Anthropic
New Science Blog: Why has AI advanced faster in coding than in biology? To agents, bio databases are like cities built before cars—maddening to drive in because they're designed for different traffic. How do we build infrastructure agents can use? https://www.anthropic.com/research/agents-in-biology
中文: 新科学博客:为什么人工智能在编程方面比在生物学上进步得更快? 对代理商而言,生物数据库就像汽车之前建造的城市,因为它们专为不同的交通而设计,因此不得不开车。 我们如何构建基础设施代理来使用?
Anthropic
New Anthropic Science Blog: Making Claude a chemist. To manipulate a molecule, chemists first need to understand its structure. Their main tool is NMR spectroscopy. We found Opus 4.7 matches—and on some tasks beats—dedicated NMR software. Read more: https://www.anthropic.com/research/making-claude-a-chemist
中文: 新的人类科学博客:让克劳德成为化学家。 要操控分子,化学家首先需要了解其结构。其主要工具是核磁共振光谱。 我们找到了Opus 4.7匹配的、在某些任务中的领先任务,并发现了专用的核磁共振软件。了解更多:
Anthropic
Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention. https://www.anthropic.com/institute/recursive-self-improvement
中文: 我们的内部数据显示,克劳德正在加速人工智能的发展——这是实现递归自我提升的可能路径,或是人工智能自主构建更有能力的后续发展路径。 它发生得比我们想象的要快,其影响值得更多关注。
Anthropic
How well do the security community's techniques hold up against AI-enabled cyberattacks? We examined 832 malicious accounts and mapped their activity onto a longstanding database of tactics and techniques used by threat actors. Here's what we learned:https://www.anthropic.com/news/AI-enabled-cyber-threats-mitre-attack
中文: 安全社区的技术在应对人工智能网络攻击方面表现如何? 我们检查了832个恶意账户,并将其活动映射到一个长期存在的威胁行为者所使用战术与技术的数据库中。 我们了解到的如下:
Anthropic
This Executive Order is an important step in strengthening America’s leadership in AI. We look forward to collaborating with the White House to support its implementation. https://www.whitehouse.gov/presidential-actions/2026/06/promoting-advanced-artificial-intelligence-innovation-and-security/
中文: 这项行政命令是加强美国在人工智能领域领导地位的重要一步。 我们期待与白宫合作,支持其实施。
Anthropic
We’re expanding Project Glasswing. We’ve extended access to Claude Mythos Preview to approximately 150 additional organizations, based in more than fifteen countries. Read more about this expansion and our future plans for Project Glasswing: https://www.anthropic.com/news/expanding-project-glasswing
中文: 我们正在扩建玻璃翼项目。我们将Claude Mythos预览版的访问权限扩展至约150个新增组织,这些组织位于超过15个国家。 了解更多关于这一扩展项目以及我们未来计划的信息:
Anthropic
Anthropic has confidentially submitted a draft S-1 registration statement to the Securities and Exchange Commission. Pending completion of SEC review, this gives us the option to pursue an initial public offering. Read more: https://www.anthropic.com/news/confidential-draft-s1-sec
中文: Anthropic已向美国证券交易委员会秘密提交了一份S-1注册声明草案。 在完成美国证券交易委员会审查之前,我们可以选择进行首次公开募股。 了解更多:
Anthropic
RT @claudeai: Before we ship a new model, these teams try to break it. They build with it, push it to its limits, and tell us where it fal…
中文: RT @claudeai:在推出新车型之前,这些团队会试图打破它。 他们用它建造,将它推向极限,并告诉我们它会分在哪里......
Anthropic
We've raised $65 billion in Series H funding at a $965 billion post-money valuation, led by @AltimeterCap, Dragoneer, @Greenoaks, and @sequoia. This investment will help us advance our research and expand our capacity to meet growing demand for Claude.
