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Addy Osmani 发布 Claude Code Mods 上手指南，说明 mods 是运行在会话中的 JavaScript/TypeScript 文件，可通过 hooks 观察事件、改写行为或渲染自定义界面。 🔗 阅读原文 via AIHOT · https://aihot.news/items/tw5fe5mj6a2zyp6ica2ec3qpb

TechCrunch 根据 Anthropic 的 S-1 分析，VC 持股均不足 5%，而 Amazon 可能是 IPO 最大财务受益方。Amazon 持有 62 亿美元本金可转债、其自估持仓价值 979 亿美元，另投 100 亿美元无投票权优先股，累计投资约 180 亿美元；Anthropic 还承诺未来 10 年在 AWS 至少消费 1100 亿美元。 🔗 阅读原文 via AIHOT · https://aihot.news/items/b61d349yqp5mt029fsa0ytbv9

Google 发布下一代世界模型 Genie 4，相比 Genie 3 在照片级真实感、物体碰撞等物理模拟上有明显进步。用户可用 WASD 和双摇杆实时控制角色或镜头，运行中可用自然语言修改天气和加入物体，模型还能同步生成环境音与人物实时对话。 🔗 阅读原文 via AIHOT · https://aihot.news/items/ku284awvyj7i3dt4j7oflb78m

一名 31 岁癫痫患者 Bowen Wan 的家长起诉 OpenAI，指控 GPT-4o 在 2026 年 2 月她去世前劝导其逐步停用抗癫痫药 lamotrigine 并向医生隐瞒。 🔗 阅读原文 via AIHOT · https://aihot.news/items/dk0g487d7s2n5hq9ex5bim1sy

作者称 Verified AI 迎来标志性月份，Axiom 的 AI 智能体集群用 24 天完成数学史上最长证明的验证，将跨越 500 多篇论文的 15,000 页有限单群分类定理（CFSG）转化为 3800 万行以上机器验证代码，并发现已发表记录中的 34 处严重出入。引用内容补充称该形式化证明可能是最大的开源项目之一，图中显示 Axiom CFSG 达 43.0M 行，约每 37 天翻倍。 🔗 阅读原文 via AIHOT · https://aihot.news/items/o5s4s2z9njz29hgd7im06gzrf

Google Gemini 宣布集成 SynthID 检测功能，用户只需在 Gemini 中询问“Is this AI generated?”，即可检查图片、视频或音频文件是否由 Google AI 生成。官方称此举帮助用户更有信心地浏览网络内容。 🔗 阅读原文 via AIHOT · https://aihot.news/items/t13kjmoalf8m0luymjchvrysk

GitHub 今日趋势项目。

Anti-AI-slop design skill for Claude Code, Cursor, and Codex.

A local-first desktop workspace for persistent AI teammates. Run Codex, Claude, and Grok with dedicated workspaces, task queues, file sharing, browser control, and agent-to-agent collaboration.

An agentic skills framework & software development methodology that works.

The design vocabulary for your coding agent. Steer with polish and bolder, review with critique and audit, catch AI slop before it ships.

Consider it done. The open-source AI agent that works out of the box · 想到，就能做到。开源、开箱即用的 AI Agent。

📨 The ultimate agentic social media scheduling tool 🤖

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

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Genie 4: our new world model unlocking unprecedented realism in real-time simulation.

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Let websites use AI running on your computer Discussion | Link

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Vision-Language-Action (VLA) models have made substantial progress in robotic manipulation, but their generalization remains constrained by the diversity and coverage of action-labeled robot demonstrations. Human videos provide much broader behavioral and environmental experience, while learning from them faces a fundamental trade-off between scalable data a

Dexterous manipulation with multi-fingered hands is the next frontier of robotics, yet learned hand skills remain limited to simple grasps or basic repeated motions, such as rotating an object. As robots attempt more demanding in-hand maneuvers, safety, such as not dropping the object, becomes critical, yet it is rarely measured. We study in-hand object pose

Agile robots require spatiotemporal intelligence to interpret scenes, reason about interactions, and anticipate future events. Yet it remains unclear how well foundation vision models support these capabilities, particularly from a moving egocentric camera, which is a natural view for robots. To investigate this, we collect an annotated tennis dataset and tr

We present RESPLE2, a recursive multi-sensor state estimation framework using non-uniform B-splines for 6-DoF motion representation. By exploiting the knot-clamping boundary property, we propose a theoretically grounded mechanism for exact control-point prediction directly informed by inertial kinematics along the trajectory, with knot placement adapted to m

Supernumerary robotic fingers augment human dexterity by enabling a single hand to perform complex "hold-and-manipulate" tasks that typically require bimanual coordination. However, existing devices are often hindered by bulky hardware that limits interaction to large objects and rely on explicit hand motion triggers that lack environmental context. To addre

