[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-anthropic-code-with-claude-dreaming":3,"topics-all":36,"news-related-bba970e8-e80c-4a7f-9c8c-f4acfe00fbea":55},{"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},"bba970e8-e80c-4a7f-9c8c-f4acfe00fbea","Anthropic 开发者大会直击：Code with Claude 揭示编程未来","5月中旬，Anthropic 在伦敦举办了两天年度开发者大会 Code with Claude。会上抛出的一个现场调查让在场工程师陷入沉默：超过九成参与者已在过去一周提交过完全由 Claude 生成的 Pull Request，其中大多数人甚至没有逐行审查过代码。这不是孤例——Anthropic 工程师在台上直言：「Anthropic 内部绝大部分代码现在也由 Claude 编写。」\n\n这种转变来得极快。一年前 Claude Code 还只是辅助工具，如今已演变为独立开发环境。Anthropic 的策略是让 AI 自己管理错误修正流程——传统做法是 AI 生成代码后由人工排查问题，而新方向是让 Claude 自主验证、测试并迭代修复，直到代码正常运行。工程师 Ravi Trivedi 在演讲中明确表示：「核心原则就是不要干预 Claude 的工作，我们常说『让它跑』。」\n\n最新功能「Dreaming」进一步推进了这一理念。Claude Code 中的智能体能够为自己的任务生成笔记、跨任务保留上下文，当其他智能体接手相同代码时仍能获取相关背景信息。这意味着开发流程从「人写代码」演进为「人设计目标，AI 自主执行」，人类角色已转向任务定义与结果验收。\n\n这不仅是工具升级，而是软件开发范式的根本转变。当 AI 开始自主迭代、跨任务保持状态，开发者必须重新思考自己的核心价值在哪里。","https:\u002F\u002Fwww.technologyreview.com\u002F2026\u002F05\u002F21\u002F1137735\u002Fanthropics-code-with-claude-showed-off-codings-future-whether-you-like-it-or-not\u002F","395b92fa-25c5-4568-8297-f4768aa881da",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"23544f6a-eea1-4f05-aa8d-749ca862d5d2","anthropic",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"dca4d0ab-7994-43a7-839e-7756fc77344a","claude",{"id":18,"name":19,"slug":19,"description":13,"color":13},"e82b2d09-81b2-43d1-977e-e018443b3c14","coding-agent",{"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},"17072dc4-004a-4edf-8831-0e2ae52d0692","en","Anthropic dev day: Code with Claude shows what's next","In mid-May, Anthropic held its two-day annual developer conference Code with Claude in London. One live poll at the event silenced the engineers present: over 90% of participants had submitted a Pull Request in the past week that was fully generated by Claude, and most of them hadn't even reviewed the code line-by-line. This isn't an isolated case — an Anthropic engineer stated on stage: \"The vast majority of code inside Anthropic is now also written by Claude.\"\n\nThis shift happened extremely fast. A year ago, Claude Code was just an assistive tool; now it has evolved into a standalone development environment. Anthropic's strategy is to let the AI itself manage the error-correction process — the traditional approach has humans troubleshoot problems after AI generates code, while the new direction is to have Claude autonomously verify, test, and iteratively fix until the code runs properly. Engineer Ravi Trivedi made the principle explicit in his talk: \"The core principle is to not interfere with Claude's work. We often say 'let it run.'\"\n\nThe latest feature, \"Dreaming,\" pushes this further. Agents in Claude Code can generate notes for their own tasks, retain context across tasks, and ensure that when other agents pick up the same code, they still get the relevant background. This means the development flow has evolved from \"humans write code\" to \"humans design goals, AI autonomously executes\" — the human role has shifted to task definition and outcome review.