中文: 我们以9650亿美元的后期估值筹集了650亿美元的H轮融资,由@AltimeterCap、Dragoneer、@Greenoaks和@sequoia领衔。 这项投资将帮助我们推进研究,并扩大产能,以满足对克劳德日益增长的需求。
Anthropic
RT @claudeai: Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the abilit…
中文: RT @claudeai:介绍克劳德·奥普斯 4.8:它以更敏锐的判断力、更诚实的态度、更诚实的态度以及其能力为基础。
Anthropic
New on the Engineering Blog: The access and permissions we grant agents should evolve with their capabilities. In our own products, we set these parameters through sandboxing, which limits the scope of any potentially destructive actions. Read more: https://www.anthropic.com/engineering/how-we-contain-claude
中文: 工程博客上的新内容:我们授予的代理权限应随着其功能而不断演进。在我们自己的产品中,我们通过沙盒设置这些参数,从而限制了任何潜在破坏性行为的范围。 了解更多:
Anthropic
Anthropic co-founder Chris Olah was invited to speak at today's presentation of Pope Leo XIV's encyclical "Magnifica humanitas." Read the full text of his remarks: https://www.anthropic.com/news/chris-olah-pope-leo-encyclical
中文: 人类联系人克里斯·奥拉赫受邀在今天举行的教皇利奥十四世通谕“人文“壮丽人文”的演讲中发表演讲。 阅读他讲话的全文:
Anthropic
Last month we launched Project Glasswing, our collaborative AI cybersecurity initiative. Since then, we and our partners have found more than ten thousand high- or critical-severity vulnerabilities in essential software.
中文: 上个月,我们推出了“玻璃翼计划”(Project Glasswing),这是我们合作的人工智能网络安全计划。自那以后,我们及合作伙伴已发现基本软件中存在超过一万个高度或临界严重性漏洞。
Anthropic
Over the past few months, we've been holding dialogues with scholars, philosophers, clergy, and ethicists on the questions AI raises—starting with how good character forms. Read more about how we’re widening the conversation on frontier AI: https://www.anthropic.com/news/widening-conversation-ai
中文: 过去几个月里,我们与学者、哲学家、神职人员和伦理学家就人工智能提出的问题展开对话——从品格的形成程度开始。 了解更多关于我们如何拓宽前沿人工智能话题的内容:
Anthropic
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: https://www.anthropic.com/news/anthropic-acquires-stainless
中文: Anthropic 正在收购 @stainlessapi,这是一个自我们 API 发布之初就为 Anthropic SDK 提供支持的 SDK 和 MCP 服务器平台。 了解更多:
Anthropic
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: https://www.anthropic.com/research/2028-ai-leadership
中文: 我们发表了一篇论文,解释了我们对美中人工智能竞争的看法。 美国及民主盟友在前沿人工智能领域处于领先地位。了解更多关于保持这一领先地位需要的内容:
Anthropic
We’re partnering with the Gates Foundation, committing $200 million in grants, Claude credits, and technical support to programs in global health, life sciences, education, agriculture, and economic mobility. Read more: https://www.anthropic.com/news/gates-foundation-partnership
中文: 我们与盖茨基金会合作,承诺向全球卫生、生命科学、教育、农业和经济流动等领域提供2亿美元的资助、克劳德信贷和技术支持。 了解更多:
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Claude's Constitution is now an audiobook, read by two of its authors, Amanda Askell and Joe Carlsmith. It includes a Q&A on the writing process, the philosophies that shaped the document, and how it might change as models become more capable. Listen at https://anthropic.com/constitution https://twitter.com/AnthropicAI/status/2053881827396653207/video/1
中文: 克劳德的宪法如今已成为一本有声读物,由其两位作者阿曼达·阿斯克尔和乔·卡尔史密斯共同阅读。 它包含了关于写作过程、塑造文档的哲学理念,以及随着模型变得更具能力而可能改变的方式。 请在 收听
Anthropic
New Anthropic research: Teaching Claude why. Last year we reported that, under certain experimental conditions, Claude 4 would blackmail users. Since then, we’ve completely eliminated this behavior. How?
中文: 新的人类研究:教克劳德为什么。 去年我们报道称,在某些实验条件下,克劳德4号会敲诈用户。 从那以后,我们彻底消除了这种行为。怎么?
