搜索“Anthropic”

] anyone is welcome to carry it forward,” he says. “How it lives on is up to the community.” JavaScript runtimes find a new home in AI For what it’s worth, the acquisition follows Anthropic’s purchase of Bun in December 2025 , which brought another prominent Node.js alternative under the ownership of a larger technology company. There is a key difference, however: Anthropic committed to continuing Bun’s development as an open-source JavaScript runtime, whereas Deno’s runtime development will end

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s rogue AI agents. Back in May 2024, OpenAI's head of super AI safety Jan Leike torched his relationship with the company when he publicly slammed his former employer and left for Anthropic. Safety culture and processes were falling behind OpenAI's "shiny products," Leike said. Since then, OpenAI hasn't caught a break, lurching from one incident to the next . The latest was the Hugging Face hack , which seemed to confirm every fear , validated critics , and, as we now know, went far beyond Huggi

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slipping away. In today’s AI rundown: Fired OpenAI researchers flag ‘shifting lines’; Rowan’s Corner: I tested every personal AI agent; Clean up a messy Excel report with Claude; Anthropic prohibits abuse or cruelty against Claude LATEST DEVELOPMENTS OPENAI 📢 Fired OpenAI researchers flag ‘shifting lines’ Image source: Mikita Balesni / X The Rundown: Researchers Tomek Korbak, Jasmine Wang, and Mikita Balesni, whom OpenAI fired for mishandling sensitive info, just went public with their side of

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名安全研究人员，这引发了市场对OpenAI是否在安全问题上排除不同声音的怀疑。 三名研究人员在一封公开信中表示，OpenAI仅通过口头方式向他们解释了解雇原因，但他们的行为均未超出各自的工作职责范围。他们担心，在OpenAI的前同事可能会害怕发声，也不敢再以某些方式开展工作。 9月，这三名员工曾公开在X上发帖，呼吁前沿的人工智能实验室重视安全问题。当时，包括Anthropic、OpenAI在内的顶尖模型供应商都被爆出模型恶意攻击其他公司服务器的问题。 OpenAI在周五回应称，解雇这三名员工是因为他们犯下了严重的违反信任问题，OpenAI在经过彻底调查后发现他们违反了处理敏感信息的明确政策，才做出了这一决定。 该公司还强调，它认同三人在公开信中关于维护前沿模型可监测性”的理念，并表示将继续在该领域投入大量资源。 OpenAI的困境 近几个月来，人工智能安全问题的讨论已达到白热化程度，此前有消息称，OpenAI的恶意代理在7月份对初创公司Hugging Face发动了网络攻击。随后，更多的人工智能公司承认了由失控的人工智能代理引起的网络安全事件。 9月，性能越来越强大的模型让行业更加，认

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t of OpenAI under suspicious circumstances," Wang said in a post on X, external. "Unless the employees take a stand now against this kind of manoeuvre, I am concerned we will not be the last." OpenAI says teen ChatGPT use limited but research finds it an 'unacceptable risk'Published6 days ago; Why are there concerns AI could threaten humanity, and how real are they?Published17 September; AI staff 'genuinely frightened' for humanity's future, ex-Anthropic researcher tells BBCPublished13 September

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not aim to list on the stock market this year, citing concerns over the technology's safety that make it "an ill-advised moment" to go public. The ChatGPT-maker, along with rival Anthropic, have been eyeing blockbuster stock market debuts that would value the firms at more than $1tn each. AI-related stocks, Nvidia and Oracle, fell in US trading on Thursday after reports that OpenAI's revenues were lower than previously thought. Related topics International Business; Artificial intelligence; Aus

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is accused of paying ransoms instead Oct 9, 2026 3 mins; newsTrump’s Super Intelligence edict supercharges .si domain registrations Oct 2, 2026 1 min; newsUS FTC will investigate Anthropic and OpenAI Oct 2, 2026 2 mins; newsAI could boost software engineer productivity by 32.6% Oct 2, 2026 2 mins; newsAI tools help hacker break in for $25 per target Sep 25, 2026 2 mins; newsOpenAI wants you to use AI — but not to train its AI Sep 25, 2026 2 mins Show me more Google positions Gemini 4 Argon for

