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  1. Rohan Paul78

    OpenAI 与 PerturbAI、Scripps Research 用 1946 个 GPT-Rosalind-5.5 智能体并行解析小鼠全脑 CRISPR 图谱,32 分钟完成其估计人类需数月的工作,产出脑疾病研究线索排序。

    引用OpenAI@OpenAI

    GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it. That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders. With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets. https://openai.com/index/scaling-ai-research-for-complex-biological-data/

    推荐理由:原文给出了智能体拆分大规模实验的具体做法与盲评对比数据,读者可据此判断并行智能体在科研分析中的分工方式。

  2. Rohan Paul75

    Anthropic 科学博客介绍,Claude 在其 Claude Science 环境中以智能体方式自主完成整套蛋白质设计流程,针对蝎毒神经毒素设计结合蛋白。

    引用Anthropic@AnthropicAI

    New on our Science Blog: designing protein binders against scorpion neurotoxins. Scorpions sting about 1.2m people every year, and antivenoms are often costly or in short supply. Claude has made an early step toward finding new treatments. https://www.anthropic.com/research/claude-scorpion-toxin-binder-design

    推荐理由:Anthropic 科学博客披露 Claude 作为智能体自主完成蛋白质设计流程,并给出两处实验室验证的分子数量。

  1. Google DeepMind78

    Google DeepMind 转发介绍,四个 Gemini 4 Argon 智能体在同一个 Minecraft 世界中从零开始,用 27 小时击败末影龙。它们只在沙盒中用代码和文本操作,共编写 2,783 个程序,通过聊天分配任务、共享笔记并互相调试错误,全程没有人类帮助。

    引用Maxence Faldor@maxencefaldor

    Four Gemini 4 Argon agents, one shared Minecraft world, one goal: defeat the Ender Dragon. 27 hours and 2,783 self-written programs later, the dragon fell. https://x.com/i/article/2111007444981645312

    推荐理由:四个 Gemini 4 Argon 智能体在共享沙盒中自行分工、写码与调试,展示了多智能体协作完成长程任务的一种路径。

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