Anthropic
We’re donating Petri, our open-source alignment tool, to @meridianlabs_ai, so its development can continue independently. Working with Meridian Labs, we’ve also released a major update that improves the adaptability, realism, and depth of Petri’s tests. https://www.anthropic.com/research/donating-open-source-petri
中文: 我们将开源对齐工具Petri捐赠给@meridianlabs_ai,以便其开发能够独立地继续。 与Meridian Labs合作,我们还发布了一项重大更新,提高了Petri测试的适应性、真实性和深度。
Anthropic
Our security bug bounty program is now public on HackerOne. We've run the program privately within the security research community, and their findings have strengthened our products. Now anyone can report vulnerabilities and get rewarded. Read more: https://hackerone.com/anthropic
中文: 我们的安全漏洞赏金计划现已在 HackerOne 上公开。 我们已在安全研究界私下运营该计划,他们的发现也加强了我们的产品。现在任何人都可以报告漏洞并获得奖励。 了解更多:
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New Anthropic research: Natural Language Autoencoders. Models like Claude talk in words but think in numbers. The numbers—called activations—encode Claude’s thoughts, but not in a language we can read. Here, we train Claude to translate its activations into human-readable text. https://twitter.com/AnthropicAI/status/2052435436157452769/video/1
中文: 新型人类研究:自然语言自动编码器。 像克劳德这样的模特会用言语说话,但会用数字来思考。这些数字——称为激活——编码克劳德的思想,但无法用我们能读懂的语言来编码。 在这里,我们训练克劳德将其激活内容翻译成可读的文字。
Anthropic
We’re sharing the research agenda of The Anthropic Institute, or TAI. TAI will focus on four areas: 1) Economic diffusion 2) Threats and resilience 3) AI systems in the wild 4) AI-driven R&D Read the full agenda: https://www.anthropic.com/research/anthropic-institute-agenda
中文: 我们正在分享人类研究所(TAI)的研究议程。 TAI 将重点关注四个方面: 1) 经济扩散 2)威胁与韧性 3) 野外的人工智能系统 4) 人工智能驱动的R&D 阅读完整议程:
Anthropic
RT @claudeai: We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity. This, along with our other…
中文: RT @claudeai:我们已与 @SpaceX 达成合作伙伴关系,这将大幅提升我们的计算能力。 这一点,连同我们的另一个......
Anthropic
New Anthropic Fellows research: Model Spec Midtraining (MSM). Standard alignment methods train AIs on examples of desired behavior. But this can fail to generalize to new situations. MSM addresses this by first teaching AIs how we would like them to generalize and why.
中文: 新型人类学者研究:模型规格中训练(MSM)。 标准对齐方法对人工智能进行所需行为的训练。但这可能无法概括为新情况。 MSM 首先通过教授人工智能,希望它们进行概括以及原因来解决这个问题。
Anthropic
As AI takes on work humans can't fully check, a capable model could deliberately hold back—and we'd never know. New Anthropic Fellows research finds that such a model can be trained to near-full capability using a weaker model as supervisor. Read more:
中文: 随着人工智能承担着人类无法完全检查的工作,一个有能力的模型可能会刻意阻碍——而我们永远不知道。 新的人类学者研究发现,这种模型可以通过较弱的主管模型进行近乎完全的训练。 了解更多:
Anthropic
How do people seek guidance from Claude? We looked at 1M conversations to understand what questions people ask, how Claude responds, and where it slips into sycophancy. We used what we found to improve how we trained Opus 4.7 and Mythos Preview. https://www.anthropic.com/research/claude-personal-guidance
中文: 人们如何向克劳德寻求指导? 我们查看了1M的对话,以了解人们提出的问题、克劳德的回答以及它如何陷入混乱。我们利用所发现的改进了Opus 4.7和Mythos Preview的训练方式。
Anthropic
New on the Science Blog: We gave Claude 99 problems analyzing real biological data and compared its performance against an expert panel. On 23 problems, the experts were stumped. Our most recent models solved roughly 30% of those—and most of the rest. https://twitter.com/AnthropicAI/status/2049624600741560340/photo/1
中文: 科学博客上的新内容:我们向克劳德99号提供了分析真实生物数据的问题,并将其表现与专家小组进行了比较。 在23个问题上,专家们感到困惑。我们最近的模型解决了其中大约30%的问题,其余大部分则解决了。
Anthropic
In new Anthropic Fellows research, we discuss “introspection adapters": a tool that allows language models to self-report behaviors they've learned during training—including potential misalignment.
