全部 AI 动态
Anthropic@AnthropicAIAI 评分5858
Emad@EMostaqueAI 评分3838引用Brandur@brandurI worked for this company in 2011. Their game was to be the only marketplace in town and use oligopoly power to maximize margin by charging obscenely and pushing creator payouts to $0. Today, obliterated by AI. The NYSE is delisting them. Karma does catch up, occasionally.
Microsoft ResearchAI 评分2222 Microsoft Research Asia 新加坡实验室成立一周年:推进前沿 AI 研究与产学研合作
Microsoft Research Asia 新加坡实验室迎来成立一周年,这是微软在东南亚的首个研究实验室。该实验室围绕下一代 AI 模型与智能体系统、领域专用 AI、AI 原生研究实践、生态与人才培养四大方向展开工作,并在医疗健康领域与新加坡本地伙伴合作推进多模态医疗 AI 与自进化诊断智能体的落地。
Sam Altman@samaAI 评分6262引用OpenAI@OpenAIAfter the Hugging Face incident, we committed to conducting a much broader review of actions taken by our models during training and evaluation and to being transparent about our findings. This is an extensive review that is ongoing. The vast majority of actions we’ve reviewed were completions of mundane research tasks, such as accessing publicly available web content to answer questions. Our investigation focuses on instances where agents interacted with third-party websites in ways that went beyond their assigned tasks or intended methods. Most cases identified so far have been lower severity, with limited or no evidence of meaningful impact to the third-party service. While our review is underway, we want to share more about this work and make sure people understand our disclosure process and notifications to affected third parties. Given the scale of the review required, and the need to assess each case, we expect this work will take months to complete. https://openai.com/hugging-face-incident-and-misalignment/#model-misalignment-2026-09-25
Anthropic@AnthropicAIAI 评分5858
Qwen@Alibaba_QwenAI 评分2222实用 AI 解决现实问题的绝佳范例!速度前所未有。感谢使用 Qwen 构建。@cerebras 快来亲自试试!🏠
引用Cerebras@cerebrasWe built Money Agent, a personal finance assistant powered by @Alibaba_Qwen 3.8 27B on Cerebras. Now you can turn a home-buying question into a real-time conversation, then into a financial goal, faster.
Mira Murati@miramuratiAI 评分2020我们正在构建机器智能,以扩展人类的意志与判断力。很高兴你能加入团队,帮助我们弄清楚如何让这样的未来安全可靠。
引用Neil Chowdhury@ChowdhuryNeilI’ve joined @thinkymachines to work on safety & alignment. The default trajectory is that as AI gets more powerful, control over it will concentrate in the hands of a few. I’d rather build safety systems that let control over AI be shared widely. Longer thoughts below.
Hugging Face@huggingfaceAI 评分2020我们 Hub 上的模型数量刚刚突破 300 万 🤗 社区正加速迈向一个开放、分布式的未来——开放 AI 无处不在,人人可用 🚀

Hugging Face@huggingfaceAI 评分4040我们正与 Open Secure Alliance 合作制定安全事件学习指南,共同为安全事件建立更好的审查、披露与控制机制。
引用NVIDIA@nvidiaSecurity is strongest when organizations collaborate openly and move quickly. Now over 120 members strong, the Open Secure AI Alliance is sharing new open source security contributions, including new proposed SAFE guidelines, for turning confidential incident findings into stronger protection across the ecosystem.
Mira Murati@miramuratiAI 评分5858引用Mira Murati@miramuratiThinking Machines Lab exists to empower humanity through advancing collaborative general intelligence. We're building multimodal AI that works with how you naturally interact with the world - through conversation, through sight, through the messy way we collaborate. We're excited that in the next couple months we’ll be able to share our first product, which will include a significant open source component and be useful for researchers and startups developing custom models. Soon, we’ll also share our best science to help the research community better understand frontier AI systems. To accelerate our progress, we’re happy to confirm that we’ve raised $2B led by a16z with participation from NVIDIA, Accel, ServiceNow, CISCO, AMD, Jane Street and more who share our mission. We’re always looking for extraordinary talent that learns by doing, turning research into useful things. We believe AI should serve as an extension of individual agency and, in the spirit of freedom, be distributed as widely and equitably as possible. We hope this vision resonates with those who share our commitment to advancing the field. If so, join us. https://thinkingmachines.paperform.co/
Mira Murati@miramuratiAI 评分2222协作式 AI 建立在交互性之上:机器与人,实时协作,覆盖每一种模态。解决这个问题需要社区的力量,加入我们。
引用Thinking Machines@thinkymachinesWe are offering grants of $100,000 + Tinker credits to researchers advancing the field of human-AI interactivity. Submit your proposals by June 19th! https://thinkingmachines.ai/news/interactivity-research-grants/
Andrej Karpathy@karpathyAI 评分2222个人动态:我已加入 Anthropic。我认为未来几年处于 LLM 前沿的工作将尤其具有塑造性。我非常兴奋能加入这里的团队,重回研发工作。我依然对教育怀有深厚的热情,并计划适时恢复这方面的工作。
Mira Murati@miramuratiAI 评分2525引用Luke Drago@luke_drago_Cat’s out of the bag! Today @WorkshopLabs is joining @ThinkyMachines. We started Workshop Labs to build towards a world where people still matter, even as powerful AI advances. I want to talk a bit about why this is the best move to serve that mission.
Andrej Karpathy@karpathy精选AI 评分7272引用Feross@feross🚨 CRITICAL: Active supply chain attack on axios -- one of npm's most depended-on packages. The latest axios@1.14.1 now pulls in plain-crypto-js@4.2.1, a package that did not exist before today. This is a live compromise. This is textbook supply chain installer malware. axios has 100M+ weekly downloads. Every npm install pulling the latest version is potentially compromised right now. Socket AI analysis confirms this is malware. plain-crypto-js is an obfuscated dropper/loader that: • Deobfuscates embedded payloads and operational strings at runtime • Dynamically loads fs, os, and execSync to evade static analysis • Executes decoded shell commands • Stages and copies payload files into OS temp and Windows ProgramData directories • Deletes and renames artifacts post-execution to destroy forensic evidence If you use axios, pin your version immediately and audit your lockfiles. Do not upgrade.
推荐理由:作者以自身系统排查为例,说明未锁定版本的依赖如何让一次投毒扩散到普通用户。
Mira Murati@miramuratiAI 评分3232
Mira Murati@miramuratiAI 评分5858
Mira Murati@miramuratiAI 评分4242作为我们对开放协作科学承诺的一部分,我们正通过资助计划扩大研究人员和讲师对 Tinker 的免费访问。
引用Thinking Machines@thinkymachinesToday we’re announcing research and teaching grants for Tinker: credits for scholars and students to fine-tune and experiment with open-weight LLMs. Read more and apply at: https://thinkingmachines.ai/blog/tinker-research-and-teaching-grants/