There's a broadly held misconception in AI that methods that scale well are simple methods — even, that simple methods usually scale. This is completely wrong. Pretty much none of the truly simple methods in ML scale well. SVM, kNN, random forests are some of the simplest
@fchollet
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ARC-AGI-3 Most Accessible AI Benchmark for General Population
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ARC-AGI-3 has the lowest human bar of any AI benchmark out there. Almost all benchmarks require specialized knowledge that make them inaccessible to 99%+ of humans (like, say SWE-Bench). ARC-AGI-3 is feasible by regular people.
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Smart Humans Should Score Over 90% on ARC-AGI-3
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Any smart human giving it real effort should score >90% on ARC-AGI-3
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Memorization as Tool to Accelerate Cognition Not Replace It
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The role of memorization and knowledge is to cache & reuse past cognitive work. It should be leveraged as a way to speed up cognition, not as a *replacement* for cognition.
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Memorizing Reasoning Traces Cannot Replace Creative Innovation
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Simply retrieving a reasoning trace looks a lot like human reasoning, until it's time to navigate uncharted territory. If you memorized all reasoning traces of humans from 10,000 BC, you could automate their lives but you could not invent modern civilization.
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JAX Solver for Gyrokinetics Achieves 10x Speedup with CUDA
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The power of JAX https://t.co/qtC3JcVik9
— François Chollet (@fchollet) 10 avril 2026The power of JAX Eric Volkmann (@e_volkmann) Introducing gyaradax 🐉: A JAX solver for local flux-tube gyrokinetics with custom CUDA kernels for acceleration. This entire code was vibecoded by @ggalletti_ and me in a month. Validated against GKW (CPU-only Fortran code) with 10x speedups. Details and code in the replies. — https://nitter.net/e_volkmann/status/2041853935430881771#m
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Discrete symbols and mathematics foundations of AI modeling
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To make sense of the world is to model it in the simplest possible way. And simplicity requires discrete symbols. This is why we developed mathematics in the first place.
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Science needs models balancing predictive power with simplicity
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Science needs a way to process models that are only "mostly correct" in terms of their predictions, but are very compressive (high ratio between predictive power and model complexity). They are likely onto something.
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Physics History as Program Synthesis: Kepler and Newton’s Model Search
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We should view the history of physics as a long-running program synthesis task. Kepler and Newton were searching the space of possible symbolic models to find the simplest one that would best satisfy available observations.
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Meta’s ethical track record under scrutiny and criticism
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Meta is famously a very ethical company that has only had a very positive impact on the world, so any criticism of Meta must come from a place of "bias", I suppose