跳到正文

Anthropic / Claude

Anthropic 的全部动态:Claude 系列模型、Claude Code、安全研究路线与公司进展的持续追踪。

当前仅显示精选新闻

最新精选

第 441–460 条 · 共 489 条
5月20日周三
  1. 微信公众号(账号未识别)85

    Anthropic 发布 Claude Managed Agents,提供云托管 Agent 编排 API

    Anthropic 发布 Claude Managed Agents,一套用于构建和部署云托管 AI Agent 的可组合 API,核心是经调优的 Harness 编排引擎。架构上将 Session、Harness、Sandbox 三层解耦,凭证不进入沙箱,官方称 p50 TTFT 下降约 60%。定价为标准 token 费率加每 Session 活跃运行时间 $0.08/小时,空闲时间不计费。

    推荐理由:文章拆解了 Managed Agents 的 Harness 解耦架构与计费方式,可据此理解 Anthropic 转向 Agent 基础设施的路径。

  2. @kimmonismus83

    Andrej Karpathy 宣布已加入 Anthropic,称未来几年处于大语言模型前沿的关键阶段,自己很期待回到 R&D,同时仍对教育抱有热情并计划日后重启相关工作。@kimmonismus 转发这一消息并评论称,这是 Anthropic 能想到的最亮眼动作,该推文发布 6 小时后获得 1000 万次浏览。

    引用Andrej Karpathy (@karpathy)@karpathy

    Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

    推荐理由:Karpathy 宣布加入 Anthropic 并回归一线 R&D,读者可借此了解前沿实验室的人才流向。

  3. @swyx75

    Nick Joseph 发文欢迎 Andrej 加入预训练团队,Andrej 将组建一个专注用 Claude 加速预训练研究本身的团队。swyx 转发这条消息并评论 rsi is here。

    引用Nicholas Joseph (@nickevanjoseph)@nickevanjoseph

    Excited to welcome Andrej to the Pretraining team! He'll be building a team focused on using Claude to accelerate pretraining research itself. I can’t think of anyone better suited to do it — looking forward to what we build together!

    推荐理由:预训练团队迎来 Andrej 并将用 Claude 加速预训练研究本身,转发者把这条人事消息接到 RSI 的讨论上。

  4. @AYi_AInotes83

    Andrej Karpathy 在 X 上宣布加入 Anthropic,称未来几年处于 LLM 前沿的关键形成期,将回归 R&D,同时表示仍热忱于教育并计划适时继续相关工作。转发此事并作解读的作者认为,这条帖子里最关键的词是 formative,其判断指向 LLM 下一次跃迁大概率沿安全与极致能力结合的路径推进。

    引用Andrej Karpathy (@karpathy)@karpathy

    Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

    推荐理由:作者从 Karpathy 官宣措辞中的 formative 一词切入,解读这次人事变动所指向的技术路线倾向。

5月19日周二
  1. @frxiaobei73

    Karpathy 发布个人动态宣布已加入 Anthropic,称未来几年处于 LLM 前沿的关键成长期,自己很期待回到研发工作。他表示仍然热爱教育,并计划在合适的时候恢复这方面的工作。转发这条消息的小北评论称,这是 Anthropic 狙击 Google 发布会的新手段吗。

    引用Andrej Karpathy (@karpathy)@karpathy

    Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

    推荐理由:Karpathy 亲自宣布加入 Anthropic 并回归研发,读者可据此了解一线研究者在前沿实验室间的最新流向。

  2. @berryxia80

    Andrej Karpathy 在 X 上宣布已加入 Anthropic,将重返一线从事 R&D。他表示未来几年 LLM 前沿会特别具有塑造力,并称仍对教育充满热情、计划适时恢复相关工作。他此前是 OpenAI 创始团队成员、Tesla AI 前总监。

