything in the cloud
29:07
came out right everything in the cloud
29:07
came out right everything in the cloud even though most people don't even know
29:09
even though most people don't even know
29:09
even though most people don't even know what the heck the cloud is right and
29:11
what the heck the cloud is right and
29:11
what the heck the cloud is right and everything was kind of already in the
29:12
everything was kind of already in the
29:12
everything was kind of already in the cloud because it's just serers somewhere
29:15
cloud because it's just serers somewhere
29:15
cloud because it's just serers somewhere physically the cloud is just a marketing
29:17
physically the cloud is just a marketing
29:17
physically the cloud is just a marketing term right there's no such thing as the
29:19
term right there's no such thing as the
29:19
term right there's no such thing as the cloud climate change right it's like
29:22
cloud climate change right it's like
29:22
cloud climate change right it's like it's all terms right but now
29:24
it's all terms right but now
29:24
it's all terms right but now everything's Ai and even you know uh
29:27
everything's Ai and even you know uh
29:27
everything's Ai and even you know uh what's the thing I heard today about
29:29
what's the thing I heard today about
29:29
what's the thing I heard today about their uh uh I forget what it was but it
29:33
their uh uh I forget what it was but it
29:33
their uh uh I forget what it was but it was just going really you're talking
29:35
was just going really you're talking
29:35
was just going really you're talking about AI in this commercial has no come
29:37
about AI in this commercial has no come
29:37
about AI in this commercial has no come on you guys are going a little too far
29:39
on you guys are going a little too far
29:39
on you guys are going a little too far now oh my God yeah no it it'll correct
29:43
now oh my God yeah no it it'll correct
29:43
now oh my God yeah no it it'll correct it it'll self-correct after a while but
29:46
it it'll self-correct after a while but
29:46
it it'll self-correct after a while but now everybody is ai ai ai
29:49
now everybody is ai ai ai
29:49
now everybody is ai ai ai right yeah no these these it's it's it's
29:54
right yeah no these these it's it's it's
29:54
right yeah no these these it's it's it's kind of annoying though sometimes
29:55
kind of annoying though sometimes
29:55
kind of annoying though sometimes because a lot of the AI is
29:58
because a lot of the AI is
29:58
because a lot of the AI is I feel like it's just not the right word
30:00
I feel like it's just not the right word
30:00
I feel like it's just not the right word to use most of the time and for the
30:02
to use most of the time and for the
30:02
to use most of the time and for the longest time it was just machine
30:04
longest time it was just machine
30:04
longest time it was just machine learning which is just you know linear
30:06
learning which is just you know linear
30:06
learning which is just you know linear regression counts as machine learning
30:09
regression counts as machine learning
30:09
regression counts as machine learning you know uh so AI is just like I don't
30:13
you know uh so AI is just like I don't
30:13
you know uh so AI is just like I don't know you know like just like when deep
30:15
know you know like just like when deep
30:15
know you know like just like when deep neural Nets was came with in deep
30:17
neural Nets was came with in deep
30:17
neural Nets was came with in deep learning it was just like a neural
30:19
learning it was just like a neural
30:19
learning it was just like a neural network with like more than one hidden
30:22
network with like more than one hidden
30:22
network with like more than one hidden layer and now it's deep and so now it's
30:25
layer and now it's deep and so now it's
30:25
layer and now it's deep and so now it's like all these terms just to like
30:27
like all these terms just to like
30:27
like all these terms just to like they're buzzwords um and obviously they
30:30
they're buzzwords um and obviously they
30:30
they're buzzwords um and obviously they sell so I'm not going to blame it yeah
30:32
sell so I'm not going to blame it yeah
30:32
sell so I'm not going to blame it yeah anybody you know when you said like oh
30:34
anybody you know when you said like oh
30:34
anybody you know when you said like oh people are afraid about um about
30:37
people are afraid about um about
30:37
people are afraid about um about potential you know replacement of jobs
30:40
potential you know replacement of jobs
30:40
potential you know replacement of jobs there's like a big idea right of of the
30:43
there's like a big idea right of of the
30:43
there's like a big idea right of of the the difference between replacement
30:44
the difference between replacement
30:44
the difference between replacement versus displacement and I'm not I'm not
30:47
versus displacement and I'm not I'm not
30:47
versus displacement and I'm not I'm not sure where I stand now um there's like
30:51
sure where I stand now um there's like
30:51
sure where I stand now um there's like an article that I read that was saying
30:52
an article that I read that was saying
30:52
an article that I read that was saying like oh all these layoffs that are
30:54
like oh all these layoffs that are
30:54
like oh all these layoffs that are happening because like you know how
30:55
happening because like you know how
30:55
happening because like you know how they're like in 2023 and 202 early of
30:58
they're like in 2023 and 202 early of
30:58
they're like in 2023 and 202 early of this year massively has like thousands
31:00
this year massively has like thousands
31:00
this year massively has like thousands and thousands of people are being laid
31:01
and thousands of people are being laid
31:01
and thousands of people are being laid off but sometimes people forget that
31:03
off but sometimes people forget that
31:04
off but sometimes people forget that with between like 2019 and
31:06
with between like 2019 and
31:06
with between like 2019 and 20123 millions of people were hired at
31:08
20123 millions of people were hired at
31:08
20123 millions of people were hired at all these big tech companies Millions
31:10
all these big tech companies Millions
31:10
all these big tech companies Millions yeah and so the thousands of people that
31:12
yeah and so the thousands of people that
31:12
yeah and so the thousands of people that were fired actually it's kind of like a
31:14
were fired actually it's kind of like a
31:14
were fired actually it's kind of like a small number compared to like how many
31:16
small number compared to like how many
31:16
small number compared to like how many they hired yeah it's still horrible it's
31:19
they hired yeah it's still horrible it's
31:19
they hired yeah it's still horrible it's horrible like sucks to like to to be one
31:21
horrible like sucks to like to to be one
31:21
horrible like sucks to like to to be one of those that got let go um but then in
31:24
of those that got let go um but then in
31:24
of those that got let go um but then in this article I think they were they were
31:26
this article I think they were they were
31:26
this article I think they were they were trying to make an account of of how much
31:28
trying to make an account of of how much
31:28
trying to make an account of of how much it had to do with AI and the majority of
31:31
it had to do with AI and the majority of
31:31
it had to do with AI and the majority of it did not and there's like so many
31:34
it did not and there's like so many
31:34
it did not and there's like so many reasons why like there could have been
31:36
reasons why like there could have been
31:36
reasons why like there could have been uh all the layoffs you know like
31:38
uh all the layoffs you know like
31:38
uh all the layoffs you know like pandemic happened and uh you know the
31:42
pandemic happened and uh you know the
31:42
pandemic happened and uh you know the the the people's routines change after
31:44
the the people's routines change after
31:44
the the people's routines change after things got back to normal so that's one
31:46
things got back to normal so that's one
31:46
things got back to normal so that's one thing you know you could have had um
31:48
thing you know you could have had um
31:48
thing you know you could have had um there's like some more interesting
31:50
there's like some more interesting
31:50
there's like some more interesting theories about uh stock uh uh BuyBacks
31:54
theories about uh stock uh uh BuyBacks
31:54
theories about uh stock uh uh BuyBacks where like you know companies like re uh
31:56
where like you know companies like re uh
31:56
where like you know companies like re uh buy back their stock to like increase
31:59
buy back their stock to like increase
31:59
buy back their stock to like increase the value and to I don't know there's so
32:02
the value and to I don't know there's so
32:02
the value and to I don't know there's so many theories it's hard to tell whether
32:04
many theories it's hard to tell whether
32:04
many theories it's hard to tell whether the layoffs have to do with automation
32:05
the layoffs have to do with automation
32:05
the layoffs have to do with automation but there's one interesting thing
32:07
but there's one interesting thing
32:07
but there's one interesting thing there's um Ted Chang he's the author uh
32:09
there's um Ted Chang he's the author uh
32:09
there's um Ted Chang he's the author uh who's uh who does tons of sci-fi tons of
32:13
who's uh who does tons of sci-fi tons of
32:13
who's uh who does tons of sci-fi tons of really cool short stories uh and one of
32:15
really cool short stories uh and one of
32:15
really cool short stories uh and one of his uh books turned into the movie
32:17
his uh books turned into the movie
32:18
his uh books turned into the movie arrival so he was at a podcast and he
32:21
arrival so he was at a podcast and he
32:21
arrival so he was at a podcast and he was saying how that he doesn't think
32:23
was saying how that he doesn't think
32:23
was saying how that he doesn't think what when people say they fear AI he
32:27
what when people say they fear AI he
32:27
what when people say they fear AI he thinks it's not really fear of AI
32:29
thinks it's not really fear of AI
32:29
thinks it's not really fear of AI because of AI it's really fear of
32:32
because of AI it's really fear of
32:32
because of AI it's really fear of capitalism and what AI might mean
32:35
capitalism and what AI might mean
32:35
capitalism and what AI might mean because of capitalistic system now I'm
32:37
because of capitalistic system now I'm
32:37
because of capitalistic system now I'm not here to like you know talk about you
32:38
not here to like you know talk about you
32:38
not here to like you know talk about you know like you know e economics like know
32:42
know like you know e economics like know
32:42
know like you know e economics like know what kind what should we do capitalism
32:44
what kind what should we do capitalism
32:44
what kind what should we do capitalism social um but it's an interesting
32:45
social um but it's an interesting
32:46
social um but it's an interesting thought
32:47
thought
32:47
thought um it's an interesting thought yeah and
32:50
um it's an interesting thought yeah and
32:50
um it's an interesting thought yeah and you know I I I watch a lot of uh um you
32:55
you know I I I watch a lot of uh um you
32:55
you know I I I watch a lot of uh um you know uh sci-fi shows you know
32:58
know uh sci-fi shows you know
32:58
know uh sci-fi shows you know um I just got done watching uh for the
33:01
um I just got done watching uh for the
33:01
um I just got done watching uh for the second time I think Travelers which
33:03
second time I think Travelers which
33:03
second time I think Travelers which isn't on anymore and you know that that
33:06
isn't on anymore and you know that that
33:06
isn't on anymore and you know that that is heavily AI because everything is run
33:09
is heavily AI because everything is run
33:09
is heavily AI because everything is run by this AI machine in the future right
33:12
by this AI machine in the future right
33:12
by this AI machine in the future right and um but I I enjoy look you know
33:15
and um but I I enjoy look you know
33:15
and um but I I enjoy look you know watching those shows because you know
33:18
watching those shows because you know
33:18
watching those shows because you know sometimes filmmakers know what's coming
33:20
sometimes filmmakers know what's coming
33:20
sometimes filmmakers know what's coming right and they put it in their movies
33:22
right and they put it in their movies
33:22
right and they put it in their movies and stuff and so I I like to to think
33:25
and stuff and so I I like to to think
33:25
and stuff and so I I like to to think about you know what these dilemas are
33:27
about you know what these dilemas are
33:27
about you know what these dilemas are going to be in our near future right and
33:30
going to be in our near future right and
33:30
going to be in our near future right and I also like to watch older shows because
33:32
I also like to watch older shows because
33:32
I also like to watch older shows because I I like to see if they got AI correct
33:34
I I like to see if they got AI correct
33:34
I I like to see if they got AI correct or not you
33:37
or not you
33:37
or not you know there's like a there's like a Isaac
33:40
know there's like a there's like a Isaac
33:40
know there's like a there's like a Isaac azimov in 19 was it 1984 or
33:47
196 long time ago it was like a it was
33:50
196 long time ago it was like a it was
33:50
196 long time ago it was like a it was like the it was like the World's Fair
33:53
like the it was like the World's Fair
33:53
like the it was like the World's Fair and you wrote a you wrote an article in
33:55
and you wrote a you wrote an article in
33:55
and you wrote a you wrote an article in the New York Times uh with like multiple
33:57
the New York Times uh with like multiple
33:57
the New York Times uh with like multiple predictions uh based on what he had seen
33:59
predictions uh based on what he had seen
33:59
predictions uh based on what he had seen at the World's Fair and some of them he
