AGI Frontier

AI Wiki

围绕持续变化的 AI 主题,汇总定义、近期信号、关键问题与可追溯来源。

主题知识页

14 个主题
  1. Simon Willison: AI Engineering Notes

    A people and opinions page collecting Simon Willison notes on models, tools, agents, and developer workflows。

    16 条来源
  2. Qwen Model Updates

    A topic page for Qwen model releases across language, image, translation, safety, and post-training updates。

    16 条来源
  3. Open Models Watch

    A tracking page for open-weight and open-source model releases, benchmarks, and ecosystem dynamics。

    16 条来源
  4. Model Context Protocol (MCP)

    MCP connects models, tools, data sources, and clients as a protocol layer for agentic systems。

    16 条来源
  5. Jason Liu: AI Engineering and Consulting

    A people and opinions page for Jason Liu writing on context engineering, RAG, structured outputs, and AI consulting。

    16 条来源
  6. Inference Serving

    Inference serving covers latency, throughput, batching, KV cache, routing, quantization, and cost for running models in production。

    16 条来源
  7. Context Engineering

    Context engineering is the practice of designing the information, tools, memory, and state an AI system receives。

    16 条来源
  8. Coding Agents

    Coding agents inspect repositories, edit files, run commands, call tools, and iterate toward software changes。

    16 条来源
  9. Claude Code and Coding Agents

    A product and workflow page for Claude Code, Codex, and adjacent coding-agent systems。

    16 条来源
  10. AI Safety, Risk, and Governance

    AI safety and governance covers frontier risk, monitoring, evaluation, policy, and risk management frameworks。

    16 条来源
  11. AI Infrastructure

    AI infrastructure covers inference, serving, routing, evaluation, observability, RAG, and hardware/data-center dependencies。

    16 条来源
  12. AI Browsers and Computer Use

    AI browsers and computer-use agents operate web pages, desktop apps, and visual interfaces through model-guided actions。

    16 条来源
  13. AI Agents

    AI agents are model-driven systems that plan, call tools, use memory, and iterate across multi-step tasks。

    16 条来源
  14. Agent Evals and Harnesses

    Agent evals measure long-running AI systems through tasks, environments, harnesses, traces, and failure analysis。

    16 条来源