Peter Ludwig, co-founder and CTO of Applied Intuition, discusses the technical inflection points that drove the company's expansion into autonomous control systems.
“One was transformers. That were originally successful for large language models, like you heard about Anthropic and OpenAI those started to have an impact on self-driving technology and robotics, and we thought that was really interesting, and then on top of that, there was some breakthroughs in what's called end-to-end deep learning, which is where you can now take lots of data, and you can train these models to actually control these systems in a way that wasn't possible before, And that was the moment when we actually decided to really enter the self-driving space ourselves but not so narrowly thinking about self-driving cars, but really more about the foundational physical AI technology needed to control any kind of machine”
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