Pai 的 AI 雷达
含近几日仍热话题,按时间衰减排序。今天先看 Claude for Small Business launches new workflows, integrations, and training programs,其次 Mintplex-Labs/anything-llm。并行还有 beenuar/AiSOC、Is z.ai shipping a different ZCode client than the source?。
Most tools give you a fixed set of screens and ask you to fit your work into them. But what if you could start with the workflow you want instead and have the interface take shape around it? That’s the idea behind canvases in the GitHub Copilot app . A canvas, also called a canva
Agentic autofix now uses Copilot Memory for customers who’ve enabled it. When you use agentic autofix, it reviews existing memories for context that can help resolve security alerts. When it creates a fix, it stores the fix pattern as a memory for future use. These memories can h
GitHub Copilot in Slack and Microsoft Teams now gives you more context, more control, and a clearer path from conversation to GitHub work. Whether you’re sharing files in Slack or images and forwarded messages in Teams, Copilot can use more of the context already in your conversa
We’re introducing a new global default policy for generally available GitHub Copilot features and supported client capabilities in enterprise and organization Copilot settings. For the next 28 days, you can configure this policy, but it won’t affect feature access for your users
GitHub Security Lab 的 Antonio Morales 开源了基于 Taskflow Agent 的 Fuzzing Taskflow,指向 GitHub 仓库即可自动识别入口点、编写 harness、运行 AFL++、读取覆盖报告并分诊崩溃。
arXiv:2609.28963v1 Announce Type: new Abstract: Group-based reinforcement learning (RL) methods, such as GRPO and its variants, have become a leading paradigm for training reasoning and agentic large language models (LLMs). While their group-normalized advantage estimation is rel
arXiv:2609.30147v1 Announce Type: new Abstract: Large Language Models (LLMs) typically exhibit a performance profile where reliability degrades as task complexity increases. We address the challenge of generating high-quality natural language executable plans for complex tasks by
arXiv:2609.26760v2 Announce Type: replace Abstract: Large language model (LLM) agents often handle streams of related tasks, yet standard harnesses repeatedly ask the model to reconstruct the same control decisions inside each task's context. We study whether task feedback can in
arXiv:2609.25176v2 Announce Type: replace-cross Abstract: Real-time voice assistants must reason over evolving requests, execute actions, and follow conversational rules. Qwen-Audio-3.1-Realtime brings these requirements together through Think, Act, and Speak and Coordinate. Thin
arXiv:2609.13422v2 Announce Type: replace Abstract: LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for complex professional work remains unclear. We study this problem through Vibe Patenting, an end-to-end patent-drafting test
arXiv:2609.29095v1 Announce Type: cross Abstract: When a tool-using agent's write times out or returns a server error, the action may already have taken effect. Retrying blindly duplicates it -- a second charge, a second announcement, a second deployment -- while giving up skips