From the AI We Have to the AI We Need

Today's AI stack is delivering big productivity gains, but it continues to suffer from serious shortcomings. The AI GPUs on which the stack rests are not optimized for running trained AI models. They consume too much energy per unit of intelligence. SambaNova is trying to solve that problem with a better AI chip. Meanwhile, AI models do not learn continuously or have true memory. That's what Adaption Labs is working on. In conversation, their chief executives discuss how we get from the stack we have to the stack we truly need. Sara Hooker, Co-Founder and CEO, Adaption Labs Rodrigo Liang, Co-Founder and CEO, SambaNova Jeremy Kahn, AI Editor, Fortune