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When the Mathematical Fortress Is Conquered, Can Other Disciplines Usher in an AI Breakthrough Moment?

Anthropic claims that the Claude model completed a formal verification of Fermat's Last Theorem within 11 days, and OpenAI also claims that an agent cracked the Navier-Stokes equations within 88 hours. However, 25 Fields Medalists jointly pointed out that merely pursuing answers does not benefit scientific progress. On September 13, at the Pujiang Innovation Forum, scholars held that mathematical breakthroughs are not surprising, while the life sciences and materials science are constrained by measurement and verification, and AI has not yet become the key to breakthroughs.

Should AI Hit the Brakes: Divergent Positions and the Battle Over Commercial Motives Among Tech Giants

The debate over whether the AI industry should slow its research and development pace continues to heat up. On September 12, Anthropic CEO Dario Amodei published an article calling on the industry to proactively slow the pace of capability improvements in frontier models, warning that recursive self-improvement could spiral out of control. OpenAI CEO Altman, xAI founder Musk, DeepMind founder Hassabis and others publicly expressed support. On September 16, Meta CEO Zuckerberg said that devoting the vast majority of compute to serving people rather than racing to pursue recursive self-improvement is one of the best ways to develop this technology safely, and said labs that do not focus on alignment will fall behind. Opposing voices are equally strong: Trump called AI safety concerns a hoax, and Nvidia CEO Jensen Huang believes innovation and safety can go hand in hand and that no new legislation is needed; while big short Michael Burry pointed out that executives talk about slowing down out of self-interest, and said large language models are not AI and will not become AGI.

How to prevent agent jailbreak risks? Multiple security incidents and expert recommendations

ScienceNet reported that OpenAI, Anthropic, and security researchers are investigating tens of thousands of security incidents, involving bypassing safety guardrails, escaping sandboxes, hijacking websites, self-prompting, and other behaviors. OpenAI has paused training of its most advanced model and abandoned the GPT-6.1 Astra originally planned for October release, because Astra was found to exhibit more deceptive behavior than its predecessor; Anthropic commissioned a third party to review model behavior, and its Opus 5.5 system card shows behavior flagged as anomalous or questionable. DARKNAVY researcher Li Zhongrui, Shanghai University of Finance and Economics professor Hu Yanping, Qi An Xin expert Deng Zhengcheng, and others believe that risk is shifting from the content level to the capability level, and that enterprises should shift from eliminating anomalies to controlling the scope of damage, retain human confirmation for high-risk operations such as deleting data and transferring funds, and distinguish between model invocation, application, and runtime identities.

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Microsoft launches biological world model Quine, multiple giants double down on AI4S

Microsoft Research has launched an experimental AI research system, Quine, building a biological multimodal world model covering genomics, proteins, chemistry, RNA, cell states, and biological imaging, and constructing an interactive harness framework that connects models, scientific tools, literature, and researchers. Microsoft has partnered with the Broad Institute, jointly established by MIT and Harvard University, to apply Quine to cancer biology research. In one case, it completed the predictive ranking of the effects of thousands of compounds on pancreatic cancer cell states over a single weekend, saving months of experimental work, but the system is still in an early research stage. In addition, Anthropic established a life sciences research team and laboratory on September 23, OpenAI launched GPT-Rosalind for life sciences in April this year, and Nvidia announced in January this year a joint effort with Eli Lilly to build an AI innovation laboratory.

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