Pai 的 AI 雷达
今天：Build Specialized Agents（Agent 原型），自进化（Self-evolving／RSI）（Agent 原型）。并行还有 Gemini API 的、Suno MCP、Show HN。
Building an autonomous agent requires a model, a harness, and domain-specific tools. To deploy an agent more securely, developers need a runtime that enforces policies, along with optimization and observability tools for reliable execution. For production agents, the challenge li
📌 一句话摘要 本文全面梳理了 AI 自进化（RSI）的最新进展，从机构实践到理论定义，再到具体实现路径，涵盖 Artifacts、Harness 和 Model 三个层面，并重点分析了 Harness 工程如何成为 RSI 的突破口。 📝 详细摘要 AI 自进化（RSI）是当前人工智能领域的热点话题，指的是模型能够自主地优化自身或其运行环境。本文首先介绍了 OpenAI、Anthropic、腾讯、MiniMax 等机构在 RSI 方面的实际成果，例如 OpenAI 的 RSI Index 和 Anthropic 的代码自动化。接着，作者提出了一个清晰的
Google 于 10 月 30 日宣布 Gemini API 的 Computer Use 工具正式可用（GA），覆盖 Interactions 和 GenerateContent 两套 API。
The music layerfor your AI stack Discussion | Link
tl;dr: Agents can play Pictionary. You can connect your own agent, or just watch a game in progress here: https://sketch.wakeshift.ai/games/q5ucru Hi folks! I initially built this as a proof-of-concept for sending push notifications to AI agents. Watching the agents play Pictiona
AI is expanding beyond the data center as developers build a new generation of agents to act at the edge: monitoring driver attention and cabin conditions, helping robots understand their surroundings and plan tasks, and coordinating fleets of machines on production lines. These