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スライド0:49EN
Matthew Berman· 2026年9月9日OpenAI’s Claimed Navier–Stokes Result and an Internal Math ModelMatthew Berman · Forward FutureMatthew Berman discusses OpenAI’s proposed proof and its comparison between an internal model and GPT-6 Astra. The mathematical result and prize status remain subject to review.AI for scienceMathematics評価(Evals)+1
スライド 3 枚0:35EN
Matthew Berman· 2026年9月9日Sebastian Bubeck Responds to a Math Authorship DisputeMatthew Berman · Forward FutureMatthew Berman recounts OpenAI researcher Sebastian Bubeck’s account of communications with a mathematician identified as Levent.OpenAIMathematicsAI for science
スライド 5 枚15:37EN
Matthew Berman· 2026年8月4日Matthew Berman on Qwen3.8-Max, AI Costs and Open-Weight CompetitionMatthew Berman · Forward FutureA 2026 review of reported benchmark results and research demonstrations leads to questions about deployment economics and geopolitical dependence.Open-weight modelsBenchmarksAI cost & performance+2
0:47EN
Matthew Berman· 2026年2月7日GPT-5 and an Automated Laboratory: A Scientific WorkflowMatthew Berman · Forward FutureMatthew Berman describes an OpenAI and Ginkgo Bioworks demonstration connecting an AI model to laboratory automation.AI for scienceエージェント
0:58EN
Matthew Berman· 2024年11月18日A Withdrawn AI Research Study and Questions About Scientific DiscoveryMatthew Berman · Forward FutureA 2024 video cites an MIT-affiliated preprint that arXiv later withdrew; MIT says its findings should not be relied on.AI for scienceAI researchFuture of Work
スライド 2 枚11:10EN
Matthew Berman· 2024年11月13日AI and Scientific Discovery: A 2024 Video’s Withdrawn StudyMatthew Berman · Forward FutureMatthew Berman discusses AI-assisted research and recursive improvement; the central preprint was later withdrawn over serious data-validity concerns.AI for scienceAI researchAGI(汎用人工知能)
スライド 5 枚18:43EN
Matthew Berman· 2024年8月22日Sakana AI's AI Scientist and the Prospect of Automated ResearchMatthew Berman · Forward FutureMatthew Berman explores a 2024 system for generating and evaluating machine-learning research, and argues that automation could eventually accelerate AI progress.AI for scienceAI researchエージェント+2