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9月6日周日
9月5日周六
  1. Rohan Paul74

    Anthropic 宣布 Claude 完成费马大定理的首个完整机器验证证明,Claude 在 11 天内以多个智能体将基于 Wiles 的证明转化为 Lean 代码。

    引用Anthropic@AnthropicAI

    Checking that a major mathematical proof is correct can take years. Formalization—converting the mathematical reasoning into a form computer proof assistants like Lean can verify—can help. Last month, Claude completed the first formalized proof of Fermat’s Last Theorem, one of the most famous theorems of all time. This was a project experts thought would take many years. It is the largest Lean proof ever written. Fermat’s Last Theorem was first proven in 1995 by Sir Andrew Wiles, more than 350 years after it was conjectured. Our proof, which totals over 13 million lines of code, provides machine verification. More importantly, it proves over 29,000 other theorems that the proof requires, across many areas of math which had never before been formalized. We see this as a major step in the long process of firming up the core of mathematical knowledge, building on work from three centuries of mathematicians and hundreds of contributors to Lean and Mathlib. We are optimistic that AI-assisted verification of mathematical proofs will help reduce the burden of refereeing mathematics in an era where more proofs are being produced than ever before. You can read about the process on our Science Blog: https://www.anthropic.com/research/formalizing-fermats-last-theorem And see the complete proof on GitHub: https://github.com/anthropics/fermats-last-theorem

  2. Rohan Paul57

    Visko 公布 Orbis 1.0 的评测结果:在自动化基准中于 DOVER 美学与技术和 VideoAlign 视觉与运动质量得分最高,并在 VideoPhy-2、Physics-IQ、VBench-2.0 Physics 三个物理合理性协议领先;在随机化人类 Arena 研究中总偏好和时间稳定性均排第一。

    引用Visko Platform@viskoai

    Our evaluation results for Orbis 1.0: Across automated benchmarks, Orbis scores highest on DOVER aesthetic and technical quality, and on VideoAlign visual and motion quality. It also leads three physical-plausibility protocols: VideoPhy-2, Physics-IQ, and VBench-2.0 Physics. In a randomized human Arena study of state-of-the-art real-time interactive video systems, Orbis ranked first in overall preference and first in temporal stability, the prerequisite for long-form generation. Full report: https://www.visko.ai/blog/papers/files/Visko_Orbis_1_0__A_Live_Model_for_Real_TimeInteractive_Long_Video_Generation.pdf

9月4日周五
  1. Rohan Paul46

    Apodex 发布 TRACES,一个针对答案未必已知的困难科学问题的 AI 基准,配套技术报告由首席科学家 @profshengwang 牵头。报告由 10 名 STEM 博士历时两个月、调研 561 个行业后整理出 423 个高价值真实问题,覆盖生物医学、临床转化和前沿模型工程。

    引用Apodex@Apodex_AI

    We invite you to read the full TRACES technical report Inside: the definitions, evaluation rubric, and registry of problems spanning biomedicine, clinical translation, and frontier-model engineering. Led by Apodex Lead Scientist @profshengwang, the report brings together the technical framework underpinning this effort. Behind it: 10 STEM PhDs, two months of research, and 561 industries surveyed to identify 423 problems worth solving—real, high-stakes questions that can take human experts years to work through. Bring a problem. Bring a solver. Both doors are open. *Submit a Problem: https://traces.apodex.com/submit-your-problem *Submit a Solver: https://traces.apodex.com/submit-your-solver

  2. Google Research:Blog64

    Google 联合 HHMI Janelia 发布完整雄性果蝇大脑连接组图谱

    Google 与 HHMI Janelia、MRC 分子生物学实验室及剑桥大学等合作,在 Cell 发表雄性果蝇大脑和中枢神经系统的完整连接组,包含超 166,000 个神经元和 1.25 亿个突触连接,是迄今按神经元数量计最大的大脑图谱。

    推荐理由:原文交代了连接组规模、验证流程和开放获取方式,并说明与雌性图谱配合能支持哪些比较研究。

9月3日周四
  1. Dongxi 东锡 NLP39

    @shannonzshen 分享了关于构建 Software World 的早期研究,这是一个由 Agent 运营的类似 GitHub 的系统。系统为依赖链中的 Python 软件包部署 Agent,每个 Agent 负责与其他 Agent 协作并优化自己所拥有的软件包。

    引用Shannon Shen@shannonzshen

    We share our early research on building Software World - a "GitHub" run by agents. We deploy agents for Python packages in a dependency chain, and each agent is tasked with collaborating with others and optimizing the package it owns.