34:02
at the World's Fair and some of them he
34:02
at the World's Fair and some of them he nailed like he said by
34:04
nailed like he said by
34:04
nailed like he said by 2014 um there was going to be uh um
34:08
2014 um there was going to be uh um
34:08
2014 um there was going to be uh um fusion fusion reactors are going to be
34:11
fusion fusion reactors are going to be
34:11
fusion fusion reactors are going to be uh uh uh you know Factory um yeah
34:14
uh uh uh you know Factory um yeah
34:14
uh uh uh you know Factory um yeah factories are gonna be placed all over
34:16
factories are gonna be placed all over
34:16
factories are gonna be placed all over the states he's not exactly off because
34:18
the states he's not exactly off because
34:18
the states he's not exactly off because they finally were able to crack like I
34:20
they finally were able to crack like I
34:20
they finally were able to crack like I think it was like 2018 2019 remember
34:23
think it was like 2018 2019 remember
34:23
think it was like 2018 2019 remember 2020 uh uh like more energy was came off
34:27
2020 uh uh like more energy was came off
34:27
2020 uh uh like more energy was came off from how much energy was put in and so
34:29
from how much energy was put in and so
34:29
from how much energy was put in and so that was like a crazy prediction for him
34:31
that was like a crazy prediction for him
34:31
that was like a crazy prediction for him to do there's other predictions about oh
34:33
to do there's other predictions about oh
34:34
to do there's other predictions about oh he thought that um uh
34:36
he thought that um uh
34:36
he thought that um uh between I think it was DC and and New
34:40
between I think it was DC and and New
34:40
between I think it was DC and and New York or New York and Boston it was just
34:42
York or New York and Boston it was just
34:42
York or New York and Boston it was just GNA become a mega city which is like
34:44
GNA become a mega city which is like
34:44
GNA become a mega city which is like kind of like hilarious like but he got
34:46
kind of like hilarious like but he got
34:46
kind of like hilarious like but he got that one wrong but there's there's a lot
34:48
that one wrong but there's there's a lot
34:48
that one wrong but there's there's a lot of cool predictions I highly recommend
34:49
of cool predictions I highly recommend
34:49
of cool predictions I highly recommend anybody to that that are curious to go
34:51
anybody to that that are curious to go
34:51
anybody to that that are curious to go and check out Isaac asal's predictions
34:53
and check out Isaac asal's predictions
34:53
and check out Isaac asal's predictions New York Times I'm sure if you just
34:55
New York Times I'm sure if you just
34:55
New York Times I'm sure if you just search it up it'll it'll it'll come up
34:56
search it up it'll it'll it'll come up
34:57
search it up it'll it'll it'll come up yeah yeah yeah so sci-fi writers have a
34:58
yeah yeah yeah so sci-fi writers have a
34:58
yeah yeah yeah so sci-fi writers have a lot of great intuition about what's
35:01
lot of great intuition about what's
35:01
lot of great intuition about what's gonna happen and I think it's because um
35:03
gonna happen and I think it's because um
35:03
gonna happen and I think it's because um they're not bounded like for me I love
35:05
they're not bounded like for me I love
35:05
they're not bounded like for me I love sci-fi and I and I love storytelling but
35:08
sci-fi and I and I love storytelling but
35:08
sci-fi and I and I love storytelling but sometimes when I think about when I wna
35:10
sometimes when I think about when I wna
35:10
sometimes when I think about when I wna because I I am interested in doing
35:11
because I I am interested in doing
35:11
because I I am interested in doing fiction but I've realized that I try to
35:14
fiction but I've realized that I try to
35:14
fiction but I've realized that I try to be as realistic as possible and that
35:17
be as realistic as possible and that
35:17
be as realistic as possible and that bounds me that bounds me bounds my
35:20
bounds me that bounds me bounds my
35:20
bounds me that bounds me bounds my thoughts but if you're just a if you're
35:22
thoughts but if you're just a if you're
35:22
thoughts but if you're just a if you're just fiction writer and you're not
35:23
just fiction writer and you're not
35:24
just fiction writer and you're not thinking about being bounded by what the
35:26
thinking about being bounded by what the
35:26
thinking about being bounded by what the knowledge you have about what currently
35:27
knowledge you have about what currently
35:27
knowledge you have about what currently work to what works then you can have
35:29
work to what works then you can have
35:29
work to what works then you can have impossibility at your hands and when you
35:30
impossibility at your hands and when you
35:30
impossibility at your hands and when you have impossibility at your hands then
35:32
have impossibility at your hands then
35:32
have impossibility at your hands then you can be creative about what is
35:33
you can be creative about what is
35:33
you can be creative about what is possible well that you know that reminds
35:36
possible well that you know that reminds
35:36
possible well that you know that reminds me of uh you know one of the things I
35:38
me of uh you know one of the things I
35:38
me of uh you know one of the things I really enjoy watching is the newer like
35:40
really enjoy watching is the newer like
35:40
really enjoy watching is the newer like Star Trek um series like Star Trek beard
35:44
Star Trek um series like Star Trek beard
35:44
Star Trek um series like Star Trek beard oh uh uh the uh what's the current one
35:48
oh uh uh the uh what's the current one
35:48
oh uh uh the uh what's the current one that's on this last season Star Trek um
35:51
that's on this last season Star Trek um
35:51
that's on this last season Star Trek um a discovery right and uh but you know
35:54
a discovery right and uh but you know
35:54
a discovery right and uh but you know one thing I've noticed you know watching
35:56
one thing I've noticed you know watching
35:56
one thing I've noticed you know watching shows like that you even Star Wars maybe
35:59
shows like that you even Star Wars maybe
35:59
shows like that you even Star Wars maybe not Star Wars but uh is if you look at
36:02
not Star Wars but uh is if you look at
36:02
not Star Wars but uh is if you look at their user interfaces they're so much
36:04
their user interfaces they're so much
36:04
their user interfaces they're so much cooler than anything we've come up with
36:07
cooler than anything we've come up with
36:07
cooler than anything we've come up with right and I know and it's so it looks so
36:11
right and I know and it's so it looks so
36:11
right and I know and it's so it looks so much more intuitive than anything we've
36:13
much more intuitive than anything we've
36:13
much more intuitive than anything we've come up with right that software
36:15
come up with right that software
36:15
come up with right that software developers have come up with and and
36:17
developers have come up with and and
36:18
developers have come up with and and it's you're right because they're not
36:20
it's you're right because they're not
36:20
it's you're right because they're not software Engineers they're not bound by
36:23
software Engineers they're not bound by
36:23
software Engineers they're not bound by what we know is possible at this point
36:26
what we know is possible at this point
36:26
what we know is possible at this point right and they just do they just come up
36:29
right and they just do they just come up
36:29
right and they just do they just come up with this stuff and I just sit there and
36:31
with this stuff and I just sit there and
36:31
with this stuff and I just sit there and I sometimes I intensely look at their
36:33
I sometimes I intensely look at their
36:33
I sometimes I intensely look at their interfaces going oh we need to learn to
36:35
interfaces going oh we need to learn to
36:35
interfaces going oh we need to learn to do something like that right and yeah
36:38
do something like that right and yeah
36:38
do something like that right and yeah the the UI is so beautiful I mean
36:40
the the UI is so beautiful I mean
36:41
the the UI is so beautiful I mean Minority Report for example had such had
36:43
Minority Report for example had such had
36:43
Minority Report for example had such had a so many great things in that movie
36:46
a so many great things in that movie
36:46
a so many great things in that movie also yeah yeah and they predicted a lot
36:48
also yeah yeah and they predicted a lot
36:48
also yeah yeah and they predicted a lot of things too yeah Minority Report and a
36:50
of things too yeah Minority Report and a
36:51
of things too yeah Minority Report and a lot of like the VR things yeah monor is
36:53
lot of like the VR things yeah monor is
36:53
lot of like the VR things yeah monor is a good one for science fiction uh
36:56
a good one for science fiction uh
36:56
a good one for science fiction uh enthusiasts to see as like a great
36:58
enthusiasts to see as like a great
36:58
enthusiasts to see as like a great predictor of what ended up actually
37:01
predictor of what ended up actually
37:01
predictor of what ended up actually happening with some with some relatively
37:03
happening with some with some relatively
37:03
happening with some with some relatively good accuracy yeah yeah yeah so uh so
37:07
good accuracy yeah yeah yeah so uh so
37:07
good accuracy yeah yeah yeah so uh so don't be afraid of AI at least in this
37:10
don't be afraid of AI at least in this
37:10
don't be afraid of AI at least in this in this career you know a there's many
37:13
in this career you know a there's many
37:13
in this career you know a there's many careers AI is going to dramatically
37:15
careers AI is going to dramatically
37:15
careers AI is going to dramatically change there's no doubt about that but
37:18
change there's no doubt about that but
37:18
change there's no doubt about that but as far as the Tech Career goes I don't
37:21
as far as the Tech Career goes I don't
37:21
as far as the Tech Career goes I don't see it hurting it I just see it helping
37:23
see it hurting it I just see it helping
37:23
see it hurting it I just see it helping it right and we just have to just like
37:26
it right and we just have to just like
37:26
it right and we just have to just like you know when we went through through
37:27
you know when we went through through
37:27
you know when we went through through the internet boom and you know all these
37:30
the internet boom and you know all these
37:30
the internet boom and you know all these different you know things that have
37:32
different you know things that have
37:32
different you know things that have happened at least in my career you know
37:34
happened at least in my career you know
37:34
happened at least in my career you know we got to learn the new thing right and
37:36
we got to learn the new thing right and
37:36
we got to learn the new thing right and so don't be afraid of it you know uh you
37:39
so don't be afraid of it you know uh you
37:39
so don't be afraid of it you know uh you know one thing I tell developers all the
37:40
know one thing I tell developers all the
37:40
know one thing I tell developers all the time is is is I want to write less code
37:44
time is is is I want to write less code
37:44
time is is is I want to write less code right it our job is not really writing
37:47
right it our job is not really writing
37:47
right it our job is not really writing code right our job is solving problems
37:50
code right our job is solving problems
37:50
code right our job is solving problems right and you know code code is just a
37:54
right and you know code code is just a
37:54
right and you know code code is just a way to do that right and and the L I can
37:58
way to do that right and and the L I can
37:58
way to do that right and and the L I can write the better it is because then that
38:00
write the better it is because then that
38:00
write the better it is because then that frees me up to think about creating
38:03
frees me up to think about creating
38:03
frees me up to think about creating these cool interfaces or things like
38:05
these cool interfaces or things like
38:05
these cool interfaces or things like that that we can't really do now because
38:06
that that we can't really do now because
38:06
that that we can't really do now because we just don't have the time right yeah
38:09
we just don't have the time right yeah
38:10
we just don't have the time right yeah it's it's kind of like the as as I think
38:12
it's it's kind of like the as as I think
38:12
it's it's kind of like the as as I think we had a conversation build St about
38:14
we had a conversation build St about
38:14
we had a conversation build St about this SP like the the change from uh sort
38:17
this SP like the the change from uh sort
38:17
this SP like the the change from uh sort of just
38:19
of just
38:19
of just programming and like just kind of like
38:21
programming and like just kind of like
38:21
programming and like just kind of like very linearly to more of a curatorial
38:23
very linearly to more of a curatorial
38:23
very linearly to more of a curatorial role where now you have like a more
38:26
role where now you have like a more
38:26
role where now you have like a more bird's eye more raed role where the
38:30
bird's eye more raed role where the
38:30
bird's eye more raed role where the you're thinking more about the problem
38:32
you're thinking more about the problem
38:32
you're thinking more about the problem and putting the blocks together that
38:34
and putting the blocks together that
38:34
and putting the blocks together that allow you to solve it versus going
38:36
allow you to solve it versus going
38:36
allow you to solve it versus going linearly and then writing line by line
38:38
linearly and then writing line by line
38:39
linearly and then writing line by line with the pro with small solutions to
38:41
with the pro with small solutions to
38:41
with the pro with small solutions to each individual problem it's more
38:42
each individual problem it's more
38:42