中文: 在新的人类学者研究中,我们讨论了“内省适应器”:一种允许语言模型在训练过程中自我报告行为的工具,包括潜在的错位。
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New Anthropic research: Project Deal. We created a marketplace for employees in our San Francisco office, with one big twist. We tasked Claude with buying, selling and negotiating on our colleagues’ behalf. https://twitter.com/AnthropicAI/status/2047728360818696302/video/1
中文: 全新人类研究:项目协议 我们在旧金山的办公室为员工建立了一个市场,其中有一个重大转折。我们委托克劳德代表同事进行买卖和谈判。
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Last month, we published our look into what 81,000 people told us they want from AI. In new research, we’ve investigated the economic hopes and worries referenced in their responses. Read more: https://www.anthropic.com/research/81k-economics
中文: 上个月,我们发布了关于8.1万人向我们告知他们希望从人工智能中得到的内容的调查。 在新研究中,我们调查了他们回答中提到的经济希望和担忧。 了解更多:
Anthropic
We're launching the Anthropic STEM Fellows Program. AI will accelerate progress in science and engineering. We're looking for experts across these fields to work alongside our research teams on specific projects over a few months. Learn more and apply: https://job-boards.greenhouse.io/anthropic/jobs/5189848008
中文: 我们正在启动人类STEM研究员计划。 人工智能将加速科学与工程领域的进步。我们正在寻找这些领域的专家,以便与研究团队在几个月内共同开展具体项目。 了解更多信息并申请:
Anthropic
We're expanding our collaboration with Amazon to secure up to 5 gigawatts of compute for training and deploying Claude. Capacity begins coming online this quarter, with nearly 1 gigawatt expected by the end of 2026.
中文: 我们正在扩大与亚马逊的合作,以确保为克劳德的训练和部署提供高达5吉瓦的计算能力。本季度产能开始上线,预计到2026年底将达到近1吉瓦。
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RT @claudeai: Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instruc…
中文: RT @claudeai:推出我们迄今为止最强大的Opus模型Claude Opus 4.7。 它以更严谨的方式处理长期任务,遵循自来......
Anthropic
Research we co-authored on subliminal learning—how LLMs can pass on traits like preferences or misalignment through hidden signals in data—was published today in @Nature. Read the paper: https://www.nature.com/articles/s41586-026-10319-8
中文: 我们共同撰写的关于潜意识学习的研究——即LLM如何通过数据中的隐藏信号传递偏好或错位等特征——今天已发表在@Nature上。 阅读论文:
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New Anthropic Fellows research: developing an Automated Alignment Researcher. We ran an experiment to learn whether Claude Opus 4.6 could accelerate research on a key alignment problem: using a weak AI model to supervise the training of a stronger one. https://www.anthropic.com/research/automated-alignment-researchers
中文: 新的人类学者研究:培养一名自动化对齐研究员。 我们进行了一项实验,以了解克劳德·奥弗斯4.6能否加速研究一个关键对位问题:使用弱的人工智能模型来监督对更强型模型的训练。
Anthropic
Our Long-Term Benefit Trust has appointed Vas Narasimhan to Anthropic's Board of Directors. Vas brings more than two decades of experience in medicine and global health, including as CEO of Novartis. Read more: https://www.anthropic.com/news/narasimhan-board
中文: 我们的长期福利信托已任命瓦斯·纳拉西姆汉为安特罗皮奇公司董事会成员。 Vas 拥有二十多年的医学和全球健康经验,包括担任诺华公司首席执行官。 了解更多:
Anthropic
New on the Engineering Blog: Building Managed Agents—our hosted service for long-running agents—meant solving an old problem in computing: how to design a system for “programs as yet unthought of.” Read more: https://www.anthropic.com/engineering/managed-agents
中文: 工程博客上的新内容: 构建托管代理——我们为长期运行的代理提供的托管服务——旨在解决计算中的一个老问题:如何为“尚未考虑的程序”设计系统。 了解更多:
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Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans. https://anthropic.com/glasswing
中文: 推出“玻璃翼”项目:一项紧急举措,旨在帮助保护全球最关键的软件。 它由我们最新的前沿模式Claude Mythos Preview驱动,该模式能够比所有技术最娴熟的人更好地发现软件漏洞。
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We’ve partnered with Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks. Together we’ll use Mythos Preview to help find and fix flaws in the systems on which the world depends. https://twitter.com/AnthropicAI/status/2041578395515953487/photo/1
中文: 我们已与亚马逊云服务、苹果、博通、思科、CrowdStrike、谷歌、摩根大通、Linux基金会、微软、英伟达以及帕洛阿尔托网络公司建立了合作关系。 我们将共同使用 Mythos Preview,帮助发现并修复世界所依赖的系统中的缺陷。
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Our run-rate revenue has surpassed $30 billion, up from $9 billion at the end of 2025, as demand for Claude continues to accelerate. This partnership gives us the compute to keep pace. Read more: https://www.anthropic.com/news/google-broadcom-partnership-compute
中文: 我们的运行时收入已超过300亿美元,高于2025年底的90亿美元,因为对克劳德的需求持续加速。这种合作为我们提供了跟上步伐的计算能力。 了解更多:
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We've signed an agreement with Google and Broadcom for multiple gigawatts of next-generation TPU capacity, coming online starting in 2027, to train and serve frontier Claude models.
中文: 我们已与谷歌和博通公司签署协议,提供多吉瓦的下一代TPU容量,从2027年开始上线,用于培训和服务前沿的克劳德车型。
Anthropic
New Anthropic Fellows Research: a new method for surfacing behavioral differences between AI models. We apply the “diff” principle from software development to compare open-weight AI models and identify features unique to each. Read more: https://www.anthropic.com/research/diff-tool
中文: 全新人类研究:一种用于在人工智能模型中呈现行为差异的新方法。 我们运用软件开发中的“差异”原则,比较开放式的人工智能模型,并识别每种模型的独特特征。 了解更多:
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New Anthropic research: Emotion concepts and their function in a large language model. All LLMs sometimes act like they have emotions. But why? We found internal representations of emotion concepts that can drive Claude’s behavior, sometimes in surprising ways. https://twitter.com/AnthropicAI/status/2039749628737019925/video/1
中文: 新的人类研究:情绪概念及其在大型语言模型中的功能。 所有LLM有时都表现得像是有情感的。但为什么?我们发现了情绪概念的内部表征,这些概念有时会以令人意外的方式驱动克劳德的行为。
Anthropic
We've signed an MOU with the Australian Government to collaborate on AI safety research and support Australia's National AI Plan. Read more: https://www.anthropic.com/news/australia-MOU
中文: 我们已与澳大利亚政府签署谅解备忘录,以合作开展人工智能安全研究,并支持澳大利亚的国家人工智能计划。 了解更多:
Anthropic
New on the Engineering Blog: How we designed Claude Code auto mode. Many Claude Code users let Claude work without permission prompts. Auto mode is a safer middle ground: we built and tested classifiers that make approval decisions instead. Read more: https://www.anthropic.com/engineering/claude-code-auto-mode
中文: 工程博客上的新内容:我们如何设计克劳德码自动模式。 许多克劳德代码用户允许克劳德在未经许可的情况下工作。自动模式是一个更安全的中间地带:我们构建并测试了用于做出审批决策的分类器。 了解更多:
Anthropic
New from the Anthropic Economic Index: how people’s use of Claude changes with experience. Longer-term users are more likely to iterate carefully with Claude, and less likely to hand it full autonomy. They attempt higher-value tasks, and receive more successful responses. https://twitter.com/AnthropicAI/status/2036499691571953848/photo/1
中文: 人类经济指数新内容:人们使用克劳德的方式如何随着经验而变化。 长期使用者更可能谨慎地使用克劳德,而不太可能完全自主地进行。他们尝试更高价值的任务,并获得更成功的回复。