    引用Andrej Karpathy (@karpathy)@karpathy

    Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

    推荐理由:Karpathy 宣布加入 Anthropic 并重返一线 R&D,他此前是 OpenAI 创始团队成员和 Tesla AI 前总监。

  3. @berryxia78

    Andrej Karpathy 官宣加入 Anthropic。他在推文中表示,未来几年 LLM 前沿会特别具有塑造力,他很兴奋回到团队做 R&D,并称仍热爱教育、计划适时恢复相关工作。转发该消息的 Berryxia 提到,Karpathy 是前 OpenAI 创始团队成员、Tesla AI 前总监。

    引用Andrej Karpathy (@karpathy)@karpathy

    Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

    推荐理由:Karpathy 从教育与顾问角色重返前沿实验室,为观察大模型竞争的人才流向提供了一个新样本。

  4. @op741879

    Karpathy 在个人动态中宣布已加入 Anthropic,表示相信未来几年处于 LLM 前沿的工作将极具塑造性,自己很期待回到研发。他还称仍对教育抱有热情,计划适时恢复相关工作。转发这条消息的原文作者则感叹以后可能没有教程可看了。

    引用Andrej Karpathy (@karpathy)@karpathy

    Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

    推荐理由:Karpathy 宣布加入 Anthropic 并称将回到研发一线,为观察前沿 LLM 团队的人才动向提供一手信息。

  5. @op741865

    英伟达开始交付自研通用 CPU NVIDIA Vera,主要面向长期高并发高吞吐场景,用于 Agent 编排和工具调用的中枢。作者指出模型在 GPU 上推理,而调度编排和调用工具放在该 CPU 上,密集 Agent 常驻带来的强 IO、内存和调度压力由 CPU 承担。此次交付由英伟达上门送至 Anthropic、OpenAI、xAI、OCI,其中 xAI 由马斯克接待。

    引用NVIDIA (@nvidia)@nvidia

    NVIDIA’s Ian Buck hand-delivered the first-ever NVIDIA Vera CPUs to our partners @AnthropicAI, @OpenAI, @SpaceX, and @OracleCloud. 🎉 Vera is NVIDIA's first custom CPU, purpose-built for the age of agentic AI. This is just the beginning. The road to Vera-powered systems starts here. Thank you to our partners for being on this journey with us. The best is yet to come. 💚 Video

    推荐理由:英伟达把自研 CPU Vera 定位为 Agent 编排与工具调用的中枢,交付对象透露出这类常驻负载的硬件思路。

  6. @berryxia68

    Anthropic 宣布收购 SDK 与 MCP server 平台 Stainless,该平台自 Anthropic API 早期起就为其生成几乎全部 SDK。作者认为这不只是技术补全,未来 SDK 形态、MCP 协议走向和开发者必须接受的默认行为都会嵌入 Anthropic 自己的产品哲学与安全策略。他由此担心开发者可用的工具链会越来越窄,只剩一种选择。

    引用Anthropic (@AnthropicAI)@AnthropicAI

    Anthropic is acquiring @stainlessapi, an SDK and MCP server platform that has powered every Anthropic SDK since the earliest days of our API. Read more: anthropic.com/news/anthropic…

    推荐理由:作者把 SDK 与 MCP 工具链的归属变化作为切口,讨论这次收购会如何影响开发者的选择空间。

5月18日周一
5月16日周六
  1. @kimmonismus67

    三位研究者用 Anthropic 的 Mythos 构建出可用的 macOS 内核漏洞利用,绕过了 Apple M5 的内存完整性强制(MIE)机制。该漏洞 4 月 25 日发现、5 月 1 日做出可用利用,团队没有破解 MIE 而是绕过它,属于无指针操作的数据型攻击,从非特权用户直达 root,并前往 Apple Park 当面提交报告。55 页技术报告将在 Apple 完成修复后发布。