each individual problem it's more abstract now and AI like with these
38:44
abstract now and AI like with these
38:44
abstract now and AI like with these large language models are going to make
38:46
large language models are going to make
38:46
large language models are going to make that much easier my only worry and
38:47
that much easier my only worry and
38:48
that much easier my only worry and actually have curious about what you
38:50
actually have curious about what you
38:50
actually have curious about what you think is how how are we going to
38:53
think is how how are we going to
38:53
think is how how are we going to maintain accountability for errors that
38:56
maintain accountability for errors that
38:56
maintain accountability for errors that the large Lang anguage model I make
38:58
the large Lang anguage model I make
38:58
the large Lang anguage model I make right so like let's say that there's
38:59
right so like let's say that there's
38:59
right so like let's say that there's some function and it's a very simple
39:01
some function and it's a very simple
39:01
some function and it's a very simple function right and you know you you can
39:03
function right and you know you you can
39:03
function right and you know you you can write it but it's gonna it's going to
39:04
write it but it's gonna it's going to
39:04
write it but it's gonna it's going to take like you be like 10 minutes so
39:06
take like you be like 10 minutes so
39:06
take like you be like 10 minutes so you're just gonna add the llm to do it
39:09
you're just gonna add the llm to do it
39:09
you're just gonna add the llm to do it okay that function you recognize it you
39:10
okay that function you recognize it you
39:10
okay that function you recognize it you played with it before you know what it's
39:12
played with it before you know what it's
39:12
played with it before you know what it's supposed to look like you do a p cursory
39:14
supposed to look like you do a p cursory
39:14
supposed to look like you do a p cursory review it's like okay great move on to
39:15
review it's like okay great move on to
39:15
review it's like okay great move on to the next thing what about like something
39:18
the next thing what about like something
39:18
the next thing what about like something a little bit more complicated yeah um if
39:20
a little bit more complicated yeah um if
39:20
a little bit more complicated yeah um if you know sometimes the worst bug is the
39:22
you know sometimes the worst bug is the
39:22
you know sometimes the worst bug is the bug that makes that that doesn't look
39:25
bug that makes that that doesn't look
39:25
bug that makes that that doesn't look like a bug because the code works right
39:27
like a bug because the code works right
39:27
like a bug because the code works right it's invisible bug and for me as a
39:29
it's invisible bug and for me as a
39:29
it's invisible bug and for me as a scientist when I do analysis and like oh
39:30
scientist when I do analysis and like oh
39:30
scientist when I do analysis and like oh the analysis work I'm seeing an effect
39:33
the analysis work I'm seeing an effect
39:33
the analysis work I'm seeing an effect right sometimes that's because the
39:35
right sometimes that's because the
39:35
right sometimes that's because the variable was off or like I included the
39:37
variable was off or like I included the
39:37
variable was off or like I included the wrong like the wrong data set it's just
39:38
wrong like the wrong data set it's just
39:38
wrong like the wrong data set it's just one variable it's one variable it could
39:41
one variable it's one variable it could
39:41
one variable it's one variable it could have been one letter being misspelled
39:42
have been one letter being misspelled
39:42
have been one letter being misspelled you know but the code works and you know
39:44
you know but the code works and you know
39:44
you know but the code works and you know you could end up publishing a paper with
39:45
you could end up publishing a paper with
39:46
you could end up publishing a paper with the wrong with the wrong Pro with the
39:47
the wrong with the wrong Pro with the
39:47
the wrong with the wrong Pro with the wrong statistics yeah yeah so how how
39:50
wrong statistics yeah yeah so how how
39:50
wrong statistics yeah yeah so how how does one correct for that having
39:51
does one correct for that having
39:51
does one correct for that having multiple AI agents kind of fighting each
39:53
multiple AI agents kind of fighting each
39:53
multiple AI agents kind of fighting each other off to find the right solution I
39:55
other off to find the right solution I
39:55
other off to find the right solution I mean yeah yeah well well you know I I
39:59
mean yeah yeah well well you know I I
39:59
mean yeah yeah well well you know I I haven't thought a lot
40:01
haven't thought a lot
40:01
haven't thought a lot about what what's going to happen in
40:04
about what what's going to happen in
40:04
about what what's going to happen in that specifically you know um I you know
40:08
that specifically you know um I you know
40:08
that specifically you know um I you know I think it's going to be a while before
40:10
I think it's going to be a while before
40:10
I think it's going to be a while before we kind of figure that out you know I I
40:12
we kind of figure that out you know I I
40:12
we kind of figure that out you know I I at least for now you know I think
40:15
at least for now you know I think
40:15
at least for now you know I think everybody should look at the AI the code
40:18
everybody should look at the AI the code
40:18
everybody should look at the AI the code that AI generates right because you know
40:21
that AI generates right because you know
40:21
that AI generates right because you know I don't try I mean as Simon knows that
40:24
I don't try I mean as Simon knows that
40:24
I don't try I mean as Simon knows that you know Chad gbt does not write great
40:26
you know Chad gbt does not write great
40:26
you know Chad gbt does not write great code right and and you know co-pilot
40:30
code right and and you know co-pilot
40:30
code right and and you know co-pilot might but even co-pilot makes mistakes
40:32
might but even co-pilot makes mistakes
40:32
might but even co-pilot makes mistakes too right and so you know we're still
40:34
too right and so you know we're still
40:34
too right and so you know we're still it's it's it's so new that I don't think
40:37
it's it's it's so new that I don't think
40:37
it's it's it's so new that I don't think we really should change our practices of
40:39
we really should change our practices of
40:39
we really should change our practices of doing like code review and you know but
40:43
doing like code review and you know but
40:43
doing like code review and you know but I can see someday in the future where
40:45
I can see someday in the future where
40:45
I can see someday in the future where we'll be doing less and less of that
40:47
we'll be doing less and less of that
40:47
we'll be doing less and less of that right because the more we trust these AI
40:50
right because the more we trust these AI
40:50
right because the more we trust these AI models to create this code the more that
40:54
models to create this code the more that
40:54
models to create this code the more that we're going to probably stop doing that
40:56
we're going to probably stop doing that
40:56
we're going to probably stop doing that right and and that's a good thing right
40:58
right and and that's a good thing right
40:58
right and and that's a good thing right is as long as there's checks and
41:00
is as long as there's checks and
41:00
is as long as there's checks and balances to make sure that you know
41:02
balances to make sure that you know
41:02
balances to make sure that you know whatever we're you know pushing to
41:04
whatever we're you know pushing to
41:04
whatever we're you know pushing to production it is is good and correct and
41:08
production it is is good and correct and
41:08
production it is is good and correct and it's not going to steal people's
41:09
it's not going to steal people's
41:09
it's not going to steal people's information or something crazy like that
41:11
information or something crazy like that
41:11
information or something crazy like that right uh so yeah it it's it's going to
41:14
right uh so yeah it it's it's going to
41:14
right uh so yeah it it's it's going to be a while I think before we figure that
41:16
be a while I think before we figure that
41:16
be a while I think before we figure that out yeah yeah it's a little difficult uh
41:18
out yeah yeah it's a little difficult uh
41:18
out yeah yeah it's a little difficult uh though I would imagine like for example
41:20
though I would imagine like for example
41:20
though I would imagine like for example in a lot of the Python libraries that I
41:23
in a lot of the Python libraries that I
41:23
in a lot of the Python libraries that I use um they have built-in functions that
41:26
use um they have built-in functions that
41:26
use um they have built-in functions that can do complicated things right
41:28
can do complicated things right
41:28
can do complicated things right regression isn't relatively that
41:30
regression isn't relatively that
41:30
regression isn't relatively that complicated but you know they've
41:31
complicated but you know they've
41:31
complicated but you know they've optimized it to like you know work
41:33
optimized it to like you know work
41:33
optimized it to like you know work quickly so you know the calculations are
41:36
quickly so you know the calculations are
41:36
quickly so you know the calculations are fast and um there's functions that allow
41:39
fast and um there's functions that allow
41:39
fast and um there's functions that allow you to do probabilistic things but it's
41:41
you to do probabilistic things but it's
41:41
you to do probabilistic things but it's closed form so it's always going to give
41:42
closed form so it's always going to give
41:42
closed form so it's always going to give you the same answer but when you're
41:44
you the same answer but when you're
41:44
you the same answer but when you're working with Transformers or you're
41:45
working with Transformers or you're
41:45
working with Transformers or you're working with like you know large
41:47
working with like you know large
41:47
working with like you know large language models you're working in
41:49
language models you're working in
41:49
language models you're working in probability space and so how can you
41:53
probability space and so how can you
41:53
probability space and so how can you ensure that things are always going to
41:55
ensure that things are always going to
41:55
ensure that things are always going to end up the same right is not that easy I
41:59
end up the same right is not that easy I
42:00
end up the same right is not that easy I mean okay fine use the same random seed
42:02
mean okay fine use the same random seed
42:02
mean okay fine use the same random seed but that for that seed that you use
42:04
but that for that seed that you use
42:04
but that for that seed that you use could be give you the wrong answer and
42:06
could be give you the wrong answer and
42:06
could be give you the wrong answer and the seed depending on how it was made
42:08
the seed depending on how it was made
42:08
the seed depending on how it was made was it like with CPU time or whatever
42:10
was it like with CPU time or whatever
42:10
was it like with CPU time or whatever you know might actually be different on
42:11
you know might actually be different on
42:11
you know might actually be different on different computers so how can you
42:13
different computers so how can you
42:13
different computers so how can you ensure um consistency is going to be a
42:17
ensure um consistency is going to be a
42:17
ensure um consistency is going to be a very difficult thing to be able to start
42:20
very difficult thing to be able to start
42:20
very difficult thing to be able to start ignoring it as a potential liability and
42:24
ignoring it as a potential liability and
42:24
ignoring it as a potential liability and just have it as a as like a you know
42:26
just have it as a as like a you know
42:26
just have it as a as like a you know close form it's we're good to go we can
42:28
close form it's we're good to go we can
42:28
close form it's we're good to go we can always use it we know it's always going
42:29
always use it we know it's always going
42:29
always use it we know it's always going to work give us what we need right yeah
42:32
to work give us what we need right yeah
42:32
to work give us what we need right yeah I don't know it's it's a tough one that
42:34
I don't know it's it's a tough one that
42:34
I don't know it's it's a tough one that one yeah well we'll see I you know I I
42:37
one yeah well we'll see I you know I I
42:37
one yeah well we'll see I you know I I didn't hear anything specifically
42:39
didn't hear anything specifically
42:39
didn't hear anything specifically wrapped around that at build this week
42:41
wrapped around that at build this week
42:41
wrapped around that at build this week uh I of course not not gonna say oh
42:44
uh I of course not not gonna say oh
42:44
uh I of course not not gonna say oh there's this glaring problem don't worry
42:48
there's this glaring problem don't worry
42:48
there's this glaring problem don't worry but you know the one thing that I do you
42:50
but you know the one thing that I do you
42:50
but you know the one thing that I do you know I I don't follow these big CEOs or
42:53
know I I don't follow these big CEOs or
42:53
know I I don't follow these big CEOs or anything but the guy who runs uh chat
42:56
anything but the guy who runs uh chat
42:56
anything but the guy who runs uh chat you know open AI right at least you know
42:59
you know open AI right at least you know
42:59
you know open AI right at least you know he's a CEO going we we need to be
43:01
he's a CEO going we we need to be
43:01
he's a CEO going we we need to be worried about this right and you know
43:04
worried about this right and you know
43:04
worried about this right and you know it's it's refreshing to hear a CEO say
43:06
it's it's refreshing to hear a CEO say
43:06
