AI News

Sun, October 4›

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Qwen3.8 27B sums big numbers in words, hitting 167/169 with reasoning on

Simon Willison re-ran an experiment Colin Frasier first tried two years ago with GPT-4o: have a model compute large sums but return the answer in words. He ran it on local hardware (a DGX Spark), using a Codex Remote session (GPT-6 Astra) to write and execute the test with Qwen3.8-27B-Q4_K_M.gguf. With reasoning disabled he sampled 30 attempts per cell; with reasoning enabled each run took so long that he used one sample per pair, and the model got 167 of 169 attempts right.

SSimon Willison's Weblog·3d

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Research

Eric Betzig Warns AlphaFold Alone Cannot Solve Drug Discovery

Nobel laureate Eric Betzig argued in a podcast interview that using AlphaFold protein structures alone for drug discovery is unlikely to succeed, because cells are dynamic, crowded, multiscale systems. He proposed combining live-cell 4D/5D imaging, self-supervised vision Transformers and zebrafish models to study drug effects from molecules to whole organs, while also criticizing academic incentives built around papers, grants and peer review.

MMIT科技评论中文·3d

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