What if the jagged frontier is mainly math + code (which you can push arbitrarily far with RLVR), and everything else starts to plateau because it is still bottlenecked by human generated data? Model performance in non-verifiable areas has kept improving steadily, albeit much

François Chollet @fchollet ·

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  1. #1

    Arguing that "consciousness arises from a computational substrate, and since AI models are computation, they are likely conscious," is as meaningless as arguing that "living creat…

    François Chollet @fchollet ·
  2. #2

    The notion that current AI models are sentient and can suffer, combined with the foolish idea that suffering can be mathematically quantified and weighted between humans and non-h…

    François Chollet @fchollet ·
  3. #3

    Summary of the Keras community call -- 1. New pluggable backend plan, upcoming MLX and PaddlePaddle backends; new backends are installed as add-on libraries 2. Reducing number of…

    François Chollet @fchollet ·
  4. #4

    The critical distinction between base LLMs (2024 and earlier) and modern LRMs is not symbolic tool use. It's the switch from a transductive paradigm (intuit the answer to the quer…

    François Chollet @fchollet ·
  5. #5

    A lot of messaging around AI (by its proponents) enthusiastically frames it as a form of destruction, obliteration even: "AI just killed XYZ" - "It's over for XYZ" (in reality, th…

    François Chollet @fchollet ·
  6. #6

    I wrote Deep Learning with Python to be the definitive guide to how deep learning works and how to best make use of it. Tens of thousands of people got their career start via this…

    François Chollet @fchollet ·

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