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AI News

‹Wed, October 7
All dates
0128

Biohub, Meta, Google DeepMind and US agencies commit $1.8bn to AI biology data

Biohub, the nonprofit research institute backed by Mark Zuckerberg and Priscilla Chan, announced a $1.8bn pooled effort to build open biology datasets for training AI models. Meta, Google DeepMind and Isomorphic Labs are contributing $300M combined; the US Department of Energy will spend more than $500M over five years through its Genesis Mission, the NIH is contributing datasets built with over $500M in earlier federal funding, Biohub itself has pledged $500M and Nvidia will supply computing and software. Commercial funders get one year of exclusive access before the data becomes public, government-funded work carries no such restriction, and partners aim for a first dataset in about a year and accurate predictive models within five years.

Techmeme·
0210

Study says Claude and ChatGPT may vary shopping prices by wealth

A study examined how Claude and ChatGPT behave as shopping assistants, with the headline reporting that they may offer different prices based on a shopper’s wealth. The research could prompt calls for greater regulation of AI shopping tools.

Bloomberg Technology·
038

A taxonomy aims to make AI agent sandbox security measurable

A TechRadar analysis examines the Agent Sandbox Taxonomy, a community-reviewed framework that evaluates agent sandboxes across seven defense layers, seven threat categories, and three evaluation dimensions. The framework includes fingerprints, a verification probe, and scores for 26 products, but the article notes that many scores are inferred from documentation and that public disclosures about the OpenAI-Hugging Face incident were insufficient for a complete assessment.

TechRadar·
0411

Report: Claude-generated Lean proof targets a percolation conjecture

A 36Kr report says Anthropic engineers uploaded a Lean-verified proof generated with an unpublished Claude model for a long-standing percolation conjecture in dimensions three through ten. The claim has not been independently established in the source: the original researchers are reportedly waiting for a human-readable explanation, and Anthropic has not published an official announcement.

36氪 人工智能·
056

QuantWM targets flicker in 2-bit video-world-model caches

Researchers from iLearn-Lab at Harbin Institute of Technology (Shenzhen) and LV-Lab at the National University of Singapore propose QuantWM, a training-free framework for 2-bit KV Cache quantization in video world models. The team says its query-sensitive clustering and low-rank attention compensation improve visual stability while achieving up to 6.20x KV Cache compression across five evaluated models.

机器之心·
069

2026 Nobel Chemistry Prize goes to Kagan and Soai for chiral autocatalysis

The Royal Swedish Academy of Sciences awarded the 2026 Nobel Prize in Chemistry to Henri B. Kagan of the University of Paris XI and Kenso Soai of Tokyo University of Science for discovering nonlinear effects and autocatalysis in asymmetric organic synthesis. Kagan's 1986 work showed a product's chiral purity can exceed that of the catalyst, while Soai reported the first asymmetric autocatalytic reaction (the Soai reaction) in 1995 and in 2003 produced near-pure single-handed chirality starting from achiral materials. Kagan, now 95, was widely seen as having missed out on the 2001 prize.

量子位(原生 RSS)·

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