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The AI Abstract — Morning Edition
Making the Future Evenly Distributed.
Transformer attention mechanisms turn out to be far more compressible than their architecture assumes, frontier models fail basic rule-following tasks in regulated domains at rates that should alarm anyone building compliance tools, and a new training approach lets models learn from problems they previously couldn't solve at all.
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