OpenAI CEO Sam Altman (center) speaks Monday with Axios’ Ina Fried (right) and UN Tech Envoy Amandeep Singh Gill (left). Photo: OpenAI To those who contend that large language models are dumb word-predicters — " stochastic parrots " — that don’t actually understand questions or solve problems, OpenAI CEO Sam Altman responds, in effect: So what?
The big picture: As the power of generative AI models continues to grow and the tech industry’s bets on the technology pile up, a gulf remains between industry leaders like Altman — who believe AI will keep getting better as it gets bigger — and critics who argue that the technology will never prove fully reliable.
What they’re saying: "I think people get very hung up on the fact that it’s just being trained to predict the next token," Altman said Monday in an onstage interview with Axios’ Ina Fried. "Once it can start to prove unproven mathematical theorems, do we really still want to debate: ‘Oh, but it’s just predicting the next token?’" Altman said.
He spoke on a panel with UN tech envoy Amandeep Singh Gill at an OpenAI event on the sidelines of the UN General Assembly meeting in Manhattan.
Altman suggested that we’ve quickly taken for granted achievements most of us would have thought impossible just a few years ago. Altman said the recent release of o1 (internally code-named Strawberry) lets anyone on the internet use a tool that’s better at math than all but the top few 100 students in the U.S. — and works at the level of upper-echelon programmers.
Altman recalled an observation by mathematician Terence Tao: "The thing [he] said that stuck with me is that before, AI was like a very incompetent grad student. Now it’s like a mediocre grad student that you could give tasks to. And soon, you can see a unique, useful research partner."
State of play: Altman said the new o1 model’s reasoning capability has convinced him AI is getting closer to the goal of advancing scientific discovery. "I think with o1, you can see the glimmers of how […]
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