it's it's refreshing to hear a CEO say that right because most CEOs do
43:08
that right because most CEOs do
43:08
that right because most CEOs do everything to cover things up right it's
43:11
everything to cover things up right it's
43:11
everything to cover things up right it's interesting it's interesting you say
43:12
interesting it's interesting you say
43:12
interesting it's interesting you say that though because I I I've had this
43:14
that though because I I I've had this
43:14
that though because I I I've had this conversation with a few people now and
43:16
conversation with a few people now and
43:16
conversation with a few people now and some uh bring up the idea that it's like
43:19
some uh bring up the idea that it's like
43:19
some uh bring up the idea that it's like a way to control the narrative so if you
43:22
a way to control the narrative so if you
43:22
a way to control the narrative so if you get to say oh AI can be dangerous let's
43:25
get to say oh AI can be dangerous let's
43:25
get to say oh AI can be dangerous let's let's let's get together with the
43:26
let's let's get together with the
43:26
let's let's get together with the government and start making decisions
43:28
government and start making decisions
43:28
government and start making decisions well who's making the decisions it's
43:29
well who's making the decisions it's
43:29
well who's making the decisions it's going to be like the the like the big
43:31
going to be like the the like the big
43:31
going to be like the the like the big companies that have like the most market
43:32
companies that have like the most market
43:32
companies that have like the most market share and so you know do I trust them
43:36
share and so you know do I trust them
43:36
share and so you know do I trust them one should be skeptical one should be
43:38
one should be skeptical one should be
43:38
one should be skeptical one should be skeptical about like what kind of power
43:39
skeptical about like what kind of power
43:39
skeptical about like what kind of power that would would allow them to give
43:41
that would would allow them to give
43:41
that would would allow them to give right like the very well- knowledgeable
43:44
right like the very well- knowledgeable
43:44
right like the very well- knowledgeable uh CEO of a tech company versus like a
43:47
uh CEO of a tech company versus like a
43:47
uh CEO of a tech company versus like a government official that we know clearly
43:49
government official that we know clearly
43:49
government official that we know clearly doesn't really understand how these
43:51
doesn't really understand how these
43:51
doesn't really understand how these things work as we saw from like you know
43:52
things work as we saw from like you know
43:52
things work as we saw from like you know Mark Zuckerberg being asked like what is
43:54
Mark Zuckerberg being asked like what is
43:54
Mark Zuckerberg being asked like what is the internet or things like that you
43:55
the internet or things like that you
43:55
the internet or things like that you know yeah or that one politician said
43:57
know yeah or that one politician said
43:57
know yeah or that one politician said that the internet's a series of tubes
44:00
that the internet's a series of tubes
44:00
that the internet's a series of tubes right I forget who said that but I mean
44:03
right I forget who said that but I mean
44:03
right I forget who said that but I mean not entirely wrong with like you
44:05
not entirely wrong with like you
44:05
not entirely wrong with like you underwat
44:06
underwat
44:06
underwat cables but yeah it having our lawmakers
44:10
cables but yeah it having our lawmakers
44:10
cables but yeah it having our lawmakers make decisions on stuff they clearly
44:13
make decisions on stuff they clearly
44:13
make decisions on stuff they clearly don't know about you know they then they
44:15
don't know about you know they then they
44:15
don't know about you know they then they rely on these big companies and the big
44:16
rely on these big companies and the big
44:16
rely on these big companies and the big companies have their own motives right
44:18
companies have their own motives right
44:18
companies have their own motives right and and we've seen this over and over
44:20
and and we've seen this over and over
44:20
and and we've seen this over and over again with the cigarette companies and
44:22
again with the cigarette companies and
44:22
again with the cigarette companies and and stuff like that where they just you
44:24
and stuff like that where they just you
44:24
and stuff like that where they just you know they just bowl over our our are
44:27
know they just bowl over our our are
44:27
know they just bowl over our our are lawmakers because the lawmakers don't
44:29
lawmakers because the lawmakers don't
44:29
lawmakers because the lawmakers don't know what they're talking about right
44:31
know what they're talking about right
44:31
know what they're talking about right and um there's yeah there's like a
44:33
and um there's yeah there's like a
44:33
and um there's yeah there's like a website that has um uh it like tracks
44:36
website that has um uh it like tracks
44:36
website that has um uh it like tracks lobbying expend expenditure and you can
44:39
lobbying expend expenditure and you can
44:39
lobbying expend expenditure and you can see um as different Trends change you
44:42
see um as different Trends change you
44:42
see um as different Trends change you know like uh when global warming started
44:44
know like uh when global warming started
44:44
know like uh when global warming started becoming like a a thing you can see the
44:47
becoming like a a thing you can see the
44:47
becoming like a a thing you can see the lobbying you know little increasing
44:49
lobbying you know little increasing
44:49
lobbying you know little increasing lobbying uh for like you know from oil
44:51
lobbying uh for like you know from oil
44:51
lobbying uh for like you know from oil companies spending the most money oh
44:53
companies spending the most money oh
44:53
companies spending the most money oh yeah uh I think ah gosh I don't want to
44:56
yeah uh I think ah gosh I don't want to
44:56
yeah uh I think ah gosh I don't want to give false stats but uh like a recent
44:58
give false stats but uh like a recent
44:58
give false stats but uh like a recent chart that I saw um I think uh tech
45:02
chart that I saw um I think uh tech
45:02
chart that I saw um I think uh tech companies are spending more money than
45:03
companies are spending more money than
45:03
companies are spending more money than oil companies now which I think was like
45:06
oil companies now which I think was like
45:06
oil companies now which I think was like a big change on the like the expenditure
45:09
a big change on the like the expenditure
45:09
a big change on the like the expenditure for lobbyists I don't know these are
45:10
for lobbyists I don't know these are
45:10
for lobbyists I don't know these are just interesting things it's kind of
45:11
just interesting things it's kind of
45:12
just interesting things it's kind of like Google Trends you get to see how
45:14
like Google Trends you get to see how
45:14
like Google Trends you get to see how how how different fields react and the
45:18
how how different fields react and the
45:18
how how different fields react and the lobbying actually is quite significant
45:19
lobbying actually is quite significant
45:19
lobbying actually is quite significant because that those are the people that
45:21
because that those are the people that
45:21
because that those are the people that try to convince lawmakers to change
45:23
try to convince lawmakers to change
45:23
try to convince lawmakers to change decisions and things like that so right
45:25
decisions and things like that so right
45:25
decisions and things like that so right and they have their own motives right
45:27
and they have their own motives right
45:27
and they have their own motives right and it's not necessarily our you know
45:29
and it's not necessarily our you know
45:29
and it's not necessarily our you know that it's going to help us at all right
45:31
that it's going to help us at all right
45:31
that it's going to help us at all right and so I I think you know I was thinking
45:35
and so I I think you know I was thinking
45:35
and so I I think you know I was thinking when you said that that it's still up up
45:37
when you said that that it's still up up
45:37
when you said that that it's still up up to us to to make sure that they're doing
45:40
to us to to make sure that they're doing
45:40
to us to to make sure that they're doing what they should be right it's and it's
45:42
what they should be right it's and it's
45:42
what they should be right it's and it's the the unsung heroes I would say you
45:44
the the unsung heroes I would say you
45:44
the the unsung heroes I would say you know that uh know a lot more than our
45:47
know that uh know a lot more than our
45:47
know that uh know a lot more than our lawmakers and and and you know
45:49
lawmakers and and and you know
45:49
lawmakers and and and you know protesting or writing or calling or
45:51
protesting or writing or calling or
45:51
protesting or writing or calling or whatever but you know it's still up to
45:54
whatever but you know it's still up to
45:54
whatever but you know it's still up to us to make sure yeah and actually um so
45:58
us to make sure yeah and actually um so
45:58
us to make sure yeah and actually um so since I'm like uh embedded in the in
46:00
since I'm like uh embedded in the in
46:00
since I'm like uh embedded in the in like the augmented reality and virtual
46:02
like the augmented reality and virtual
46:02
like the augmented reality and virtual reality space the XR space um there's a
46:05
reality space the XR space um there's a
46:05
reality space the XR space um there's a there's a nonprofit it's the XR Guild
46:07
there's a nonprofit it's the XR Guild
46:07
there's a nonprofit it's the XR Guild and what you just said is exactly like
46:10
and what you just said is exactly like
46:10
and what you just said is exactly like the the main uh Mission which is it's
46:13
the the main uh Mission which is it's
46:13
the the main uh Mission which is it's really hard to get people from the top
46:16
really hard to get people from the top
46:16
really hard to get people from the top to change things when like the incentive
46:19
to change things when like the incentive
46:19
to change things when like the incentive structure is very difficult and it's
46:20
structure is very difficult and it's
46:20
structure is very difficult and it's very hard to get the masses to come
46:23
very hard to get the masses to come
46:23
very hard to get the masses to come together to try to enact change so the
46:26
together to try to enact change so the
46:26
together to try to enact change so the XR Guild is to get software Engineers
46:28
XR Guild is to get software Engineers
46:28
XR Guild is to get software Engineers developers everybody that works at the
46:30
developers everybody that works at the
46:30
developers everybody that works at the companies to join this Guild make a
46:33
companies to join this Guild make a
46:33
companies to join this Guild make a promise to try to be ethical about about
46:36
promise to try to be ethical about about
46:36
promise to try to be ethical about about their work and create a a community that
46:38
their work and create a a community that
46:38
their work and create a a community that helps people not feel like they're alone
46:40
helps people not feel like they're alone
46:40
helps people not feel like they're alone when like there's like a kind of cringey
46:42
when like there's like a kind of cringey
46:42
when like there's like a kind of cringey decision that's coming up they can talk
46:44
decision that's coming up they can talk
46:44
decision that's coming up they can talk to each other uh and I think like that
46:46
to each other uh and I think like that
46:46
to each other uh and I think like that might be one of the ways forward right
46:48
might be one of the ways forward right
46:48
might be one of the ways forward right if we can't get the top and we can't get
46:50
if we can't get the top and we can't get
46:50
if we can't get the top and we can't get the bottom Let's Start Spreading from
46:52
the bottom Let's Start Spreading from
46:52
the bottom Let's Start Spreading from the middle right right and so if yeah so
46:54
the middle right right and so if yeah so
46:54
the middle right right and so if yeah so if anybody's listening here is
46:55
if anybody's listening here is
46:55
if anybody's listening here is interested you guys should check out our
46:57
interested you guys should check out our
46:57
interested you guys should check out our Guild it's a really great nonprofit with
46:59
Guild it's a really great nonprofit with
46:59
Guild it's a really great nonprofit with great with a great Mission yeah yeah so
47:02
great with a great Mission yeah yeah so
47:02
great with a great Mission yeah yeah so uh it's always up to us but you know
47:04
uh it's always up to us but you know
47:04
uh it's always up to us but you know we're running out of time already I
47:05
we're running out of time already I
47:06
we're running out of time already I can't believe it wow that's crazy I know
47:08
can't believe it wow that's crazy I know
47:08
can't believe it wow that's crazy I know I know the these shows go by way too
47:11
I know the these shows go by way too
47:11
I know the these shows go by way too fast for me at least uh but so you know
47:15
fast for me at least uh but so you know
47:15
fast for me at least uh but so you know before I let you go what are you know
47:17
before I let you go what are you know
47:17
before I let you go what are you know what what do you see coming out you know
47:19
what what do you see coming out you know
47:19
what what do you see coming out you know that at least tech people are going to
47:22
that at least tech people are going to
47:22
that at least tech people are going to be interested in from AI in the next you
47:25
be interested in from AI in the next you
47:25
be interested in from AI in the next you know in the near future next couple
47:26
know in the near future next couple
47:26
