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AI \u0026 LLM"],"sub_categories":[],"readme":"# God of GPT\n\n\u003e AI 信息导航站 — 每天从 OpenClaw 自动采集的数据中，筛出真正值得看的模型、Agent、AI 编程、基础设施、产品商业和研究信号。\n\n## 最新精选 Top 10\n\n- [AI Agent Benchmark \u0026 Evaluation OSWorld 2026-06-15](https://github.com/username/osworld-benchmark-2026) ⭐3 · 2026-06-15 — OSWorld谱系从模拟玩具进化到真实OS评测矩阵，2026年确立multi-agent CUA新范式\n- [On-Device LLM Deployment Edge Mobile 2026-06-14](https://arxiv.org/abs/2409.12345) ⭐5 · 2026-06-14 — 2026 on-device LLM 技术演进：量化谱系完整Sub-billion 架构革新NPU 协同时代\n- [Not everyone is using AI for everything](https://gabrielweinberg.com/p/people-are-consuming-ai-like-they) ⭐4 · 2026-06-14 — Weinberg：并非所有人都在用 AI 做所有事\n- [Rio de Janeiro's homegrown LLM appears to be a merge of an existing model](https://github.com/nex-agi/Nex-N2/issues/4) ⭐3 · 2026-06-14 — 里约的自研大模型被社区识破：实际是已有模型的合并\n- [Did Anthropic ask for this?](https://www.verysane.ai/p/did-anthropic-ask-for-this) ⭐3 · 2026-06-14 — verysane 评论：Anthropic 的近期动作是主动选择还是被动回应？\n- [高效注意力机制优化LLM计算效率](https://x.com/yudapeathree/status/20260613180222_002) ⭐4 · 2026-06-13 — 大语言模型计算效率优化新突破\n- [深度学习专家发布高效注意力算法研究](https://x.com/hardmaru/status/20260613180222_002) ⭐4 · 2026-06-13 — 动态稀疏注意力算法实现LLM加速\n- [为啥 Codex 还不推出类似 Codex Design 的产品？](https://baoyu.io/blog/2026-06-13/codex-design-model-gap) ⭐4 · 2026-06-13 — Codex 还没推出对标 Claude Design 的产品，关键卡在模型能力\n- [gpt55_release_2026_001](https://godofgpt.com/entry/b5f5f327/) ⭐4 · 2026-06-13 — 说明：OpenAI 发布页 openai.\n- [claude_opus_47_mythos_2026_001](https://godofgpt.com/entry/3d923e32/) ⭐4 · 2026-06-13 — Anthropic 于 2026 年 4 月 16 日正式发布最新模型 Claude Opus 4.\n\n## 频道导航\n\n| 频道 | 展示条目 | 说明 |\n|---|---:|---|\n| 模型与实验室 | 57 | GPT、Claude、Gemini、开源模型、模型能力边界。 |\n| Agent 与自动化 | 16 | Agent 框架、MCP、A2A、工具调用、长期任务。 |\n| AI 编程 | 12 | IDE、CLI、代码审查、工程工作流、开发者效率。 |\n| 基础设施 | 1 | 推理、RAG、微调、评测、多模态、芯片和端侧部署。 |\n| 产品与商业 | 9 | AI 产品、大厂战略、融资、监管、市场结构。 |\n| 研究与学习 | 5 | 论文、课程、提示工程、长文、方法论。 |\n| 工具与项目 | 37 | 可直接尝试的工具、开源项目、产品更新和资源库。 |\n\n## 当前数据\n\n- 原始条目: 840\n- 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