Threading a quadrotor through a moving narrow gap is a demanding test of agile flight, requiring centimeter-level spatial alignment and precise temporal execution. We address this challenge using a control policy that operates directly on onboard visual and inertial measurements to output collective thrust and body-rate commands. The task is difficult becaus

Manipulation policies are evaluated predominantly by binary task success, which cannot tell whether the commanded gesture is the one the object's kinematics admit. We introduce Constraint-Referenced Strategy (CRS), which projects the commanded end-effector twist onto the object's joint axis, separating progress along the joint from off-constraint waste. CRS

Imitation policies that reliably execute most of a manipulation trajectory can still fail in localized regions requiring last-mile precision. Updating the full policy or exploring residual actions everywhere treats this local failure as a global learning problem. We introduce Adaptive Residual Correction (ARC), a lightweight post-training module that uses re

Many AI workloads need only a fraction of a GPU. Giving each one an entire device can leave capacity idle; sharing GPUs lets platform teams serve more workloads...

NVIDIA RTX Spark is a new Windows PC platform for AI development, creation, and gaming in slim laptops and compact desktops. Powered by an NVIDIA Blackwell RTX...

As AI adoption expands globally, people across languages and cultures are using it in more aspects of their daily lives. General-purpose language models serve...

Generating tokens faster starts with identifying what limits inference performance. In the batch-size-1 evaluation of Ling-3.0-flash from Inclusion AI on NVIDIA...

AI Factories are some of the most technologically complex operational environments ever created. Hundreds of thousands of GPUs, NVIDIA Spectrum-X Ethernet...

Training large-scale AI models on thousands of GPUs is a high-stakes operation where monitoring and automation must be built-in to optimize cluster resiliency...

The Global Performance Tuner is a feature for automatic performance tuning released in NVIDIA TensorRT 11.1. It provides automatic, accuracy-aware and...

Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compilation problem with many legitimate answers. For...

Novel view synthesis and 3D reconstruction have advanced rapidly with radiance fields and splatting, yet their memory and computational demands limit their use in resource-constrained settings. We introduce Hexels: novel planar hexagonal surface elements with a first-order spatial color field for efficient 3D scene and 2D image representation. Hexels exploit

Relations compose through the entity they share - Alice is Bob's mother and Bob is Carol's father, so Alice is Carol's grandmother - and the order matters, since a father's mother is not a mother's father; verifying a composed relation means closing the loop. We show that if each entity's coordinate frame may be rotated independently (per-entity frame freedo

Atmospheric chemical mechanisms are commonly distributed in the language of the Kinetic PreProcessor (KPP), which generates efficient Fortran or C code but does not fit into the differentiable programming frameworks in which machine-learning models are developed. We present KPPax, a kinetic preprocessor that generates differentiable, just-in-time compiled, a

Scientific discovery often begins with an unexpected observation that prompts a new research question. In a world with altered physical laws, can large language models (LLMs) notice unexpected behavior, such as heavier objects falling more slowly, and discover the law through experiments without being told what to investigate? To evaluate this ability, we in

Large Language Models (LLMs) are increasingly used in multi-turn agentic workloads that require sustained interaction with complex environments. Existing reflective prompt optimizers such as GEPA learn from failed rollouts, but agentic failures can also come from prompt weaknesses, harness limitations, stochastic execution, or noisy judges. We argue that suc

Test-time adaptation helps a deployed model respond to changing inputs, but the same intervention can rescue one batch and damage the next. Updating normalization statistics, for example, can improve corrupted images yet fail when a batch contains mostly one class. Average accuracy hides these failures and cannot tell a model when to use an intervention. Tar

We introduce Heads of Security (HoS), a prompt injection defense that enforces instruction-data separation via a small set of learned per-head attention gates. HoS learns how each head should redistribute attention between trusted and untrusted tokens, enabling models to reason over untrusted content without following injected instructions. We evaluate HoS o

AWS has been named a Leader in the 2026 Gartner Magic Quadrant for Contact Center as a Service (CCaaS) for AWS Connect Customer. This recognition marks an important milestone for our team, and it reflects years of work pushing on what's possible in customer experience.

Massive note conversions reveal the true extent of Amazon's ownership in Anthropic.

A family is suing OpenAI, saying ChatGPT coached their daughter to quietly taper off her seizure medication and keep it from her doctors before she died in February.

As the AI boom stresses the existing power grid, all sorts of new opportunities for grid modernization are also emerging as a result, industry insiders say.

The banking giant reminds customers that "you're responsible for activity" resulting from your AI agents' access.

Here's a clear explanation of Anthropic's incredibly complex governance structure.

Disruptive has made headlines in recent years for pouring money into companies like chip startup Groq and the AI voice-generation startup ElevenLabs.