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Headlines · 5
- Networked LLM Agents Form Polarized Opinion Groups
A study by researchers from Tsinghua University and partner institutions, published in Nature Communications, built a network of 1,000 LLM agents and tested GPT-3.5, GPT-4o, ChatGLM, Llama-3 and DeepSeek-V3. Without prescribed behavioral rules, agents formed opposing opinion groups, increasingly connected with similar-minded agents and showed self-inconsistency between their stated views, generated reasons and shared information. The researchers released code and quantified the effects of five interventions. In the polarized system, network-level changes had limited effects, while eliminating confirmation bias and neutral elite signals reduced polarization by 11.8% and 8.8%, respectively. A 36Kr article was an authorized republication of the New Zhiyuan report, not independent confirmation. The researchers cautioned that the simulation does not predict real-world populations and may be affected by the selected models, prompts and simplified opinion representation.
新智元 · 🔥 0 - Mathematician Proposes AI-Era Changes to Hiring and Evaluation
In a guest post, University of Chicago mathematician Frank Calegari called OpenAI’s October 6 release of more than 700 mathematics papers a watershed in mathematics. He said AI is capable of making groundbreaking contributions across many mathematical areas, but criticized the OpenAI papers’ writing, attribution practices and accuracy, saying some were wrong. Calegari proposed evaluating all work as if it were AI-assisted, emphasizing in-person hiring interviews, research vision and communication, demanding that journals adapt, broadening graduate education without dropping technical skills, improving seminars and taking greater ownership of AI-assisted results. IT之家 separately summarized his hiring and evaluation proposals.
Hacker News 首页（100+ 分） · 🔥 0 - CLASHarness Benchmarks Multimodal Agents in Multi-Agent Conflicts
A research consortium involving Google and six universities released CLASHarness, an open benchmark for testing 15 models when teammate reports conflict with system evidence. According to New Zhiyuan, its 600 executable tasks use high-resolution visual evidence and cover 20 domains; the report says no model exceeded a 30% end-to-end pass rate, with active verification and task handoff remaining major weaknesses. The generation pipeline, evaluation tasks, and an interactive trajectory viewer are available as open-source materials.
新智元 · 🔥 0 - Yu Deng calls for transparent reasoning chains and open models in mathematics
In a keynote reported on October 26, Fields Medalist and University of Chicago mathematics professor Yu Deng said people should remain the principal agents in AI-assisted research and AI should serve as a tool. He argued that major AI-generated mathematical proofs should disclose their reasoning chains, criticized AI companies for citing anti-distillation concerns when withholding them, and proposed open mathematics models governed by academic norms covering data use, disclosure and traceability. Reports also said that Yu Deng, Terence Tao, Peter Scholze and 22 other Fields Medalists were among the 25 initial signatories of a September 11 statement titled “A Severe Misalignment of AI in Mathematics,” which warned of a gap between AI companies’ goals and those of the mathematics community.
IT之家 AI · 🔥 0 - AI makes knowledge cheap: what universities still sell
In a paper posted to SSRN titled "The University after AI," Alfaisal University economics professor Jason Potts argues that universities never really sold knowledge — they sell matching and verification, and AI is the first information technology to hit both at once. Data cited in the piece puts the US college wage premium at about 87% in 2022 falling to about 78% in 2026, while a Harvard Business School and Burning Glass Institute study of 11,300 roles found that dropping degree requirements raised actual hiring of non-degree holders by only about 3.5%, with roughly 97,000 Americans gaining jobs that way in 2023. The article also covers responses such as revived oral exams and separating teaching from certification, and notes that China's publicly funded universities have more of a buffer even as a projected 12.7 million graduates in 2026 face a further diluted degree signal.
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