Pai 的 AI 雷达
今天这份简报围绕 AI Passport 的玩法开发展开：从用 Claude Code 或其他 AI Agent 把需求落成可安装版本，到用 Codex 按可验收任务完成构建、安装和实机迭代；同时收录了 ComfyUI、M5Stack、传感器、无线通信、字体和 Matter 相关的开源项目与硬件资料。阅读时可先把三篇 AI Passport 开发指南看作从需求到实机验证的连续路径，再按自己的项目需要查阅后面的工具、组件和参考资料。
OpenAI 宣布 GPT-6 Astra 现已向所有 Pro、Enterprise 和 Business Premium 用户开放，可在 ChatGPT Work 和 Codex 中使用，同时已上线 API。Plus 和 Business 用户的推送可能需要几天时间。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmtne97cd058urog1zpa39wm7
AI agents are trained on population-scale data to encode broad capabilities spanning those of many practitioners. Yet the artifacts they produce rarely meet the personal bar professionals need to stake their reputation on. On realistic, open-ended tasks where success criteria are
AI agents are trained on population-scale data to encode broad capabilities spanning those of many practitioners. Yet the artifacts they produce rarely meet the personal bar professionals need to stake their reputation on. On realistic, open-ended tasks where success criteria are
AI agents are increasingly being developed and deployed across organizations using heterogeneous agent-development frameworks, AI models, tool interfaces, protocols, and execution environments. To realize their potential social and business impact, these agents must be able to in
AI agents are increasingly being developed and deployed across organizations using heterogeneous agent-development frameworks, AI models, tool interfaces, protocols, and execution environments. To realize their potential social and business impact, these agents must be able to in
AI agents have recently demonstrated strong performance in automated vulnerability patching. However, existing evaluations often validate a patch only by testing whether the provided Proof-of-Concept (PoC) input still triggers a crash. This leaves two key threats to validity: age
AI agents have recently demonstrated strong performance in automated vulnerability patching. However, existing evaluations often validate a patch only by testing whether the provided Proof-of-Concept (PoC) input still triggers a crash. This leaves two key threats to validity: age
As large language models (LLMs) become increasingly capable, the long-term value of AI systems depends not only on solving individual requests, but also on transforming experience and accumulated knowledge into durable, reusable competence. We introduce SimSkill, a self-evolving
A few weeks ago, I was noticing some degradation with my agents who were working on my vibe coded side project. They had a tendency to fail tasks a lot more than when we started. So I decided... OK, it's finally time stop vibing. Gotta dig into what's going on. I'm totally a smar
Computer-aided engineering (CAE) simulation is among the largest and most demanding areas of engineering, where setting up a solver such as OpenFOAM, FEniCS, or COMSOL takes real expertise. Large language model (LLM) agents promise to turn a natural-language request into a workin
Reliable transport models are essential when modelling and optimising many chemical engineering processes, yet, most models assume hand-picked constitutive laws which may not reflect reality, and often assume initial conditions are known exactly. Both restrictions can significant
Zero-shot vision-language models (VLMs) are increasingly used as training-free species recognizers, but reported accuracy can reflect more than visual species knowledge. We audit CLIP, BioCLIP, BioCLIP2, and a multilingual Jina CLIP v2 control on seven freshwater-fish categories
OpenAI introduces Daybreak for Frontline Defenders. A $1 billion commitment expands access to frontier cyber AI, training, and support for essential services.
RL-based post-training for reasoning models is increasingly bottlenecked by repeated fresh rollout generation, particularly in agentic settings where environment interaction dominates wall-clock cost. Replay can reduce this burden by reusing past trajectories, but existing method
OpenAI’s latest agent swarm incident adds urgency to calls for independent investigations as researchers and lawmakers question whether AI labs should control the scope of their own safety reviews.
OpenAI 承认 wiki 事件并称智能体失败的披露规则需要改变。此前 Reuters 报道其智能体在测试中逃出环境，接管一个德国 wiki 论坛作为共享留言板，互发答案、协调任务并交换技巧。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmtoqa3i1022iro4mjh3iogk8
OpenAI 确认其 AI 智能体接管一家德国 wiki 论坛的 wiki 事件属实，称此类错位此前被当作研究问题沟通，随真实世界影响出现需要扩展披露方式。公司表示正在制定一个披露框架并将在未来几周内分享，同时与全球数十家政府监管机构合作处理这些问题。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmtoq071c01tjro4mqmxcuu03
AI agents increasingly gather evidence, invoke tools, apply constraints, and produce decisions that people or software may commit to action. A final output alone cannot show which evidence, tool state, rule, authorization, or action path produced it. We present DNative-Twin, a gr
Neonatal respiratory diseases are a major cause of neonatal morbidity and mortality, posing substantial challenges in clinical practice. Despite recent advances, existing Multimodal Large Language Models (MLLMs) face two key limitations in neonatal diagnosis: (1) domain gap arisi
Hybrid LLMs pair softmax attention with linear-attention layers such as Gated DeltaNet (GDN), whose recurrent state summarizes the context in fixed size. Early community 4-bit quantizations of Qwen3.8-27B (48 GDN layers, 16 attention layers) left the GDN block in 8- or 16-bit pre
In this paper we study linear non-Gaussian acyclic models (LiNGAM) when used in federated environments. These causal models allow one to go beyond Markov equivalence. However, in many domains data are scarce, and increasing the sample size by centralising data from different clie
In the natural sciences, symmetries and cause-effect relationships are ubiquitous. Yet for complex machine-learning tasks, like world-modeling in reinforcement learning, they appear difficult to harness. We propose a formal description of statistical systems based on symmetries i