know in the near future next couple years at
47:28
years at
47:28
years at least that's uh you're asking me to
47:30
least that's uh you're asking me to
47:30
least that's uh you're asking me to predict something incredibly incredibly
47:33
predict something incredibly incredibly
47:33
predict something incredibly incredibly difficult I think one thing is one thing
47:37
difficult I think one thing is one thing
47:37
difficult I think one thing is one thing is probably going to be certain within
47:38
is probably going to be certain within
47:38
is probably going to be certain within the next at least two years or three
47:40
the next at least two years or three
47:40
the next at least two years or three years you know so like our entire lives
47:43
years you know so like our entire lives
47:43
years you know so like our entire lives like we have been augmenting ourselves
47:45
like we have been augmenting ourselves
47:45
like we have been augmenting ourselves right like human or not not like the
47:47
right like human or not not like the
47:47
right like human or not not like the human entire existence right we went
47:49
human entire existence right we went
47:49
human entire existence right we went from like sharpening stones to then like
47:52
from like sharpening stones to then like
47:52
from like sharpening stones to then like having to create shelters to weather
47:54
having to create shelters to weather
47:54
having to create shelters to weather different weather conditions uh we
47:56
different weather conditions uh we
47:56
different weather conditions uh we always augment ourselves and it's part
47:58
always augment ourselves and it's part
47:58
always augment ourselves and it's part of evolution in a way right uh we might
48:00
of evolution in a way right uh we might
48:00
of evolution in a way right uh we might our
48:01
our
48:01
our biological you know you know changes
48:03
biological you know you know changes
48:03
biological you know you know changes might be a little bit slower but since
48:05
might be a little bit slower but since
48:05
might be a little bit slower but since that we we have like such an amazing
48:07
that we we have like such an amazing
48:07
that we we have like such an amazing mind we've been able to use technology
48:09
mind we've been able to use technology
48:09
mind we've been able to use technology as tools yeah um and so for example like
48:12
as tools yeah um and so for example like
48:12
as tools yeah um and so for example like our phones they're like they're an
48:14
our phones they're like they're an
48:15
our phones they're like they're an augmentation that is part of our body
48:17
augmentation that is part of our body
48:17
augmentation that is part of our body now I mean like at least I don't leave
48:20
now I mean like at least I don't leave
48:20
now I mean like at least I don't leave the house without a phone and sometimes
48:22
the house without a phone and sometimes
48:22
the house without a phone and sometimes I have to force myself to do so to just
48:24
I have to force myself to do so to just
48:24
I have to force myself to do so to just unplug um I feel naked I feel
48:28
I'm missing something what is it and oh
48:31
I'm missing something what is it and oh
48:31
I'm missing something what is it and oh my phone I got to go back you know yeah
48:33
my phone I got to go back you know yeah
48:33
my phone I got to go back you know yeah heaven forbid I leave the house without
48:35
heaven forbid I leave the house without
48:35
heaven forbid I leave the house without a phone you know yeah exactly and you
48:38
a phone you know yeah exactly and you
48:38
a phone you know yeah exactly and you know for me for example like as someone
48:41
know for me for example like as someone
48:41
know for me for example like as someone that studies space and context uh I have
48:44
that studies space and context uh I have
48:44
that studies space and context uh I have completely outsourced my spatial
48:46
completely outsourced my spatial
48:46
completely outsourced my spatial navigation to Google Maps I you know I
48:49
navigation to Google Maps I you know I
48:49
navigation to Google Maps I you know I don't need to know how to get from point
48:51
don't need to know how to get from point
48:51
don't need to know how to get from point A to point B anymore I just need to know
48:53
A to point B anymore I just need to know
48:53
A to point B anymore I just need to know what tool I can use to get there to get
48:56
what tool I can use to get there to get
48:56
what tool I can use to get there to get there yeah so uh in the same way that uh
48:59
there yeah so uh in the same way that uh
48:59
there yeah so uh in the same way that uh Google Maps or any map kind of uh like
49:02
Google Maps or any map kind of uh like
49:02
Google Maps or any map kind of uh like imaps or whatever has become like a very
49:04
imaps or whatever has become like a very
49:04
imaps or whatever has become like a very normal part of our day-to-day from like
49:06
normal part of our day-to-day from like
49:06
normal part of our day-to-day from like navigating from like here to the
49:08
navigating from like here to the
49:08
navigating from like here to the supermarket or or like to a friend's
49:10
supermarket or or like to a friend's
49:10
supermarket or or like to a friend's house or whatever I feel like the same
49:13
house or whatever I feel like the same
49:13
house or whatever I feel like the same way that we say oh I can't imagine not
49:15
way that we say oh I can't imagine not
49:15
way that we say oh I can't imagine not having my phone on me oh I can't imagine
49:17
having my phone on me oh I can't imagine
49:17
having my phone on me oh I can't imagine not having Google Maps people are gonna
49:18
not having Google Maps people are gonna
49:18
not having Google Maps people are gonna say I can't imagine having not having my
49:21
say I can't imagine having not having my
49:21
say I can't imagine having not having my personal AI yeah and I think um that's
49:24
personal AI yeah and I think um that's
49:24
personal AI yeah and I think um that's going to happen sooner and that's
49:26
going to happen sooner and that's
49:26
going to happen sooner and that's probably like the only prediction that
49:27
probably like the only prediction that
49:27
probably like the only prediction that I'm very comfortable like making um uh
49:31
I'm very comfortable like making um uh
49:31
I'm very comfortable like making um uh outside of
49:33
outside of
49:33
outside of potential there's yeah there's a the the
49:36
potential there's yeah there's a the the
49:36
potential there's yeah there's a the the ethical and sort of legal ramifications
49:39
ethical and sort of legal ramifications
49:40
ethical and sort of legal ramifications of the training data uh that's used for
49:43
of the training data uh that's used for
49:43
of the training data uh that's used for a lot of the the AI that is like
49:45
a lot of the the AI that is like
49:45
a lot of the the AI that is like becoming very commonplace is kind of
49:47
becoming very commonplace is kind of
49:47
becoming very commonplace is kind of still quite nebulous so I can't really
49:50
still quite nebulous so I can't really
49:50
still quite nebulous so I can't really make a prediction about that either
49:54
make a prediction about that either
49:54
make a prediction about that either um yeah I mean like you know there's so
49:56
um yeah I mean like you know there's so
49:56
um yeah I mean like you know there's so many changes that happen all the time
49:58
many changes that happen all the time
49:58
many changes that happen all the time you know there's I was talking I was
49:59
you know there's I was talking I was
49:59
you know there's I was talking I was like a this entrepreneurial event
50:01
like a this entrepreneurial event
50:01
like a this entrepreneurial event yesterday and I was talking to someone
50:02
yesterday and I was talking to someone
50:02
yesterday and I was talking to someone that was involved in a virtual reality
50:03
that was involved in a virtual reality
50:03
that was involved in a virtual reality company in the 90s and um in that
50:07
company in the 90s and um in that
50:07
company in the 90s and um in that conversation I was and like he said oh
50:09
conversation I was and like he said oh
50:09
conversation I was and like he said oh yeah and like we we lost the funding you
50:11
yeah and like we we lost the funding you
50:11
yeah and like we we lost the funding you know all of a sudden it just disappeared
50:13
know all of a sudden it just disappeared
50:13
know all of a sudden it just disappeared and then I remember a different
50:14
and then I remember a different
50:14
and then I remember a different conversation when I had another uh
50:16
conversation when I had another uh
50:16
conversation when I had another uh Pioneer in VR in the in the N mid early
50:19
Pioneer in VR in the in the N mid early
50:19
Pioneer in VR in the in the N mid early 1990s and he gave a great Insight which
50:21
1990s and he gave a great Insight which
50:21
1990s and he gave a great Insight which was that one of the reasons why VR
50:23
was that one of the reasons why VR
50:23
was that one of the reasons why VR didn't make it in like the 90s because
50:25
didn't make it in like the 90s because
50:25
didn't make it in like the 90s because right now you know VR didn't come back
50:27
right now you know VR didn't come back
50:27
right now you know VR didn't come back until Oculus in 2012 and 2014 and then
50:30
until Oculus in 2012 and 2014 and then
50:30
until Oculus in 2012 and 2014 and then bought by meta Facebook at the time um
50:33
bought by meta Facebook at the time um
50:33
bought by meta Facebook at the time um one of the theories was like it was a
50:34
one of the theories was like it was a
50:34
one of the theories was like it was a doom boom all the money went to building
50:38
doom boom all the money went to building
50:38
doom boom all the money went to building websites and that yeah the internet
50:40
websites and that yeah the internet
50:40
websites and that yeah the internet right and so like VR was like oh okay
50:42
right and so like VR was like oh okay
50:42
right and so like VR was like oh okay yeah that's that's cool but like yeah
50:44
yeah that's that's cool but like yeah
50:44
yeah that's that's cool but like yeah the internet right and then you know
50:46
the internet right and then you know
50:46
the internet right and then you know later on we had crypto come in and then
50:49
later on we had crypto come in and then
50:49
later on we had crypto come in and then that kind of like took money away from
50:50
that kind of like took money away from
50:50
that kind of like took money away from all these other great inventions and
50:52
all these other great inventions and
50:52
all these other great inventions and ideas and now we have the AI boom right
50:54
ideas and now we have the AI boom right
50:54
ideas and now we have the AI boom right now yeah um which then now VC companies
50:57
now yeah um which then now VC companies
50:57
now yeah um which then now VC companies like stopped investing in AI because it
50:59
like stopped investing in AI because it
50:59
like stopped investing in AI because it was like okay this is just another hype
51:00
was like okay this is just another hype
51:00
was like okay this is just another hype cycle just like we Mis got misled and
51:03
cycle just like we Mis got misled and
51:03
cycle just like we Mis got misled and unfortunately invested in too much
51:04
unfortunately invested in too much
51:04
unfortunately invested in too much crypto uh and
51:06
crypto uh and
51:06
crypto uh and so how the trend unfolds in these hype
51:09
so how the trend unfolds in these hype
51:09
so how the trend unfolds in these hype Cycles is is is kind of confusing so
51:13
Cycles is is is kind of confusing so
51:13
Cycles is is is kind of confusing so yeah yeah that's all I can say about
51:15
yeah yeah that's all I can say about
51:15
yeah yeah that's all I can say about prediction it's like you said it's
51:16
prediction it's like you said it's
51:16
prediction it's like you said it's buzzwords people just care about the
51:17
buzzwords people just care about the
51:17
buzzwords people just care about the buzzwords most of the time but you know
51:20
buzzwords most of the time but you know
51:20
buzzwords most of the time but you know the one thing that I at least want to
51:22
the one thing that I at least want to
51:22
the one thing that I at least want to finish with in in this discussion is
51:24
finish with in in this discussion is
51:24
finish with in in this discussion is that you know uh because we didn't
51:27
that you know uh because we didn't
51:27
that you know uh because we didn't prepare ourselves very well you know
51:29
prepare ourselves very well you know
51:29
prepare ourselves very well you know when uh for this when cell phones and
51:31
when uh for this when cell phones and
51:31
when uh for this when cell phones and social media you know uh emerged but you
51:35
social media you know uh emerged but you
51:35
social media you know uh emerged but you know I and I already see problems with
51:38
know I and I already see problems with
51:38
know I and I already see problems with AI but I hope that you know we find a
51:41
AI but I hope that you know we find a
51:41
AI but I hope that you know we find a way to make use AI to make us more
51:44
way to make use AI to make us more
51:44
way to make use AI to make us more connected not less connected right it
51:47
connected not less connected right it
51:47
connected not less connected right it because all these things to me you know
51:49
because all these things to me you know
51:49
because all these things to me you know and have made
51:51
and have made
51:51
and have made us connected in a way because we can see
51:54
us connected in a way because we can see
51:54
us connected in a way because we can see everything happening in the world but
51:55
everything happening in the world but
51:55
everything happening in the world but it's also made us
51:57
it's also made us
51:57
it's also made us a lot more disconnected right and and I
52:00
a lot more disconnected right and and I
52:00
a lot more disconnected right and and I see things on the news all the time