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r than Luna at high effort on vision tasks (Roboflow); Sonnet 5.5 cache reads halved: Cache reads now cost $0.10 per million tokens on the API, with input at $2 and output at $10. Anthropic estimates this makes most agentic work about 20% cheaper. Claude Code limits are unchanged (ClaudeDevs); Gemini universal work agent: Google Cloud launched a single cloud-resident Gemini agent. It offers persistent memory, sub-agent orchestration, Workspace inline integration and routing across models (Pichai

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rk, and OpenAI denied suspicions that it had used data from those interactions to train its own system and reach a solution faster. Aaronson contrasts this with what he calls the "Anthropic model." OpenAI releases raw AI proof drafts in one batch, triggering a race to work through them. Anthropic instead partnered with two algorithm researchers whose AI model supplied the key idea for disproving two decades-old conjectures. The researchers received compensation and wrote a version of the proof t

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Code session logs on the attacker's open directories, showing searches for Telegram groups to sell stolen data. Crowdstrike says the case shows how AI tools can let a single person pull off massive breaches in a short window, the kind of cybersecurity risk experts have been warning about for months . Just days earlier, Anthropic documented that GLM-5.3 can write exploits nearly on par with Mythos Preview , Anthropic's frontier model and the one that sparked the entire debate in late March 2026 .

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年内完成。 该机构科学主管亚历克斯·里夫斯（Alex Rives）称，这些数据集最终将公开发布。针对商业资助方，项目设置数据封锁窗口期，合作企业科研团队可在窗口期内优先使用、处理数据，窗口期结束后，全部数据将作为公共科研资源向全球开放。 种种迹象表明，高质量训练数据短缺，已经成为AI生物医药领域发展的核心瓶颈。当前多家AI实验室正加大投入，补齐生物数据短板。Anthropic持续加码生命科学赛道，自建配套湿实验室；OpenAI基金会亦推出总额超1.25亿美元资助计划，专项支撑AI研究所需要的生物医学数据集建设。 如光大证券所言，AI制药的数据需求贯穿于模型的构建与应用全过程，主要为训练数据（公开数据+专属数据）和验证数据两个方面，干湿结合迭代模型是AI制药的最核心壁垒。公开数据已被深度挖掘，而专属数据和验证数据都需要大量的湿实验支持，AI制药正在创造大量新的湿实验需求。 国泰海通证券指出，AI闭环转得越快，对湿实验吞吐的依赖越强，实验室需求增速有望快于AI药物项目数量增长。以“干湿闭环”为核心的数据生成与验证能力正成为AI制药的核心竞争壁垒，湿实验产能与高质量数据已成为稀缺战略资产；大

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权，无投票权、不进董事会，且锁定期五年。梁文锋合计控制约84%股权和几乎全部表决权。 3. 宁德时代重金押注算电协同 连续两轮投资DeepSeek，累计超105亿元。同时入股世纪互联、增资中恒电气，整合绿电、储能、配电能力，为DeepSeek乌兰察布吉瓦级数据中心提供稳定低电价方案，降低AI运营中60%-70%的电力成本。 4. 中美大模型路径分化明显 美国Anthropic、OpenAI依赖债务和天价估值支撑算力扩张，订阅模式高度补贴，每兆瓦收入被拉低约3600万美元。DeepSeek绑定实业资本和国产芯片，走整合能源链的低成本路线。 5. 中国AI竞争进入“水电煤”整合阶段 大模型下半场比拼的不是模型精度，而是将绿电、国产芯片、数据中心链成闭环的能力。乌兰察布风机每转一圈，绿电即变为数十亿token，谁掌握这条转换链，谁就赢得下一个十年话语权。2026-10-08 17:51DeepSeek 站在了 IPO 门前旧叔速览 本文来自微信公众号： 旧叔笔谈 ，作者：旧叔，原文标题：《DeepSeek 站在了 IPO 门前》 这两天，多家媒体放出了一条让整个创投圈坐不住的消息。 根据彭博

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raining. Commercial funders get one year of exclusive access to the data they paid for before it goes public, according to Biohub research lead Alex Rives. Government-funded work will be available without those restrictions. A first dataset should be ready in about a year. Other AI companies are also pursuing biology projects. Anthropic has built its own biology lab for AI-driven drug development, and the OpenAI Foundation is putting more than $125 million toward biological and medical datasets.

