AI Daily brief · Monday, 9 November 2026
STARHOT

NVIDIA's board has launched an independent investigation into reports that CEO Huang Renxun has been targeted by foreign intelligence activities.
NVIDIA's board has launched an independent investigation in response to recent reports that the founder and CEO, Huang Renxun, has become a target of foreign intelligence activities. The investigation is being led by a committee of independent directors and external independent lawyers have been hired to assist. The board stated that there is currently no reason to believe that national security or NVIDIA's confidential information has been compromised. Huang Renxun has expressed full support and pledged cooperation with the investigation, with the board stating it has confidence in him and the leadership team.
Industry

A study claims that Claude Code's 'Don't Ask Again' option leads to password leaks in 1,122 publicly available GitHub files
Apiiro's blog post claims that Claude Code's 'Don't Ask Again' option led to passwords appearing in 1,122 public GitHub files. The post received 571 points and 387 comments on Hacker News, but the feed did not provide the article body.
NVIDIA is investigating the relationship between Huang Renxun and a suspected Chinese spy. · This item was removed or changed at the publisher’s request.
Research papers

Shanghai Jiao Tong University's AutoDNA device achieves autonomous molecular biology experiments, results published in Nature
Shanghai Jiao Tong University's Chen Haibo, Wang Zhao Guo team collaborates with Fan Chun Hai, Wang Fei team to construct AI-native scientific laboratory AutoDNA device (Siyuan No. 1), achieving autonomous molecular biology experiment operations, results published in Nature and featured on the homepage.

Alibaba and other teams released Co-Design Bench: coding intelligence agents only fully solve 26.4% of real tasks.
Researchers from Alibaba and several Asian universities used real user change requests to build the coding intelligence agent benchmark Co-Design Bench. Among the ten tested models, the best-performing GPT-6 Astra only meets about 70% of the task requirements, but only 26.4% of the tasks are completely correct.
Tips & opinions
llama-modchip enables the 284B DeepSeek-V4-Flash to run on a 64GB memory without GPU
llama-modchip releases a set of ggml/llama.cpp core patches and quantization transcoding tools, compressing the 284.33B DeepSeek-V4-Flash to 56.56 GiB (1.71 bpw), which can run on a pure CPU machine with 64 GB memory, with a peak memory of 57.61 GiB under 256K context and no need for swap.
In brief
- MaxxBench release: Model scores show significant divergence after rewriting DeepSWE tasksHacker News · 300+Follow-up
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