52:02
see things on the news all the time
52:02
see things on the news all the time where young people including teenagers
52:04
where young people including teenagers
52:04
where young people including teenagers have a hard time connecting with people
52:06
have a hard time connecting with people
52:06
have a hard time connecting with people you know they have a hard time talking
52:08
you know they have a hard time talking
52:08
you know they have a hard time talking to people or you know interacting you
52:11
to people or you know interacting you
52:11
to people or you know interacting you know in in social situations and and and
52:15
know in in social situations and and and
52:15
know in in social situations and and and and this kind of parlays into you know
52:17
and this kind of parlays into you know
52:17
and this kind of parlays into you know the big news in America the last couple
52:20
the big news in America the last couple
52:20
the big news in America the last couple days where Scarlet Johansson is is
52:23
days where Scarlet Johansson is is
52:23
days where Scarlet Johansson is is trying to sue open AI because their new
52:26
trying to sue open AI because their new
52:26
trying to sue open AI because their new AI assistant sounds like her from the
52:28
AI assistant sounds like her from the
52:28
AI assistant sounds like her from the movie her you know I I I literally uh in
52:32
movie her you know I I I literally uh in
52:32
movie her you know I I I literally uh in one of the videos that I made I
52:33
one of the videos that I made I
52:33
one of the videos that I made I predicted this situation I made an
52:35
predicted this situation I made an
52:35
predicted this situation I made an analogy that Taylor Swift if Taylor
52:37
analogy that Taylor Swift if Taylor
52:37
analogy that Taylor Swift if Taylor Swift wanted to opt out of her music
52:39
Swift wanted to opt out of her music
52:39
Swift wanted to opt out of her music being used in the training data for an
52:40
being used in the training data for an
52:40
being used in the training data for an AI that doesn't mean that there's not
52:42
AI that doesn't mean that there's not
52:42
AI that doesn't mean that there's not gonna there's like thousands of other
52:44
gonna there's like thousands of other
52:44
gonna there's like thousands of other artists that sound a little bit like
52:45
artists that sound a little bit like
52:45
artists that sound a little bit like Taylor Swift so if you cue for a Taylor
52:47
Taylor Swift so if you cue for a Taylor
52:47
Taylor Swift so if you cue for a Taylor Swift type song you'd still get
52:49
Swift type song you'd still get
52:49
Swift type song you'd still get something that's like Taylor Swift even
52:51
something that's like Taylor Swift even
52:51
something that's like Taylor Swift even though tlor is not in the training data
52:52
though tlor is not in the training data
52:52
though tlor is not in the training data set something similar happened with
52:53
set something similar happened with
52:53
set something similar happened with Scarlet Johansson although like you know
52:55
Scarlet Johansson although like you know
52:55
Scarlet Johansson although like you know it's a little bit nebulous exactly why
52:56
it's a little bit nebulous exactly why
52:56
it's a little bit nebulous exactly why happened given that she got like
52:57
happened given that she got like
52:57
happened given that she got like supposedly like a an invite to opt in
53:01
supposedly like a an invite to opt in
53:01
supposedly like a an invite to opt in again three days before they launched so
53:03
again three days before they launched so
53:03
again three days before they launched so I don't know and another thing I was
53:04
I don't know and another thing I was
53:04
I don't know and another thing I was gonna say um when you talked about like
53:06
gonna say um when you talked about like
53:06
gonna say um when you talked about like uh uh how like technology brings us
53:08
uh uh how like technology brings us
53:08
uh uh how like technology brings us together but at the same time it doesn't
53:10
together but at the same time it doesn't
53:10
together but at the same time it doesn't uh there's like a really great book by
53:11
uh there's like a really great book by
53:11
uh there's like a really great book by Sher turl called Alone Together which
53:13
Sher turl called Alone Together which
53:13
Sher turl called Alone Together which talks exactly about that the the
53:15
talks exactly about that the the
53:15
talks exactly about that the the situation where we're all in the bus
53:17
situation where we're all in the bus
53:17
situation where we're all in the bus we're all in the bus together but we're
53:19
we're all in the bus together but we're
53:19
we're all in the bus together but we're all on our phones right right we're all
53:21
all on our phones right right we're all
53:21
all on our phones right right we're all at the birthday party but we're all on
53:23
at the birthday party but we're all on
53:23
at the birthday party but we're all on our phones um yeah so yeah I totally
53:27
our phones um yeah so yeah I totally
53:27
our phones um yeah so yeah I totally agreee with that yeah you're right it's
53:28
agreee with that yeah you're right it's
53:28
agreee with that yeah you're right it's it's like you know I you know my patio
53:32
it's like you know I you know my patio
53:32
it's like you know I you know my patio um I have a a a decent siiz patio and I
53:35
um I have a a a decent siiz patio and I
53:35
um I have a a a decent siiz patio and I can sometimes I go out there to read a
53:37
can sometimes I go out there to read a
53:37
can sometimes I go out there to read a book during lunch and I watch all these
53:39
book during lunch and I watch all these
53:39
book during lunch and I watch all these work people walking by because there's
53:41
work people walking by because there's
53:41
work people walking by because there's some businesses around me and almost
53:45
some businesses around me and almost
53:45
some businesses around me and almost every single person is on their cell
53:46
every single person is on their cell
53:46
every single person is on their cell phone right and even you know the last
53:49
phone right and even you know the last
53:49
phone right and even you know the last two and a half weeks unless you follow
53:51
two and a half weeks unless you follow
53:51
two and a half weeks unless you follow my Twitter you probably don't know this
53:53
my Twitter you probably don't know this
53:53
my Twitter you probably don't know this but I've been watching my neighbor's dog
53:55
but I've been watching my neighbor's dog
53:55
but I've been watching my neighbor's dog he's sitting right next to me right
53:56
he's sitting right next to me right
53:56
he's sitting right next to me right right now and and uh and I've been
53:58
right now and and uh and I've been
53:59
right now and and uh and I've been walking him you know six times a day and
54:01
walking him you know six times a day and
54:01
walking him you know six times a day and and going outside more than I normally
54:03
and going outside more than I normally
54:03
and going outside more than I normally do and that's great even people walking
54:05
do and that's great even people walking
54:05
do and that's great even people walking their dogs are on their phone I'm going
54:07
their dogs are on their phone I'm going
54:07
their dogs are on their phone I'm going really you can't spend 10 minutes off
54:10
really you can't spend 10 minutes off
54:10
really you can't spend 10 minutes off your phone and walk your dog and enjoy
54:12
your phone and walk your dog and enjoy
54:12
your phone and walk your dog and enjoy nature for a change you know it's I've
54:14
nature for a change you know it's I've
54:14
nature for a change you know it's I've been on my phone the entire this entire
54:16
been on my phone the entire this entire
54:16
been on my phone the entire this entire interview just kidding
54:18
interview just kidding
54:18
interview just kidding yeah you know it's yeah it's put down
54:20
yeah you know it's yeah it's put down
54:20
yeah you know it's yeah it's put down the phone you know enjoy life a little
54:22
the phone you know enjoy life a little
54:22
the phone you know enjoy life a little more it's like you know a lot of uh uh
54:26
more it's like you know a lot of uh uh
54:26
more it's like you know a lot of uh uh artists at concerts get upset when
54:28
artists at concerts get upset when
54:28
artists at concerts get upset when people use their cell phones you know
54:30
people use their cell phones you know
54:30
people use their cell phones you know part of it is you know the the int you
54:33
part of it is you know the the int you
54:33
part of it is you know the the int you know the the photo writes and everything
54:36
know the the photo writes and everything
54:36
know the the photo writes and everything but another part is artist wants you to
54:38
but another part is artist wants you to
54:38
but another part is artist wants you to watch the show right and being a
54:41
watch the show right and being a
54:41
watch the show right and being a photographer I can tell you when you're
54:43
photographer I can tell you when you're
54:43
photographer I can tell you when you're looking at it through a screen you're
54:45
looking at it through a screen you're
54:45
looking at it through a screen you're not enjoying the show right because when
54:47
not enjoying the show right because when
54:47
not enjoying the show right because when you know e even though I get to go to a
54:49
you know e even though I get to go to a
54:49
you know e even though I get to go to a lot of concerts for free now I generally
54:52
lot of concerts for free now I generally
54:53
lot of concerts for free now I generally don't enjoy them very much right until I
54:55
don't enjoy them very much right until I
54:55
don't enjoy them very much right until I put down the phone right I mean I'm
54:58
put down the phone right I mean I'm
54:58
put down the phone right I mean I'm sorry my camera right is because I
55:01
sorry my camera right is because I
55:01
sorry my camera right is because I understand yeah yeah I know everybody
55:03
understand yeah yeah I know everybody
55:03
understand yeah yeah I know everybody wants pictures and I know everybody
55:05
wants pictures and I know everybody
55:05
wants pictures and I know everybody wants videos and but I yeah as as a
55:08
wants videos and but I yeah as as a
55:09
wants videos and but I yeah as as a filmmaker I totally understand I used to
55:10
filmmaker I totally understand I used to
55:10
filmmaker I totally understand I used to film everything and then I realized I'm
55:12
film everything and then I realized I'm
55:12
film everything and then I realized I'm not being present because I'm trying to
55:14
not being present because I'm trying to
55:14
not being present because I'm trying to shot and yeah I started like I'm I'm
55:17
shot and yeah I started like I'm I'm
55:17
shot and yeah I started like I'm I'm gonna have to sacrifice some shots
55:20
gonna have to sacrifice some shots
55:20
gonna have to sacrifice some shots because I want to enjoy it and I'm GNA
55:21
because I want to enjoy it and I'm GNA
55:21
because I want to enjoy it and I'm GNA be selfish that way yeah well I I
55:24
be selfish that way yeah well I I
55:24
be selfish that way yeah well I I remember one time uh it just happened to
55:26
remember one time uh it just happened to
55:26
remember one time uh it just happened to be around my birthday a number of years
55:28
be around my birthday a number of years
55:28
be around my birthday a number of years ago and one of the Bands I do
55:30
ago and one of the Bands I do
55:30
ago and one of the Bands I do photography for they were there from LA
55:32
photography for they were there from LA
55:32
photography for they were there from LA and they were down here uh playing at
55:34
and they were down here uh playing at
55:34
and they were down here uh playing at this venue close to me and uh and I said
55:37
this venue close to me and uh and I said
55:37
this venue close to me and uh and I said do you want me to do photos and they go
55:38
do you want me to do photos and they go
55:38
do you want me to do photos and they go no just come and enjoy the
55:41
no just come and enjoy the
55:41
no just come and enjoy the show and I go okay I'm good with that
55:44
show and I go okay I'm good with that
55:44
show and I go okay I'm good with that right I'm in I'm in Count Me In yeah
55:47
right I'm in I'm in Count Me In yeah
55:47
right I'm in I'm in Count Me In yeah because that's that's that's the hard
55:49
because that's that's that's the hard
55:49
because that's that's that's the hard thing to do so it and it it depends at
55:52
thing to do so it and it it depends at
55:52
thing to do so it and it it depends at least doing photography for bands it
55:54
least doing photography for bands it
55:54
least doing photography for bands it depends the venue but you know some
55:56
depends the venue but you know some
55:56
depends the venue but you know some venues have a hard cut off at three
55:58
venues have a hard cut off at three
55:58
venues have a hard cut off at three songs that you know you can only do
56:00
songs that you know you can only do
56:00
songs that you know you can only do photography the first three songs and
56:02
photography the first three songs and
56:02
photography the first three songs and that's it right like the House of Blues
56:04
that's it right like the House of Blues
56:04
that's it right like the House of Blues is like that they they make me sign a
56:06
is like that they they make me sign a
56:06
is like that they they make me sign a piece of paper saying that I'm going to
56:08
piece of paper saying that I'm going to
56:08
piece of paper saying that I'm going to do that right and uh so they have some
56:11
do that right and uh so they have some
56:11
do that right and uh so they have some hard cut offs but there's other venues
56:14
hard cut offs but there's other venues
56:14
hard cut offs but there's other venues here in San Diego where I could stay
56:15
here in San Diego where I could stay
56:15
