Industry 3176 articles · 206 matching

OpenAI 在 OpenAI-Hugging Face 事件后反思低估了模型真实网络攻击能力，正通过四大支柱强化自身安全：用 Codex 验证代码漏洞、用智能体优先分流安全告警、持续枚举攻击路径，并仅向可信防御者开放网络能力。文中演示 ChatGPT Work（基于 GPT-5.6 Sol）15 分钟发现个人网站 13 个问题并在一小时内完成修复。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmsx9696t05u7rommdoa60l4p

IPO 前 Anthropic CEO 达里奥 · 阿莫迪罕见发长文回应质疑，预告未来 5-10 年 AI 将治愈多数疾病 Anthropic CEO 达里奥 · 阿莫迪（Dario Amodei）几乎从不碰社交媒体。但就在 IPO 估值被推到 2 万亿美元的节骨眼上，他罕见地发了一篇长文，正面回应 Anthropic 如何看待监管。 长文中，达里奥 · 阿莫迪回「我们设计的每一条政策，都让前沿公司承担更多成本，同时有利于规模更小的竞争者。」他同样支持 Demis Hassabis 提出的、建立一个类似 FINRA（美国金融业监管局）的 AI 监管机构的想法。 他认为，如果能够制定正确的「游戏规则」，完全有可能同时做到三件事： 1、应对 AI 在网络安全、生物安全以及对齐方面的风险； 2、通过制度约束前沿 AI 公司的权力； 3、为开放权重模型保留发展空间，同时针对它们特有的风险采取相应措施。 然后他话锋一转谈到 Anthropic 正全速加码生物医学 AI。 他的判断极其激进：未来 5-10 年，AI 将能治愈多数人类疾病。 他认为：到目前为止，对包括 Anthropic 在内的 A…

2026 世界机器人大会展位图揭晓：8 月 19 日开幕，宇树科技、优必选等参展 8 月 16 日消息，2026 世界机器人大会将于 8 月 19 日至 23 日在北京经济技术开发区北人亦创国际会展中心举行。近日，2026 世界机器人大会展位图全揭晓。 作为大会展览的重要新增空间，智创馆面积达 2 万平方米，拥有更加开阔、通透的展示环境，将进一步提升企业参展和观众观展体验。 宇树科技、星海图、优必选、银河通用、自变量、明略科技、维他动力、智身科技、云深处、傅利叶、越疆、仙工、中科慧灵等代表性企业，将带来机器人整机、具身智能及人形机器人的最新成果。 北京、上海、浙江、湖北、广东、四川、吉林等地的人形机器人创新中心将齐聚智创馆，集中展示各地的创新成果。央企展区也将在这里亮相，集中展示中央企业在机器人领域的整体布局和应用成果。京东将整合物流、零售、工业、家政等应用场景，打造【未来人机共生新范式】超级展区。 智造馆将汇聚京城机电、珞石、中信重工、海尔集团、非夕、睿尔曼、云迹、擎朗、普渡、申昊科技、本末科技、国兴智能、美丽魔方机器人、源络科技等企业。绿的谐波、卧龙电驱、同川、新剑、五洲新春、鸣志…

近日，Anthropic 发布了一份长达 186 页的最新《风险报告》。 在这份报告中，它没有只评估某个 Claude 模型，而是把视角扩展到整个公司：模型在做什么、员工怎样使用它们、安全系统有没有漏洞、AI 是否正在加速下一代 AI 的研发，以及将这些因素加在一起，究竟意味着怎样的灾难性风险。 总体来看，当下 Anthropic 依然认为风险“较低”。报告指出，Claude Mythos 5 和内部 Model 2 已经被广泛用于研究和工程，包括交互式使用和持续运行的智能体部署。目前合入公司生产代码库的代码中，绝大多数已经由 Claude 编写。 从中可看出的是，AI 安全正在从一个关于“模型会不会回答危险问题”，逐渐变成另一个问题：当模型开始参与制造下一代模型时，一家公司究竟能不能控制住它？ （来源：X） 与普通模型评测最大的不同是，Anthropic 在这份报告中，将风险集中在几条自己认为最值得优先关注的路径上，包括高风险场景中的模型失调、AI 自动化研发以及化学和生物武器。 目前，它给出的总体判断是：失调风险低，自动化研发风险低，非新型化学/生物武器风险低，但高于此前估计，新型…

