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🚨BREAKING: Claude is officially a NATIONAL SECURITY THREAT and is BLACKLISTED from the ENTIRE defense supply chain >anthropic: no autonomous weapons, no mass surveillance, no exceptions >pentagon blacklists claude as an active national security threat >anthropic sues Federal court ruled 2–1 AGAINST Anthropic: "As Anthropic admits, the company encodes restrictions into Claude that prevent the model from performing tasks that Anthropic wishes to prevent." "On more than one occasion, these restrictions have stopped Claude from performing tasks requested by government users": >refused to perform "tasks that were appropriate in a national security context" >refused CDC queries on infectious disease prevention research >anthropic questioned claude's use in the military operations "Anthropic's Chief Science Officer explained how the company 'seek[s] to embed safety considerations directly into the model itself.'" "[Anthropic's] CEO explained how such training gives the model an 'identity, character, values, and personality' of its own, tethered to a 'constitution' developed to impose 'high-level principles and values' on Claude itself." "We have no reason to doubt that Anthropic manipulates Claude's function with noble intentions... BUT the statutory definition of a 'supply chain risk' turns on what Anthropic does, not why Anthropic does it." "In our Republic, it is the President and the Secretary of War who must determine how best to balance the competing risks. In doing so here, the Secretary DID NOT transgress any limits on his authority." ITS OVER. ANTHROPIC IPO IN SHAMBLES

Super happy to release SmolDataEnvs: 5,000 verifiable RL environment tasks for hill-climbing small models in code and data science by @adithya_s_k 100% open source: environments, evals, training!

Four crew members from three space agencies will launch to the @Space_Station no earlier than spring 2027 for a long-duration science expedition as part of NASA’s SpaceX Crew-14 mission. NASA astronauts Kayla Barron and Chris Birch will serve as spacecraft commander and pilot, with JAXA (Japan Aerospace Exploration Agency) astronaut Makoto Suwa, and Roscosmos cosmonaut Arutyun Kiviryan as mission specialists Learn more:

一个思考：AI 模型的分水岭已经出现！大家要的不是最强的智能，而是最适合自己场景的智能 👀 过去一年，代码生成帮模型公司完成了能力跃迁。接下来，智能体应用正在分化出五个方向：个人便利、个人生产力、企业协作、娱乐生成、科研前沿。娱乐拼的是规模，它争夺所有人的时间；企业拼的是利润，它替代的是人类劳动。 Meta 的 Muse 给大众做了一次便利性的市场教育；Claude Code 证明了代码就是生产力，今年它和 ChatGPT 在企业市场已经打到白热化；字节的 Seedance 和红果短剧，让娱乐生成露出了端倪，这才刚刚开始。 不同玩家，会走不同的路。有终端渠道的公司主攻个人便利，因为用户不会为日常智能多付钱，谁便宜好用就用谁，赚钱靠平台，赢靠心智和流量。企业和专业生产力永远是利润最高的战场，全球知识劳动者一年的薪酬是三十多万亿美元，没有哪家前沿实验室会放手。 最值得关注的是科研前沿：模型公司不会卖科研模型，而是直接交付结果！ Isomorphic Labs 不卖 AlphaFold，直接给礼来和诺华设计分子，拿预付款、里程碑和销售分成；Lila Sciences 建“AI 科学工厂”，成果交给合作伙伴和孵化公司落地；Periodic Labs 更彻底，由 ChatGPT 的共同创造者和谷歌材料发现团队的负责人联手创办，用 AI 加自动化实验室直接去找新材料、新超导体，种子轮就拿了 3 亿美元，现在估值 75 亿美元，资本押注的就是“发现本身”的价值。不过 OpenAI 也坐不住了，CFO 在达沃斯直言：别人用它的技术研发出新药，它要分一份利润，从“卖工具”转向“分利润”。 但这里有个关键区别：愿意亲自下场、共担风险、交付成果的公司，产业会接受；只卖工具、却想事后分成的，药企和大机构很难买单。第一批 AI 设计的药物能否走完临床，会决定“模型公司即研发公司”这条第二增长曲线能不能跑通 🤔

After years of research, Project Suncatcher is scheduled to embark on its first test in orbit, launching a prototype satellite to evaluate how Google Tensor Processing Units (TPUs) perform in space. Learn more about the science behind this moonshot. ⬇️

我建议大家除了多刷X、Youtube看一手信息，优质论文也要多看，在 AI 辅助下，看这些内容已经没什么门槛了。 我一个非科研狗，用 ScienceBuddy 也能轻松看论文了。 现在我经常凌晨两三点，甚至四点才睡觉，早上十点、十一点才起床。 家里人也多次让我早点睡，我自己其实也想。但试过好几次，一想早睡就睡不着，然后又得折腾到天亮，反而睡得更不好。 于是我就想着，关于睡眠，有没有什么科学的做法，能帮我解决这个问题？ 最近 Anthropic 也分享了 Claude 优化生物领域模型代码的进展，AI 已经开始参与一些具体的科研工作了。 ScienceBuddy 背后的团队 @PhAILabs 也开源了 ScienceIDE，把多个领域的真实科研代码整理成任务，让 AI 练习修复代码，再检查算出来的结果能不能对得上。 正好这次受邀尝试 PhAI Labs 的 ScienceBuddy，一个目前免费的 AI 科研工作台，我就想拿自己的睡眠问题试试，看看它能不能帮我解读相关论文。 于是我找了三份睡眠相关的论文和指南，上传到了 ScienceBuddy，让它帮我解读，再把里面的研究结果、适用条件和原文出处整理成一张表。看完有不明白的，就继续追着接着问，让它补查一些研究内容。 它整理出来的结果里提到，晚睡不一定就等于不健康，还得看睡眠时长够不够、作息是不是规律。 哎，看完结果，我感觉心情好多了，至少缓解了一部分焦虑。因为我不用光盯着自己几点睡，还可以先想办法把睡眠时间保证好。 另一个让我印象比较深的，就是它整理出来的调整思路：想调整作息，得先保证足够的总睡眠。 我现在是自由职业，时间还算自由，晚睡了可以安排晚一点起，睡够了，白天才有精神头。我准备先把睡眠时间保证好，再逐步把作息稳定下来，往前挪一挪。 平时碰到这种问题，我可能就搜搜 Google，或者直接问 AI，但查完之后，还得自己去判断这些信息靠不靠谱。 我觉得用 ScienceBuddy 比较方便的地方，就是能帮我解读这些英文论文，而且它生成的结果能够追溯到原文的具体位置。这样就更方便判断，AI 到底是在编胡话，还是确实有所依据。 这次核对时也发现，个别页码标得不准。不过它把要看的材料和对应的结论整理到一起了，确实省了不少来回翻找的工夫。 做生物医学研究，或者经常需要整理这类文献的朋友，可以试试。目前免费，浏览器打开就能用： #ScienceBuddy# #PhAILabs# #AIforScience#

Introducing ScienceBuddy — a free workspace for scientific agents that improve through researcher collaboration. Use GPT-6 in ScienceBuddy at no cost. GPU-accelerated, and fused with the JEV framework. 🧵 Two loops: 🔹 Inner loop — refines the agent harness 🔹 Outer loop — trains the model with rubric-guided RL Together: Recursive-in-Recursive Self-Improvement. ScienceBuddy explores how scientific agents can improve through sustained collaboration with researchers. 🔬Try it free: #ScienceBuddy# #PhAILabs# #AI4Science#