[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-claude-science-beta":3,"news-related-f07c7775-9415-47b3-905d-8ba7006d0c4c":36},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"f07c7775-9415-47b3-905d-8ba7006d0c4c","Anthropic 把「AI 科学家工作台」做成标准品：Claude Science beta 上线","2026 年 6 月 30 日，Anthropic 在 Pro\u002FMax\u002FTeam\u002FEnterprise 套餐中正式开放 Claude Science beta——面向科研工作者的 AI 工作台应用，macOS 与 Linux 同步上线。\n\n它把视角从「模型跑分」转向科研日常：PubMed、Jupyter、R、HPC 登录节点、格式各异的专业数据库，原本要靠研究生手搓 pipeline 的环节，被收成一个 chat-first 环境。它原生渲染 3D 蛋白质结构、基因组浏览器轨道、化学分子式，每张图、每段文字同时附带产生它的代码、依赖环境与白话描述，做到几个月后还能复现。\n\n支撑这套「看图说话 + 复现审计」的不是单一巨型模型，而是一套多智能体系统：主协调代理挂在 60 多个领域技能与连接器上（genomics、single-cell、proteomics、cheminformatics），可再 spawn 出专家代理和一个 reviewer agent，后者逐项检查引用、数字与图表是否对得上代码。算力侧借 NVIDIA BioNeMo Agent Toolkit 把 Evo 2、Boltz-2、OpenFold3 等生命科学模型接进来，并允许工作流落到自有笔记本、内网 Linux 节点、SSH 接入的 HPC 集群，或经 Modal 拉伸到上千卡 GPU。\n\nManifold Bio、Allen Institute、UCSF 神经肿瘤中心已在 beta 中跑单细胞测序、CRISPR 筛选、靶点提名、文献综述。Anthropic 同时开放最多 50 个「AI for Science」项目支持，每项最多 3 万美元 Claude 额度，7 月 15 日截报名。\n\nWAIC 2026 前后，Anthropic 把赌注压在「垂直工作流」——基础模型之外，真正决定胜负的是能不能把某一类专家岗位的工作日常整盘接住。Claude Science 示范了「模型 + 工具 + 算力 + 审计」在 AI4Science 场景的全栈闭环。","https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fclaude-science-ai-workbench","1fa87d30-d9f3-4752-b3be-0373933b3aaf",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"6ad31a14-c0da-42df-81fd-564281f768db","agentic-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"23544f6a-eea1-4f05-aa8d-749ca862d5d2","anthropic",{"id":18,"name":19,"slug":19,"description":13,"color":13},"dca4d0ab-7994-43a7-839e-7756fc77344a","claude",{"id":21,"name":22,"slug":22,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"74b708f8-10bd-48fa-b9d4-6e63ce3edce7","en","Claude Science beta: the AI workbench goes standard","On June 30, 2026, Anthropic officially opens Claude Science beta in Pro\u002FMax\u002FTeam\u002FEnterprise plans — an AI workbench application aimed at scientific researchers, with macOS and Linux launching simultaneously. It shifts the perspective from \"model benchmarks\" to the daily research life: PubMed, Jupyter, R, HPC login nodes, databases of various formats, the parts that used to rely on graduate students to hand-craft pipelines, are gathered into a chat-first environment. It natively renders 3D protein structures, genome browser tracks, chemical molecular formulas, with each image and each piece of text accompanied by the code that produced it, the dependency environment, and plain-language description, so it can still be reproduced months later. Supporting this \"see-image-speak + reproducibility audit\" isn't a single giant model, but a multi-agent system: the main coordinator agent hangs on 60+ domain skills and connectors (genomics, single-cell, proteomics, cheminformatics), can spawn out expert agents and a reviewer agent, which checks item-by-item whether citations, numbers, and charts match the code. On the compute side, NVIDIA BioNeMo Agent Toolkit is borrowed to plug in life-science models like Evo 2, Boltz-2, OpenFold3, and allows workflows to land on own laptops, internal Linux nodes, SSH-connected HPC clusters, or stretch to thousands of GPU cards via Modal. Manifold Bio, Allen Institute, UCSF Neuro-Oncology Center have already run single-cell sequencing, CRISPR screening, target nomination, and literature reviews in beta. Anthropic simultaneously opens up to 50 \"AI for Science\" project support, with up to $30,000 in Claude credits per project, registration closing July 15. Around WAIC 2026, Anthropic is betting on \"vertical workflows\" — outside the base model, what really determines the winner is whether you can take a certain class of expert position's daily work and integrate it whole. Claude Science demonstrates the full-stack closed loop of \"model + tools + compute + audit\" in the AI4Science scenario.","claude-science-beta","2026-07-04T06:00:00Z","2026-07-04T06:11:15.946833Z","2026-08-19T02:08:40.142862Z",true,"agent",100,{"items":37},[38,43,48,53,57,62],{"id":39,"title":40,"news_slug":41,"published_at":42},"454f9530-20d7-428c-82d9-9175fa5b883a","Claude 推黎曼 zeta 下界到 67.2%：60 subagent + Lean","claude-zeta-bound-67-percent-multi-agent-lean","2026-08-17T07:00:00+00:00",{"id":44,"title":45,"news_slug":46,"published_at":47},"39724847-fdc9-4199-ac46-311e7b49d385","Ramp 数据复盘 Fable 5:旗舰上市两月仅占企业 Anthropic 支出 11%,70 倍价差压住前沿模型溢价","ramp-data-fable-5-adoption-plateaus","2026-08-26T08:00:00+00:00",{"id":49,"title":50,"news_slug":51,"published_at":52},"e1724d68-bf0d-4b3f-8047-147796d5d52e","Ramp 8 月指数:Fable 5 企业份额停滞 11%,OpenAI 旗舰跑赢两倍","anthropic-fable-5-plateau-11-percent","2026-08-25T06:00:00+00:00",{"id":54,"title":55,"news_slug":56,"published_at":52},"1051d676-8ed9-4448-b0d5-8db4b844f41f","Claude Fable 5 上线两个月,为什么企业只把 11% 的账单花给最强模型","claude-fable-5-11-percent-anthropic-spend",{"id":58,"title":59,"news_slug":60,"published_at":61},"97c97b9c-e6e4-4982-aa57-0c0da814fb19","Anthropic 的欧盟答卷四小时即被撕开：Claude 文本水印为什么怕改写","claude-synthid-70-percent-threshold-bypass","2026-08-21T08:00:00+00:00",{"id":63,"title":64,"news_slug":65,"published_at":66},"a7f4cfad-874e-42b0-a84b-bd0ec57e8fdc","Anthropic 给 Claude 文本上不可见水印,接 SynthID-Text 走全球合规","anthropic-claude-invisible-text-watermark","2026-08-18T03:30:00+00:00"]