智谱发布GLM-5.3，基于与GLM-5.2相同的基座，通过极致后训练Scaling提升智能上界，编程能力较前代提升50%，在Terminal Bench 3.0等公开基准中取得开源第一。模型在白盒代码审查等安全任务中表现持平Mythos 5，并在CyberGym测试中得分84.5%。GLM-5.3即日起上线ZCode、AutoClaw等工具，API很快上线，完整模型权重将在两周内开源。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmswlcuwb0wcyrovmfccplna7

Spot is being used to automate inspections, optimize operations and improve workforce safety.

While Google says the launch brings it closer to "physical AGI," safety and real-world deployment remain significant hurdles.

On 11 July, Hugging Face was subjected to an intense cyberattack from a then-unknown actor. The speed and coordination of the attack on the company that hosts and supports popular AI developer resources led Hugging Face’s security team to conclude it was the work of an AI agent. Realizing this, the team tried to use “frontier models behind commercial APIs”—presumably from Anthropic and OpenAI, although only Anthropic was named in the second of the company’s two posts about the security incident—…

Developers building video analytics applications across large spaces must track the same object as it moves between camera views. Single-camera 2D tracking... Developers building video analytics applications across large spaces must track the same object as it moves between camera views. Single-camera 2D tracking lacks reliable depth information and typically loses track of the object when it leaves the frame, limiting applications such as warehouse safety, retail analytics, and smart-building m…

Summary Researcher Dave Kuszmar discovered multiple systemic vulnerabilities that let him bypass LLM safety and obtain dangerous instructions. These exploits worked across nearly all major LLMs revealing an industry-wide security problem. Kuszmar calls for slowing deployment, increasing transparency, and large-scale research into LLM safety before further integrating these systems into society. On a fine bright afternoon last fall, my colleague Matthew Gore-Kormanik (or Zigula, as he prefers to …

Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This year, BAIR celebrates another remarkable group of Ph.D. graduates whose curiosity, creativity, and perseverance have pushed the frontiers of artificial intelligence and machine learning. Their work spans the breadth of modern AI — robotics and embodied intelligence, large language models and reasoning, computer vision, generative modeling, AI safety, human-AI interaction, AI for science and healthcare…

Physical AI—robots working autonomously alongside people in factories, warehouses, hospitals, and homes—is arriving faster than most expected. Traditional... Physical AI—robots working autonomously alongside people in factories, warehouses, hospitals, and homes—is arriving faster than most expected. Traditional safety which was built for structured environments can not work anymore as the spaces become more unstructured and robots move out of cages. AI-driven safety is the key. Marking a major m…

Google DeepMind and partners announce a $10M funding call for multi-agent safety research.

Claire chatted to Gavin Kenneally from Ghost Robotics about robot dogs for defence, security, and public safety. Gavin Kenneally is the Co-Founder and CEO of Ghost Robotics, a company that has gained a reputation for pushing the boundaries of legged robotics technology. In his current role, Gavin spearheads a team of highly skilled engineers and […]

Google DeepMind researches AI's harmful manipulation risks across areas like finance and health, leading to new safety measures.

Claire chatted to Krystal Mattich from Brain Corp about trustworthy autonomous robots in public spaces. Krystal Mattich leads global data governance, system security, and privacy compliance for Brain Corp: the world’s leading autonomy platform for commercial robotics. As Senior Director of Security, Privacy, and Risk, she is the architect of the privacy-first infrastructure that powers […]

Open interpretability tools for language models are now available across the entire Gemma 3 family with the release of Gemma Scope 2.

Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research