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- 1Harvard physicist Matthew Schwartz publishes 36 papers co-authored with Claude●Harvard particle physicist Matthew Schwartz drops 36 papers authored with Claude
Harvard particle physicist Matthew Schwartz has released 36 papers co-authored with Anthropic's Claude chatbot, according to online discussion. The scale of AI involvement in academic physics writing is drawing attention and debate about research practices, authorship norms, and what role large language models should legitimately play in producing scientific papers.
- 2
An arXiv paper titled 'Context Language Models' (2609.37725) is circulating on Hacker News, drawing 149 upvotes and reaching the site's front page. The paper proposes an approach apparently focused on how language models use context, and commenters are weighing in on its ideas and implications. Details of the method and results remain thin in the available discussion.
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Anthropic's Claude chatbot is being discussed as an influence on how scientific work is now done, from drafting papers to shaping hypotheses and analysis. Commenters use the phrase 'Claude-shaped science' to describe research increasingly moulded by the outputs and assumptions of AI assistants, raising questions about quality, originality and dependence on a handful of commercial models in laboratories worldwide.
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A project called UniMate has been released as open-source Python code, described as one unified model capable of animating diverse skeleton types. The work is associated with SIGGRAPH Asia 2026, a leading computer graphics conference, indicating it is a newly accepted research contribution. It is drawing attention among developers and graphics researchers interested in character animation and motion generation tools.
- 5New 'Context Language Models' Research Paper Draws Attention●Context Language Models Article URL: https:// arxiv.org/abs/2609.37725 Comments URL: https:// news.ycombinator.com/item?
An arXiv paper introducing so-called context language models is circulating in tech circles after being shared on Hacker News. The paper describes a proposed approach in which models manage context differently from standard large language models, and early readers appear to be weighing in on its practical implications for AI and software security. Discussion is still in early stages with limited commentary so far.