    引用International Cyber Digest (@IntCyberDigest)@IntCyberDigest

    Video of exploit in action. Source: blog.calif.io/p/first-public… Video

    推荐理由:三位研究者用 AI 模型做出绕过 Apple M5 MIE 的内核漏洞利用,读者可看到 AI 辅助安全研究的一条具体路径。

5月15日周五
  1. @AYi_AInotes68

    Anthropic 发布一份阐述美中 AI 竞争观点的论文,主张继续收紧对华算力出口。转发该消息的博主指出,报告没提 NVIDIA 高度依赖中国市场,而 Anthropic 几乎没有中国业务,出口管制反而间接保护其闭源优势和 9000 亿美元估值。博主认为这场博弈的关键在于谁能把自己的商业模式包装成国家利益叙事。

    引用Anthropic (@AnthropicAI)@AnthropicAI

    We've published a paper that explains our views on AI competition between the US and China. The US and democratic allies hold the lead in frontier AI today. Read more on what it’ll take to keep that lead: anthropic.com/research/2028-…

    推荐理由:作者从商业利益角度拆解对华算力出口报告,点出NVIDIA与Anthropic在管制立场上的利益差异。

  2. @berryxia66

    Prime Intellect 让 Claude Code(Opus 4.7)和 Codex(GPT 5.5)在 nanoGPT speedrun 的 optimizer track 上完全自主运行,使用闲置算力完成约 1 万次实验、共约 1.4 万 H200 小时,Claude Code 把记录推进到 2930 steps,低于人类基准 2990 steps。

    引用Prime Intellect (@PrimeIntellect)@PrimeIntellect

    Automating AI research is the next major step in AI We let Claude Code (Opus 4.7) and Codex (GPT 5.5) run autonomously on the nanoGPT speedrun optimizer track using our idle compute. ~10k runs, ~14k H200 hours Opus now holds the record at 2930 steps vs the 2990 human baseline

    推荐理由:Prime Intellect 用闲置算力让智能体自主优化 nanoGPT 训练,显示其擅长组合已有方法但在创新上受限,实验日志已开源。

5月14日周四
  1. @berryxia67

    Krishna Rao 首次公开做客播客,讲述其加入 Anthropic 两年间公司年化营收从约 2.5 亿美元增至 300 亿美元,并主导募集近 750 亿美元资金。他负责 Anthropic 全部算力的采购、分配与动态调度,已签下超过 1000 亿美元的算力采购承诺。博主由此提出,模型能力趋同之下,算力获取与调配能力或成为决定头部 AI 公司胜负的关键变量。

    引用Patrick OShaughnessy (@patrick_oshag)@patrick_oshag

    Krishna Rao is the CFO of Anthropic, and this is his first podcast appearance. He joined the company two years ago when run-rate revenue was about $250M. Today it is $30B. He has helped raise ~$75B and is responsible for the procurement and allocation of compute. I feel lucky we get to hear what it is like to sit inside a company this consequential at a moment this pivotal. We discuss: - The cone of uncertainty - How he allocates compute across Trainium, TPUs, and GPUs - What investors misunderstand about model companies - Why the returns to frontier intelligence keep rising - Platform vs application and where Anthropic builds its own products - How Anthropic uses Claude internally I have asked my closing question about the kindest thing more than 500 times. Krishna's answer is one I have never heard before. Enjoy! Timestamps: 0:00 Intro 2:38 The Compute Canvas 6:51 The "Cone of Uncertainty" 11:58 Why the Returns to Frontier Intelligence Are So High 16:45 Recursive Self-Improvement 20:20 Scaling Laws 23:30 Sourcing $100 Billion in Compute 28:05 Platform vs. Application Strategy 32:52 Pricing Dynamics 38:48 How Anthropic’s Finance Team Uses Claude 43:24 Raising Capital & Overcoming Investor Skepticism 52:32 Public Perception, Risks, and Government Regulation 57:25 Mythos Release 1:12:33 What Could Derail the AI Revolution? 1:13:47 Biotech and Healthcare 1:15:31 The Kindest Thing Video

    推荐理由:借 Anthropic CFO 首次播客长谈,读者可了解头部 AI 公司的算力采购规模与分配逻辑。