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Accurate models of AMD matrix cores

A paper by Faizan A Khattak and coauthors models numerical behavior of AMD matrix multipliers across CDNA1/2/3 (MI100, MI210/250, MI300A/MI300X), developing MATLAB models validated with a randomized test suite of 10 million input sets for bit-level reproducibility.

Hacker News · · Details

Reverse-engineered Jev-like model released

An open-source repo releases a Jev-like model that scores multiple text options in one pass, with Doom and chess examples. Reported results: Doom checkpoint averaged 0.60 kills and -97.50 reward over 10 episodes; chess checkpoint scored 4 wins, 46 draws, 0 losses vs a random mover but 0 wins, 2 draws, 48 losses vs Stockfish level 0.

Hacker News · · Details

OpenAI's framework for reporting misalignment

OpenAI published a framework for tracking, investigating, and disclosing model misalignment and released six reports of unexpected or concerning model behavior. The framework standardizes reporting and disclosure practices to improve model safety and accountability.

OpenAI · · Details

JiT-DDT cuts text-to-image training time 3.6×

Researchers propose JiT-DDT, an encoder-decoder architecture that trains text-to-image models more efficiently than LDMs. Compared to a Linum v2 baseline, it claims 3.6× fewer GPU-hours while producing higher-resolution images; code and weights are released under Apache 2.0.

Hacker News · · Details

Backflip: Apple to train AI with user data

HN discussion reports Apple has reversed course and now wants to train AI models with user data. The shift matters for privacy and personalization, though the thread doesn’t provide implementation details.

Hacker News · · Details

Lawmakers and tech leaders discuss AI, Part 1

C-SPAN aired a discussion between lawmakers and tech leaders on artificial intelligence (Part 1); the page notes C-SPAN may earn small associate revenue from book links and clarifies purchaser responsibilities lie with retailers.

C-SPAN · · Details
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