We’ve also begun work on ARC-AGI-3, a new frontier benchmark intended to last for a while, launching in 2026. It completely departs from the earlier format — it tests new capabilities like exploration, goal-setting, and extremely data-efficient skill acquisition. Today, we're
@fchollet
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ARC Prize Foundation: Open Progress Towards AGI Through Benchmarks
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The ARC Prize Foundation (
@arcprize
) is a nonprofit organization dedicated to open progress towards AGI by creating enduring AI benchmarks. We make tools that generate the empirical data needed to drive informed research and policy decisions. Our first project was running the -
Strategy Matters More Than Computing Power in AI
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If you have a solid strategy and a small amount of compute, you can go pretty far. If you have huge clusters of GPUs and no strategy, your only achievement will be burning capital.
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Keras community meeting call starting in 10 minutes
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The Keras community meeting call starts in 10 min. Link to join: http://
meet.google.com/qop-ppjg-nvh -
Keras Community Meeting Tomorrow at 11am PT
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The Keras team will be doing a community meeting on Friday morning (tomorrow) at 11am PT. it's a public Meet call, anyone can join. You'll get updates on what's new in Keras, what will land next, and you'll be able to ask any question you have.
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Solving Mazes Through Pattern Recognition Rather Than Trial-and-Error
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Having a young son has made me look at a lot of mazes lately, and one thing I've noticed is that it's usually possible to solve any maze in ~2s via global-view pattern recognition, without having to go through a trial-and-error path search process. Like many search problems, 2D
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Complex Systems Evaluation: When Vibes Matter Most
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When a human-facing system becomes sufficiently complex, "vibes" become a perfectly valid evaluation methodology
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Keras 3 Expert Contract Opportunity: $5k-$10k for Technical Work
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Looking for a Keras 3 expert for a one-time contract. $5k-$10k for ~15-25 hrs of work, performance based. Work to start immediately and to be completed by Feb 1st. If you know your way around Keras 3 and you have a track record of great technical writing, send me your code
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Correlation vs Causation: Key to Robust Generalization
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If your learning algorithm is based on correlation rather than causation, it will struggle with overfitting. To understand something is to identify its minimal sufficient causal mechanisms. Parsimony isn't just elegance, it's generalization robustness.