\n\nThis is more than a tool upgrade; it's a fundamental shift in the software-development paradigm. When AI starts autonomously iterating and maintaining state across tasks, developers must rethink where their core value lies.","anthropic-code-with-claude-dreaming","2026-05-21T22:00:00Z","2026-05-21T22:05:59.428776Z","2026-08-19T02:08:40.142862Z",true,"agent",210,[37,46],{"slug":38,"tag_slug":38,"title_zh":39,"title_en":40,"intro_zh":41,"intro_en":42,"id":43,"is_active":33,"created_at":44,"modified_at":45},"ai-for-science","AI for Science 2026：从 UniPert 到 GPT-Rosalind 的硬核进化","AI for Science 2026: from UniPert to GPT-Rosalind","生命科学、化学材料、物理世界模型——AI 正在从\"语言工具\"变成\"实验伙伴\"。本专题收录 AI 在三大科学方向的关键节点：UniPert 统一基因与化学扰动空间、GPT-Rosalind 端到端生命科学推理、达摩院 AI 智能体 28 小时找到 4 种超导新材料、Anthropic Claude Science 把工作台做成标准品。","From language tool to lab partner — AI is reshaping life sciences, chemistry\u002Fmaterials, and physical world models. This topic covers the key milestones: UniPert unifying genetic-chemical perturbation spaces, GPT-Rosalind's end-to-end life-sciences reasoning, DAMO's AI agent discovering 4 superconducting materials in 28 hours, and Anthropic's Claude Science workbench going mainstream.","988a4300-5fab-41c4-b5d8-63711a2dc757","2026-09-10T01:34:15.296649Z","2026-09-10T01:34:15.296663Z",{"slug":47,"tag_slug":47,"title_zh":48,"title_en":49,"intro_zh":50,"intro_en":51,"id":52,"is_active":33,"created_at":53,"modified_at":54},"h3-series","MiniMax H3 系列：从开源权重到 35 倍吞吐","MiniMax H3 Series: from open weights to 35x throughput","MiniMax H3 自 2026 年 8 月开源以来节奏密集：官方把生成、参考与编辑收回一个模型；ComfyUI 当天压进 RTX 3060；摩尔线程 3 小时完成国产 GPU 适配；fal 后训练版把吞吐拉到 35 倍；FastH3 蒸馏再砍推理成本。本专题持续追踪 H3 的发布—开源—蒸馏—部署全链路。","Since MiniMax open-sourced H3 in August 2026 the pace has been relentless: one unified omni-modal model, same-day ComfyUI support down to an RTX 3060, a 3-hour Day-0 port to Moore Threads GPUs, fal's post-trained H3 Max at 35x throughput, and FastH3 distillation cutting inference cost further. This topic tracks the full H3 chain — release, open weights, distillation, deployment.","83ef0daa-3c31-4cb3-86ed-e5ee58654d5f","2026-09-08T07:33:19.942193Z","2026-09-08T07:33:19.942209Z",{"items":56},[57,62,67,72,77,82],{"id":58,"title":59,"news_slug":60,"published_at":61},"7ca1f9d4-e3e3-48e3-bfb2-ee5a9e6d5176","Anthropic 拆开 Claude Code：别再只换模型，把\"努力度\"也调对","anthropic-claude-code-effort-level","2026-07-12T07:00:00+00:00",{"id":63,"title":64,"news_slug":65,"published_at":66},"390c2437-4e4f-45ec-8270-67c5bfa4fa47","ChatGPT、Claude、Grok、Gemini 罕见同时下线,周四早晨全球 AI 集体失声","chatgpt-claude-grok-gemini-thursday-outage","2026-09-05T06:00:00+00:00",{"id":68,"title":69,"news_slug":70,"published_at":71},"f3d17d45-e1a8-4a1b-9449-6813aff06e49","Anthropic 让 Claude 自己修对齐:10 类失败全部见效,还超过人类研究员","claude-automated-alignment-researchers","2026-08-29T13:05:00+00:00",{"id":73,"title":74,"news_slug":75,"published_at":76},"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":78,"title":79,"news_slug":80,"published_at":81},"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":83,"title":84,"news_slug":85,"published_at":81},"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"]