François Chollet

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Test-time scaling has two axes: running agents over longer timeframes (depth), and running a larger number of agents (breadth). Everybody knows about the first… 1 Sept
Some people worry that the rapid AI progress driving the "AI cybersecurity revolution" of 2026 could soon spill over into biology, potentially leading to extin… 30 Aug
What makes general intelligence "general" is that, *no matter the problem*, you should show intelligence. Not a-priori competence -- intelligence: the ability… 30 Aug
Figuring out the origins of cosmic rays (e.g. supernova, black hole...) from ground-based detector arrays is a notoriously difficult inverse problem. This post… 28 Aug
In verifiable domains, model capability scaling should remain unbounded. Models will simply keep improving by "absorbing more and more of the computational uni… 27 Aug
If you're 17 (or any age) and you want to learn to build LLMs from scratch, read chapters 15-16 of Deep Learning with Python, available online here: https://t.… 24 Aug
An increasing fraction of social media consists of slop influencers using AI to make posts and bots replying to them. An echo of an echo of an echo 23 Aug
Follow the gradient of surprise 21 Aug
This is very nice work from NVIDIA. Like all high-performing approaches on ARC-AGI-3, it uses deep learning-guided on-the-fly synthesis of symbolic world model… 21 Aug
The conjecture is wrong, here's an AI-generated counter example 20 Aug
Incredible watering down -- the Singularity is now redefined to mean "the rate of new firm creation has increased somewhat" Vernor Vinge described the Singular… 19 Aug
Regular reminder -- the set of public ARC 3 games is called "demonstration set", not "eval set" nor "training set". It is not meant to be used as training data… 14 Aug
Jeremy's excellent work here is a great illustration of a very powerful type of approach: LLM-guided on-the-fly synthesis of a symbolic world model, i.e. makin… 14 Aug
Test-time training was popularized during the ARC Prize 2024 competition, after being explored in particular by @MindsAI_Jack and team. To date, I believe ARC… 13 Aug
Expedia recently moved its ranking models to a state-of-the-art Keras 3 setup. Results: 30% faster training, and inference latency decreased by 70%. Read their… 12 Aug
Coding isn't yet another application domain -- it's the meta-skill required for AI to automatically develop its own training material, via symbolic world model… 10 Aug
Builders respect builders. The loudest, most toxic haters are almost always the ones who have never built a thing -- the Nobody McPoasters. 10 Aug
Current AI techniques are four to six orders of magnitude away from optimal in data efficiency and test-time compute efficiency. 7 Aug
Future AI, say in fifteen years, will not be built on the LLM stack; it will have to move to symbolic learning. 7 Aug
deep-learning-with-python-notebooks — Jupyter notebooks for the code samples of the book "Deep Learning with Python" 18 Sept 2025
namex — Clean up the public namespace of your package! 26 May 2025
ARC-AGI — The Abstraction and Reasoning Corpus 4 Apr 2025
Passing ARC-AGI does not amount to achieving AGI: o3 still fails on some very easy tasks, indicating fundamental differences from human intelligence. 20 Dec 2024
Scaling the 2019-2023 recipe — same architecture, bigger model, more data — is not enough; further progress depends on new architectural ideas. 20 Dec 2024
keras-resources — Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library 12 Feb 2024
keras-blog — Blog with Keras news, tutorials, and demos. 1 Nov 2023
nelder-mead — Pure Python/Numpy implementation of the Nelder-Mead algorithm. 24 Apr 2021
deep-learning-models — Keras code and weights files for popular deep learning models. 1 Oct 2020
hualos — Keras Total Visualization project 2 Feb 2018