here in San Diego where I could stay there the whole time right and and even
56:18
there the whole time right and and even
56:18
there the whole time right and and even sometimes at the House of Blues
56:19
sometimes at the House of Blues
56:19
sometimes at the House of Blues depending on the security guards and uh
56:23
depending on the security guards and uh
56:23
depending on the security guards and uh so uh and so yeah it's so I do kind of I
56:27
so uh and so yeah it's so I do kind of I
56:27
so uh and so yeah it's so I do kind of I don't like stopping after the first
56:29
don't like stopping after the first
56:29
don't like stopping after the first three songs but it does help me enjoy
56:31
three songs but it does help me enjoy
56:31
three songs but it does help me enjoy the show more right yeah having rules
56:33
the show more right yeah having rules
56:33
the show more right yeah having rules sometimes helps yeah but the biggest
56:35
sometimes helps yeah but the biggest
56:35
sometimes helps yeah but the biggest thing I don't like stopping after the
56:37
thing I don't like stopping after the
56:37
thing I don't like stopping after the first three songs is generally I don't
56:39
first three songs is generally I don't
56:39
first three songs is generally I don't want to do the first three songs right
56:41
want to do the first three songs right
56:41
want to do the first three songs right because that's when the band is warming
56:43
because that's when the band is warming
56:43
because that's when the band is warming up right I want the band warmed up and
56:46
up right I want the band warmed up and
56:46
up right I want the band warmed up and sweating and you know all that kind of
56:48
sweating and you know all that kind of
56:48
sweating and you know all that kind of stuff and you can't get that in the
56:50
stuff and you can't get that in the
56:50
stuff and you can't get that in the first three songs most time true when
56:53
first three songs most time true when
56:53
first three songs most time true when they're sweating then there's like
56:54
they're sweating then there's like
56:54
they're sweating then there's like Reflections on their skin and it's a
56:56
Reflections on their skin and it's a
56:56
Reflections on their skin and it's a little bit more oh yeah yeah yeah I I I
56:59
little bit more oh yeah yeah yeah I I I
56:59
little bit more oh yeah yeah yeah I I I enjoy the last three songs the best
57:01
enjoy the last three songs the best
57:01
enjoy the last three songs the best right because that's when they're you
57:03
right because that's when they're you
57:03
right because that's when they're you know they're they're sweating they're
57:06
know they're they're sweating they're
57:06
know they're they're sweating they're they're they're a little bit tired you
57:08
they're they're a little bit tired you
57:08
they're they're a little bit tired you know the you know they know the end is
57:09
know the you know they know the end is
57:09
know the you know they know the end is coming but that's usually when they put
57:12
coming but that's usually when they put
57:12
coming but that's usually when they put on their best stuff is right at the end
57:14
on their best stuff is right at the end
57:15
on their best stuff is right at the end because they want you to remember them
57:16
because they want you to remember them
57:16
because they want you to remember them right the Sprint on the on the last mile
57:19
right the Sprint on the on the last mile
57:19
right the Sprint on the on the last mile yeah yeah yeah yeah it's so anyway I
57:22
yeah yeah yeah yeah it's so anyway I
57:22
yeah yeah yeah yeah it's so anyway I gota let you go cuz Simon uh probably
57:24
gota let you go cuz Simon uh probably
57:24
gota let you go cuz Simon uh probably wants to go out and party or something
57:26
wants to go out and party or something
57:26
wants to go out and party or something and uh and we know it's late there and
57:29
and uh and we know it's late there and
57:29
and uh and we know it's late there and so I uh uh I really enjoyed you being on
57:32
so I uh uh I really enjoyed you being on
57:32
so I uh uh I really enjoyed you being on the show I hope you have on again I hope
57:35
the show I hope you have on again I hope
57:35
the show I hope you have on again I hope to you know be in the same city with you
57:37
to you know be in the same city with you
57:37
to you know be in the same city with you sometime so we can speak at the same
57:38
sometime so we can speak at the same
57:38
sometime so we can speak at the same event that'd be great um but um we've
57:42
event that'd be great um but um we've
57:42
event that'd be great um but um we've talked a lot about stuff you do but you
57:44
talked a lot about stuff you do but you
57:44
talked a lot about stuff you do but you know the one song that I one song the
57:47
know the one song that I one song the
57:47
know the one song that I one song the one question I I I asked I know one
57:50
one question I I I asked I know one
57:50
one question I I I asked I know one question I asked everybody at the end is
57:52
question I asked everybody at the end is
57:52
question I asked everybody at the end is what do you do for fun so when you're
57:53
what do you do for fun so when you're
57:53
what do you do for fun so when you're not thinking about Ai and the brain and
57:56
not thinking about Ai and the brain and
57:56
not thinking about Ai and the brain and things like that what do you like to do
57:57
things like that what do you like to do
57:57
things like that what do you like to do for fun you know like I think I've been
58:00
for fun you know like I think I've been
58:00
for fun you know like I think I've been able to reach a point where like all the
58:02
able to reach a point where like all the
58:02
able to reach a point where like all the side projects that I do are my fun so
58:06
side projects that I do are my fun so
58:06
side projects that I do are my fun so you know if it's like making a a video
58:09
you know if it's like making a a video
58:09
you know if it's like making a a video about the future of robot rights or um
58:12
about the future of robot rights or um
58:12
about the future of robot rights or um you know learning about interviewing
58:14
you know learning about interviewing
58:14
you know learning about interviewing people about their AI companions or um
58:18
people about their AI companions or um
58:18
people about their AI companions or um making music for for like one of the
58:20
making music for for like one of the
58:20
making music for for like one of the videos that I'm doing I try to optimize
58:22
videos that I'm doing I try to optimize
58:22
videos that I'm doing I try to optimize it so it's all together so if I'm making
58:23
it so it's all together so if I'm making
58:23
it so it's all together so if I'm making a video I love making music but I never
58:25
a video I love making music but I never
58:25
a video I love making music but I never have time time to sometimes I go I
58:27
have time time to sometimes I go I
58:27
have time time to sometimes I go I sometimes I do jam with friends which is
58:29
sometimes I do jam with friends which is
58:29
sometimes I do jam with friends which is like the best just no thinking just like
58:31
like the best just no thinking just like
58:31
like the best just no thinking just like straight up jamming we can suck we
58:34
straight up jamming we can suck we
58:34
straight up jamming we can suck we doesn't matter we're just there to have
58:36
doesn't matter we're just there to have
58:36
doesn't matter we're just there to have yeah fun yeah yeah but when I don't have
58:39
yeah fun yeah yeah but when I don't have
58:39
yeah fun yeah yeah but when I don't have those moments and like I'm craving music
58:40
those moments and like I'm craving music
58:41
those moments and like I'm craving music making then like go oh you know what
58:42
making then like go oh you know what
58:42
making then like go oh you know what I'll just like make a little tune for
58:44
I'll just like make a little tune for
58:44
I'll just like make a little tune for like a little section in this video that
58:45
like a little section in this video that
58:45
like a little section in this video that I'm working on and then so I try to find
58:48
I'm working on and then so I try to find
58:48
I'm working on and then so I try to find the fun in like in ways that like come
58:50
the fun in like in ways that like come
58:50
the fun in like in ways that like come together with all the other things that
58:51
together with all the other things that
58:51
together with all the other things that I do yeah I know it's it's it's it's not
58:54
I do yeah I know it's it's it's it's not
58:54
I do yeah I know it's it's it's it's not me trying to work all the time although
58:56
me trying to work all the time although
58:56
me trying to work all the time although it sometimes might feels like it
58:59
it sometimes might feels like it
58:59
it sometimes might feels like it sometimes yeah but it is truly fun so it
59:03
sometimes yeah but it is truly fun so it
59:03
sometimes yeah but it is truly fun so it would be like music oh and and sometimes
59:05
would be like music oh and and sometimes
59:05
would be like music oh and and sometimes what actually one of my favorite things
59:06
what actually one of my favorite things
59:06
what actually one of my favorite things to do for fun is uh binge watching
59:09
to do for fun is uh binge watching
59:09
to do for fun is uh binge watching movies or TV shows um it starts not as
59:12
movies or TV shows um it starts not as
59:12
movies or TV shows um it starts not as binging it starts as like I'm only gonna
59:14
binging it starts as like I'm only gonna
59:14
binging it starts as like I'm only gonna watch one but then like they make the
59:16
watch one but then like they make the
59:16
watch one but then like they make the show so addictive
59:18
show so addictive
59:18
show so addictive now that it's like okay I guess I can
59:20
now that it's like okay I guess I can
59:20
now that it's like okay I guess I can save for another one and before I know
59:21
save for another one and before I know
59:21
save for another one and before I know it I'm curled up with a blanket and I
59:23
it I'm curled up with a blanket and I
59:23
it I'm curled up with a blanket and I fallen asleep after watch
59:26
fallen asleep after watch
59:26
fallen asleep after watch I I had to work a long time to to get
59:29
I I had to work a long time to to get
59:29
I I had to work a long time to to get myself to stop doing that because
59:31
myself to stop doing that because
59:31
myself to stop doing that because sometimes I would watch like a whole
59:33
sometimes I would watch like a whole
59:33
sometimes I would watch like a whole whole series in like a couple days right
59:35
whole series in like a couple days right
59:35
whole series in like a couple days right I so diff it's so difficult because then
59:37
I so diff it's so difficult because then
59:38
I so diff it's so difficult because then you have to wait another year and then
59:40
you have to wait another year and then
59:40
you have to wait another year and then when it comes out the next year you've
59:41
when it comes out the next year you've
59:41
when it comes out the next year you've forgotten the whole thing because you
59:42
forgotten the whole thing because you
59:42
forgotten the whole thing because you watch it too quick and you know oh gosh
59:45
watch it too quick and you know oh gosh
59:45
watch it too quick and you know oh gosh it's like so difficult resisting that
59:47
it's like so difficult resisting that
59:47
it's like so difficult resisting that temptation is like once I've sat down
59:50
temptation is like once I've sat down
59:50
temptation is like once I've sat down I'm like I the gods have taken me I have
59:52
I'm like I the gods have taken me I have
59:52
I'm like I the gods have taken me I have surrender yeah yeah yeah it's it's it's
59:55
surrender yeah yeah yeah it's it's it's
59:55
surrender yeah yeah yeah it's it's it's tough I know it well I hope you have a
59:57
tough I know it well I hope you have a
59:57
tough I know it well I hope you have a great rest of the weekend I hope the
59:59
great rest of the weekend I hope the
59:59
great rest of the weekend I hope the weather is good for you uh back there
1:00:01
weather is good for you uh back there
1:00:01
weather is good for you uh back there back east and uh oh it's fantastic yeah
1:00:04
back east and uh oh it's fantastic yeah
1:00:04
back east and uh oh it's fantastic yeah it's supposed to be nice on Memorial Day
1:00:06
it's supposed to be nice on Memorial Day
1:00:06
it's supposed to be nice on Memorial Day here so uh I think people will be happy
1:00:08
here so uh I think people will be happy
1:00:08
here so uh I think people will be happy but uh today and tomorrow is going to be
1:00:10
but uh today and tomorrow is going to be
1:00:10
but uh today and tomorrow is going to be kind of cruddy but otherwise but what it
1:00:13
kind of cruddy but otherwise but what it
1:00:13
kind of cruddy but otherwise but what it is you know but have a great uh rest of
1:00:16
is you know but have a great uh rest of
1:00:16
is you know but have a great uh rest of the weekend be safe and uh and I hope to
1:00:20
the weekend be safe and uh and I hope to
1:00:20
the weekend be safe and uh and I hope to talk to you soon yeah same and thank you
1:00:22
talk to you soon yeah same and thank you
1:00:22
talk to you soon yeah same and thank you for having me okay
1:00:23
for having me okay
1:00:23
for having me okay thanks well that was a really great uh
1:00:26
thanks well that was a really great uh
1:00:26
thanks well that was a really great uh discussion I don't know about you all um
1:00:28
discussion I don't know about you all um
1:00:28
discussion I don't know about you all um I didn't get to any of the questions
1:00:30
I didn't get to any of the questions
1:00:30
I didn't get to any of the questions that I had uh pre-written for uh Rando
1:00:32
that I had uh pre-written for uh Rando
1:00:32
that I had uh pre-written for uh Rando but uh maybe next time so but I'm I'm
1:00:36
but uh maybe next time so but I'm I'm
1:00:36
but uh maybe next time so but I'm I'm really curious what you think about Ai
