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Public story · 2026-03-07 · source-backed
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19. Karpathy — microGPT 20. TechCrunch — Altman vs Anthropic 21. MIT Tech Review — LeCun AMI Labs 22. Dario Amodei — Adolescence essay 23. Simon Willison — Showboat and Rodney 24. Lenny's Newsletter — v0 25. ARC Prize — ARC-AGI-3
GPT-5.4 scores 0.26%. Opus 4.6 scores 0.25%. Grok-4.20 scores 0.00%. Humans score 100%. The Decoder covered the ARC-AGI-3 launch on March 25, and the results make every "AGI is here" claim look premature. François Chollet launched ARC-AGI-3 at Y Combinator HQ alongside a fires...
Bruce Schneier and Nathan Sanders published what Willison calls "the most thoughtful and grounded coverage" of the Pentagon situation. Core thesis: frontier AI models are functionally commodified — top-tier offerings leapfrog each other every few months. In a commodity market,...
Nearly 900 employees demanded clearer military AI limits after the Pentagon blacklisted Anthropic as a "supply chain risk" and U.S. strikes on Iran began hours later. Meanwhile, Schneier and Willison published what may be the most insightful reframe: AI models are now commodif...
This is the cleanest experimental result I've seen in weeks, and it explains a class of debugging pain I've hit personally. Researchers held weights, test cases, decoding parameters and seeds fixed on BFCL v4 and changed exactly one thing: the serving adapter. The tool-call sc...
poetiq.ai — Detailed technical breakdown of how a $40K-hardware startup achieved 54% on ARC-AGI-2 (vs. Google's 45% at nearly 3x the cost). The key innovation: "learned test-time reasoning" — an iterative refinement meta-system where solutions are generated, receive structured...
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