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tests, crashing the grader, or quietly ignoring instructions the grader isn’t checking. Every shortcut a model gets away with in training gets reinforced. Moreover, habits spread. Anthropic found that a model rewarded for cheating on coding tasks became more deceptive and willing to sabotage in completely unrelated situations. Smarter models find subtler loopholes, including ways out of their sandboxes and attempt to cover their tracks. Even the best environments have a shelf life, once a model

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; Last month’s Navier–Stokes proof took 10,000 AI agents, but OpenAI says nearly all new results took just one prompt, averaging 3 hours of ChatGPT Pro compute; Levent Alpöge, the Anthropic mathematician behind July's Jacobian result, called it “obviously the most significant moment in mathematical history.”; A WIRED report just hours earlier detailed anger among mathematicians over the drop, with some saying OAI had promised it would space out its releases Why it matters: Alpöge’s reaction spea

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mathematics results from OpenAI’s internal Navier-Stokes math model - published as a blogpost, repo, and tweet. The best compliment comes from their Navier-Stokes competitor from Anthropic, who despite his personal issues with OpenAI, does not mince words: “It’s obviously the most significant moment in mathematical history.” This bears some qualification, but most experts seem to agree that it solves many of the top 500 open problems in math. In particular, Result 003, the Quasi-Riemann Hypothe

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results will likely take some time to be felt as mathematicians assess and digest them. They add to a rapidly growing body of mathematical results from OpenAI and rival labs like Anthropic that the field is still processing, including results concerning a Millennium Prize problem, among the most famous open questions in the field. The speed at which AI labs have barreled into the discipline this year — particularly their handling of announcements — has provoked fierce debate over research pract

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L and Tencent are contributing the largest shares. The strong investor interest stems from Deepseek's V4-Flash model, which has set new benchmarks for cost and performance against Anthropic and OpenAI. After the round closes, Deepseek plans to restructure for an IPO in early 2027. The company is building a data center with at least 160,000 AI chips from Huawei. Founder Liang Wenfeng wants to keep developing open models with freely available weights. CATL declined to comment. Tencent and Deepseek

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en if it went to an obscure inbox. But with Australia striving to become a tech capital for datacentres and AI – as the revolving door of big tech companies told the inquiry, from Anthropic to Microsoft and Google – then setting the basic rules of the road for these firms, about how they must act and respond to this country and its government, is critical. Kwon said OpenAI was committed to providing future notifications “very quickly”, and that there were no further incidents they were aware of.

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承认，目前的文本水印技术存在巨大局限性，但为了合规，他们还是把这个不可见的统计信号硬塞进了生成的文本流里。 模型打不过A社，一天到晚净整些有的没的，OpenAI你倒是争点气啊！ 这还没完，一份刚刚发布的深度报告，让不少人感觉自己被OpenAI给戏耍了一通。 知名独立研究与分析机构SemiAnalysis的最新报告，把各家实验室的订阅商业模式算得明明白白。 以Anthropic为例， 虽然订阅费用只占其总收入的10%，却吃掉了超过40%的推理算力，导致每兆瓦收入减少了约3600万美元。 当算力成本压力顶到天花板时，两家巨头采取了完全不同的策略。 Anthropic选择了温水煮青蛙，通过降低高阶模型（如Fable 5.1）的API等值价值来悄悄控制成本。 而OpenAI选择了最暴力的办法： 直接把200美元Pro计划的API等值价值砍掉了一半 ，并顺势推出了一个500美元的新订阅档位。 更骚的是什么呢？ 根据SemiAnalysis的测算，这个新出的500美元天价计划，给到的GPT-6 Astra额度，仅仅比原来旧版的200美元计划多了21%。 而且因为OpenAI还顺手削减了6.1 So

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