1:00:39
really curious what you think about Ai
1:00:39
really curious what you think about Ai and how this is going to affect your job
1:00:41
and how this is going to affect your job
1:00:41
and how this is going to affect your job and uh as a as a software engineer or a
1:00:43
and uh as a as a software engineer or a
1:00:43
and uh as a as a software engineer or a tech person so uh please reach out to me
1:00:46
tech person so uh please reach out to me
1:00:46
tech person so uh please reach out to me I'll have an email at the end if you're
1:00:48
I'll have an email at the end if you're
1:00:48
I'll have an email at the end if you're new to the show and uh let me know what
1:00:51
new to the show and uh let me know what
1:00:51
new to the show and uh let me know what your uh think is thinking is because
1:00:53
your uh think is thinking is because
1:00:53
your uh think is thinking is because again I you know I want to write
1:00:55
again I you know I want to write
1:00:55
again I you know I want to write articles about these kind of things and
1:00:58
articles about these kind of things and
1:00:58
articles about these kind of things and but I want to know what you're thinking
1:01:00
but I want to know what you're thinking
1:01:00
but I want to know what you're thinking about and uh what you're worried about
1:01:02
about and uh what you're worried about
1:01:02
about and uh what you're worried about maybe or what you see as the future of
1:01:04
maybe or what you see as the future of
1:01:04
maybe or what you see as the future of AI and how it's going to impact your job
1:01:06
AI and how it's going to impact your job
1:01:06
AI and how it's going to impact your job maybe early retirement I'd I'd love that
1:01:10
maybe early retirement I'd I'd love that
1:01:10
maybe early retirement I'd I'd love that part um uh speaking of starting new
1:01:14
part um uh speaking of starting new
1:01:14
part um uh speaking of starting new projects I saw this uh somebody posted
1:01:16
projects I saw this uh somebody posted
1:01:16
projects I saw this uh somebody posted this on uh Twitter the other day uh this
1:01:19
this on uh Twitter the other day uh this
1:01:19
this on uh Twitter the other day uh this is definitely I think most of us uh uh
1:01:23
is definitely I think most of us uh uh
1:01:23
is definitely I think most of us uh uh you get a new idea you start a project
1:01:25
you get a new idea you start a project
1:01:25
you get a new idea you start a project you tell every everybody and then you go
1:01:27
you tell every everybody and then you go
1:01:27
you tell every everybody and then you go on and do the new idea and you never
1:01:29
on and do the new idea and you never
1:01:29
on and do the new idea and you never finish anything I definitely uh can do
1:01:32
finish anything I definitely uh can do
1:01:32
finish anything I definitely uh can do that sometimes and actually sometimes I
1:01:35
that sometimes and actually sometimes I
1:01:35
that sometimes and actually sometimes I don't do new projects because I I fear
1:01:37
don't do new projects because I I fear
1:01:37
don't do new projects because I I fear that's what's going to happen and uh uh
1:01:40
that's what's going to happen and uh uh
1:01:40
that's what's going to happen and uh uh but I thought that was funny so if you
1:01:43
but I thought that was funny so if you
1:01:43
but I thought that was funny so if you have projects and you tell everybody try
1:01:44
have projects and you tell everybody try
1:01:45
have projects and you tell everybody try to finish it you know maybe somebody
1:01:46
to finish it you know maybe somebody
1:01:46
to finish it you know maybe somebody will like it I mean that's you know you
1:01:49
will like it I mean that's you know you
1:01:49
will like it I mean that's you know you know that's how kind of how I got you
1:01:51
know that's how kind of how I got you
1:01:51
know that's how kind of how I got you know started when I was a young software
1:01:53
know started when I was a young software
1:01:53
know started when I was a young software engineer is you know I would create soft
1:01:56
engineer is you know I would create soft
1:01:56
engineer is you know I would create soft Ware that you know didn't exist
1:01:57
Ware that you know didn't exist
1:01:57
Ware that you know didn't exist basically and for myself and once I had
1:02:00
basically and for myself and once I had
1:02:00
basically and for myself and once I had it done into a point where I liked it
1:02:03
it done into a point where I liked it
1:02:03
it done into a point where I liked it and it was really useful to me uh then I
1:02:05
and it was really useful to me uh then I
1:02:05
and it was really useful to me uh then I put it out to the world and see what
1:02:08
put it out to the world and see what
1:02:08
put it out to the world and see what everybody else thought and um you know
1:02:12
everybody else thought and um you know
1:02:12
everybody else thought and um you know that you know putting it out to the
1:02:14
that you know putting it out to the
1:02:14
that you know putting it out to the world has drastically changed since I
1:02:16
world has drastically changed since I
1:02:16
world has drastically changed since I started but you know I used to sell
1:02:18
started but you know I used to sell
1:02:18
started but you know I used to sell software you know back in the midnight
1:02:21
software you know back in the midnight
1:02:21
software you know back in the midnight for $25 a pop for the software I was
1:02:24
for $25 a pop for the software I was
1:02:24
for $25 a pop for the software I was writing and I was selling so
1:02:26
writing and I was selling so
1:02:26
writing and I was selling so um uh put it out there and see what
1:02:28
um uh put it out there and see what
1:02:28
um uh put it out there and see what people think you know you just might
1:02:30
people think you know you just might
1:02:30
people think you know you just might have a big hit on your hand I mean
1:02:32
have a big hit on your hand I mean
1:02:32
have a big hit on your hand I mean there's always these games that you know
1:02:34
there's always these games that you know
1:02:34
there's always these games that you know uh The Fad games that come out that you
1:02:37
uh The Fad games that come out that you
1:02:37
uh The Fad games that come out that you know somebody sells to New York Times or
1:02:39
know somebody sells to New York Times or
1:02:39
know somebody sells to New York Times or something makes a ton of money and and
1:02:42
something makes a ton of money and and
1:02:42
something makes a ton of money and and uh but it's probably just something they
1:02:43
uh but it's probably just something they
1:02:43
uh but it's probably just something they just it's probably
1:02:46
just it's probably
1:02:46
just it's probably this all right as uh every week uh
1:02:49
this all right as uh every week uh
1:02:49
this all right as uh every week uh please help me help the kids in the
1:02:52
please help me help the kids in the
1:02:52
please help me help the kids in the slums in Delhi India uh these are
1:02:54
slums in Delhi India uh these are
1:02:54
slums in Delhi India uh these are pictures from the last time I visited
1:02:56
pictures from the last time I visited
1:02:56
pictures from the last time I visited the voice of Slum in Delhi uh you know
1:02:58
the voice of Slum in Delhi uh you know
1:02:59
the voice of Slum in Delhi uh you know the kids really need our help uh and uh
1:03:02
the kids really need our help uh and uh
1:03:02
the kids really need our help uh and uh you know Dave and Chandy who's pictured
1:03:04
you know Dave and Chandy who's pictured
1:03:04
you know Dave and Chandy who's pictured here uh do a wonderful job at not only
1:03:07
here uh do a wonderful job at not only
1:03:07
here uh do a wonderful job at not only uh getting the kids out of slums but you
1:03:10
uh getting the kids out of slums but you
1:03:10
uh getting the kids out of slums but you know feeding them clothing them teaching
1:03:12
know feeding them clothing them teaching
1:03:12
know feeding them clothing them teaching them you know helping them uh learn a a
1:03:15
them you know helping them uh learn a a
1:03:15
them you know helping them uh learn a a skill that they can use to get a job
1:03:17
skill that they can use to get a job
1:03:17
skill that they can use to get a job when they get older uh so they do a
1:03:19
when they get older uh so they do a
1:03:19
when they get older uh so they do a great job I and I most everybody
1:03:23
great job I and I most everybody
1:03:23
great job I and I most everybody watching this show has the ability to
1:03:25
watching this show has the ability to
1:03:25
watching this show has the ability to get so I hope you will go to the voice
1:03:27
get so I hope you will go to the voice
1:03:27
get so I hope you will go to the voice of Slum excuse me the voiceof slam.org
1:03:31
of Slum excuse me the voiceof slam.org
1:03:31
of Slum excuse me the voiceof slam.org and just donate whatever you can and uh
1:03:34
and just donate whatever you can and uh
1:03:34
and just donate whatever you can and uh I know they will be really really uh
1:03:37
I know they will be really really uh
1:03:37
I know they will be really really uh grateful for that and you know I've met
1:03:39
grateful for that and you know I've met
1:03:39
grateful for that and you know I've met the kids twice now and they're just such
1:03:41
the kids twice now and they're just such
1:03:41
the kids twice now and they're just such great kids and and uh and they really
1:03:45
great kids and and uh and they really
1:03:45
great kids and and uh and they really deserve our help so I hope you go to
1:03:47
deserve our help so I hope you go to
1:03:47
deserve our help so I hope you go to voiceof slam.org and help them
1:03:49
voiceof slam.org and help them
1:03:49
voiceof slam.org and help them out after right after the show which is
1:03:52
out after right after the show which is
1:03:52
out after right after the show which is going to be in like one minute so next
1:03:55
going to be in like one minute so next
1:03:55
going to be in like one minute so next weekend I have Jim Wilcox on he was
1:03:57
weekend I have Jim Wilcox on he was
1:03:57
weekend I have Jim Wilcox on he was actually at build so hopefully um we'll
1:03:59
actually at build so hopefully um we'll
1:03:59
actually at build so hopefully um we'll talk a little bit about build next time
1:04:02
talk a little bit about build next time
1:04:02
talk a little bit about build next time uh but I'm looking forward to see in
1:04:04
uh but I'm looking forward to see in
1:04:04
uh but I'm looking forward to see in that Jim's a great guy he runs uh a
1:04:06
that Jim's a great guy he runs uh a
1:04:06
that Jim's a great guy he runs uh a group back where he lives uh as always
1:04:10
group back where he lives uh as always
1:04:10
group back where he lives uh as always please help your fellow hum and go
1:04:12
please help your fellow hum and go
1:04:12
please help your fellow hum and go donate blood this weekend uh you
1:04:14
donate blood this weekend uh you
1:04:14
donate blood this weekend uh you America's in a huge shortage right now I
1:04:17
America's in a huge shortage right now I
1:04:17
America's in a huge shortage right now I think I'm donating next week and I'm
1:04:19
think I'm donating next week and I'm
1:04:19
think I'm donating next week and I'm over um 20 gallons I've donated now so
1:04:23
over um 20 gallons I've donated now so
1:04:23
over um 20 gallons I've donated now so I'm I'm pretty proud of that and uh
1:04:26
I'm I'm pretty proud of that and uh
1:04:26
I'm I'm pretty proud of that and uh uh so go help your fellow human you
1:04:28
uh so go help your fellow human you
1:04:28
uh so go help your fellow human you because you're going to you probably
1:04:30
because you're going to you probably
1:04:30
because you're going to you probably will need the help someday uh I don't
1:04:32
will need the help someday uh I don't
1:04:32
will need the help someday uh I don't want you to need the help but you know
1:04:34
want you to need the help but you know
1:04:34
want you to need the help but you know there's a really good chance of that
1:04:35
there's a really good chance of that
1:04:35
there's a really good chance of that happening all right so uh that's the end
1:04:38
happening all right so uh that's the end
1:04:38
happening all right so uh that's the end of the show I hope to see you here back
1:04:40
of the show I hope to see you here back
1:04:40
of the show I hope to see you here back here next week um as always emailing
1:04:43
here next week um as always emailing
1:04:43
here next week um as always emailing suggestions including uh who you want me
1:04:45
suggestions including uh who you want me
1:04:45
suggestions including uh who you want me to invite on the show uh to uh what do I
1:04:48
to invite on the show uh to uh what do I
1:04:48
to invite on the show uh to uh what do I have that dlive.com and if you have any
1:04:52
have that dlive.com and if you have any
1:04:52
have that dlive.com and if you have any comments about Ai and about the show uh
1:04:55
comments about Ai and about the show uh
1:04:55
comments about Ai and about the show uh please please please please email me uh
1:04:57
please please please please email me uh
1:04:57
please please please please email me uh your comments and uh and I'll I'll uh
1:05:00
your comments and uh and I'll I'll uh
1:05:00
your comments and uh and I'll I'll uh look into them and and write articles or
1:05:03
look into them and and write articles or
1:05:03
look into them and and write articles or invite different people on the show all
1:05:04
invite different people on the show all
1:05:04
invite different people on the show all right um thanks so much and I'll see you
1:05:07
right um thanks so much and I'll see you
1:05:07
right um thanks so much and I'll see you next week
1:05:09
next week
1:05:09
next week [Applause]
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Rockin’ The Code World with dotNetDave ft. Rolando Masís-Obando - Ep. 102

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Rockin’ The Code World with dotNetDave ft. Rolando Masís-Obando - Ep. 102

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