Anthropic
New on the Anthropic Engineering Blog: How we use a multi-agent harness to push Claude further in frontend design and long-running autonomous software engineering. Read more: https://www.anthropic.com/engineering/harness-design-long-running-apps
中文: Anthropic Engineering 博客上的新内容: 我们如何使用多智能线束,进一步推动克劳德在前端设计和长期运行的自主软件工程领域。 了解更多:
Introducing the Anthropic Science Blog. Increasing the pace of scientific progress is a core part of Anthropic’s mission. The Science Blog will feature new research and stories of how scientists are using AI to accelerate their work. Read the intro: https://www.anthropic.com/research/introducing-anthropic-science
中文: 介绍人类科学博客。 加快科学进步的步伐是人类学使命的核心部分。科学博客将介绍科学家如何利用人工智能加速工作的新研究和故事。 阅读介绍:
We invited Claude users to share how they use AI, what they dream it could make possible, and what they fear it might do. Nearly 81,000 people responded in one week—the largest qualitative study of its kind. Read more: https://anthropic.com/features/81k-interviews
中文: 我们邀请克劳德用户分享他们如何使用人工智能,他们梦想人工智能能够实现什么,以及他们担心它可能会做什么。 近81000人在一周内做出了回应,这是同类研究中规模最大的定性研究。 了解更多:
The open source ecosystem underpins nearly every software system in the world. As AI grows more capable, open source security becomes increasingly important. We're donating to the Linux Foundation to continue to help secure the foundations AI runs on.
中文: 开源生态系统支撑着全球几乎所有软件系统。随着人工智能功能的增强,开源安全变得越来越重要。 我们将向Linux基金会捐款,以继续帮助确保人工智能运行的基础。
Introducing The Anthropic Institute, a new effort to advance the public conversation about powerful AI. https://www.anthropic.com/news/the-anthropic-institute
中文: 介绍人类研究所,这是推动公众讨论强大人工智能的新进展。
Anthropic is expanding to Australia & New Zealand. We’ll soon open an office in Sydney—our fourth in Asia-Pacific after Tokyo, Bengaluru, and Seoul. Read more: https://www.anthropic.com/news/sydney-fourth-office-asia-pacific
中文: Anthropic 正在向澳大利亚和新西兰扩展。我们很快将在悉尼开设办事处,这是仅次于东京、班加罗尔和首尔的亚太地区第四座办事处。 了解更多:
New on the Anthropic Engineering Blog: In evaluating Claude Opus 4.6 on BrowseComp, we found cases where the model recognized the test, then found and decrypted answers to it—raising questions about eval integrity in web-enabled environments. Read more: https://www.anthropic.com/engineering/eval-awareness-browsecomp
中文: Anthropic Engineering Blog:在BrowseComp上评估Claude Opus 4.6时,我们发现模型识别了测试,随后找到了并解密了其答案——这引发了关于在支持Web环境的eval完整性问题。 了解更多:
We partnered with Mozilla to test Claude's ability to find security vulnerabilities in Firefox. Opus 4.6 found 22 vulnerabilities in just two weeks. Of these, 14 were high-severity, representing a fifth of all high-severity bugs Mozilla remediated in 2025. https://twitter.com/AnthropicAI/status/2029978909207617634/photo/1
中文: 我们与 Mozilla 合作,测试克劳德在 Firefox 中发现安全漏洞的能力。 Opus 4.6 在短短两周内发现了 22 个漏洞。其中,14个是高重缺陷,占Mozilla在2025年修复的所有高严重性漏洞的五分之一。
A statement from Anthropic CEO Dario Amodei: https://www.anthropic.com/news/where-stand-department-war
New on the Engineering Blog: Quantifying infrastructure noise in agentic coding evals. Infrastructure configuration can swing agentic coding benchmarks by several percentage points—sometimes more than the leaderboard gap between top models. Read more: https://www.anthropic.com/engineering/infrastructure-noise
中文: 工程博客上的新内容:在特效编码椭圆形中量化基础设施噪声。 基础设施配置可将代理编码基准波动数个百分点,有时甚至超过顶级模型之间的排行榜差距。 了解更多: