Kolter: AI model architectures and Transformers no longer matter
Zico Kolter · Zico Kolter: OpenAI's Newest Board Member on The Biggest Questions and Concerns in AI Safety | E1197 · 20VC with Harry Stebbings · Sep 4, 2024 · at 59:25
Zico Kolter, CMU Machine Learning Department head and OpenAI board member, reflects on how his perspective on neural network architectures evolved during a quick-fire round with Harry Stebbings.
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“I, for a lot of my career, was thinking that model architectures really mattered, and by having clever, complex architectures and sub-modules inside architectures, you would have, that was the route to sort of better AI systems. For the most part, I don't believe this as much anymore. I think basically models don't matter, architectures don't matter, and that applies to Transformers, too. I think, you know, anything could kind of work in their stead if we just spend enough time on it and so I think that, to a large extent, we're kind of post Architecture in a lot of our AI work.”
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