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帖子指出，Terrence Tao 在加州理工的演讲被社区误读为反 AI，实际上他呼吁为 AI 数学研究投入更多算力，并鼓励对前沿模型进行更具创造性的应用。
Zineng Tang promotes the LSEI workshop at COLM 2026 on Oct 9, exploring how language models can learn by interacting with the world and other agents, featuring a speaker lineup and open discussion.
An opinion piece urging NeurIPS reviewers to raise scores when rebuttals address their stated concerns, regardless of personal taste, sparking discussion about the review process.
The author reflects on the decline of specialized conferences like BMVC, ACCV, FG, ICIP, and ICASSP, noting that research communities are now concentrated in a few flagship conferences, leading to limited capacity and inconsistent reviews.
A discussion on whether the ACL conference is losing relevance in the NLP community compared to larger AI venues like NeurIPS and ICML, questioning if an ACL first author paper still helps PhD applications.
OpenAI publishes a post-mortem on the Parameter Golf challenge, highlighting how AI coding agents lowered experimentation costs and changed the pace of research participation. The article details technical insights from over 2,000 submissions, including innovations in quantization, training optimization, and new modeling ideas.