Anthropic Researchers Predict AGI in 2 Years
Anthropic researchers Sholto Douglas and Nick Marwell join Joe Lonsdale to discuss why they expect human-level AGI within 2 years and how AI capabilities are accelerating.
The gist
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AI coding tools have gone from needing human help every few minutes to running 1 to 2 days of work on their own.
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Reinforcement learning on problems with clear right or wrong answers, like math proofs, drives faster gains than general text training.
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Douglas and Marwell point to FrontierMath benchmark scores jumping from 0% to 50 to 60% accuracy in one year as evidence of the pace.
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Most intellectual progress, they argue, comes from combining existing ideas rather than generating wholly new ones, a path AI can follow.
Also mentioned
5:38
ChatGPT
· "Obviously, you were saying in 2020, I think you realized you said that AGI was going to become possible. I..."
6:39
FrontierMath
· "We went from 0% on a set of problems assembled by professors across different fields to well over 40, 50,..."
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