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I believe the majority still doesn't understand the momentous threshold humanity is facing. Anthropic itself states quite clearly that even if development ceased entirely, if all development were frozen, they would still witness massive societal changes: "Even if model capabilities were frozen at today’s level, we would expect major changes to occur in the world. (...) And we are still early in the diffusion of today’s models into the wider economy, where a 100-person company can increasingly do the work of a 1,000-person one, because each employee will sit atop a pyramid of agents." But there's no question of stagnation. Anthropic itself still maintains that development has exceeded its own internal assumptions. Take that statement seriously for a second and consider it. Although Anthropic models internally and assumes exponential development, even this trajectory lags behind actual development, which is even faster. "It's happening faster than we thought, and the implications deserve greater attention." and "The rate at which AI models improve is accelerating. The length of tasks that they can reliably complete on their own has been doubling roughly every four months, up from an earlier trend of doubling every seven months. In March 2024, Claude Opus 3 could complete software tasks that take humans about four minutes to complete. A year later, Claude Sonnet 3.7 managed tasks that took about an hour and a half. A year after that, Claude Opus 4.6 managed 12-hour tasks.1 If this trend holds, tasks that take a skilled person days could come into range this year. So again: there can be no question of standing still. The models are not only getting better, they can also work autonomously for longer. Certainly numerous breakthroughs are still needed, context window is still a problem. But the most likely direction is that the models themselves will find the solutions to the underlying problems. This opens up unforeseen possibilities, and Demis Hassabi's statement that the golden age of science is not a dream, not a utopia, but a purposeful reality, is now confirmed. And finally, it's not just Anthropic, but also OpenAI, that sees this development, considers it feasible, and is moving forward. Most people don't know what's coming. But one thing is certain: it's coming even faster than expected. And it will be even bigger. Myth was just the beginning.

Planning is where LLMs move from “saying” to “doing.” Tencent Hy, in collaboration with the Gaoling School of Artificial Intelligence at Renmin University of China, is excited to open-source PlanningBench - a scalable, verifiable framework for evaluating and training LLM planning capabilities. With PlanningBench, you get: ✅ 30+ real-world planning tasks ✅ Automated verification ✅ Evaluation and training support See how top-tier LLMs perform on PlanningBench 👇 Resources: arXiv: arxiv.org/abs/2605.20873 GitHub: github.com/Tencent-Hunyuan/P… HuggingFace: huggingface.co/datasets/tenc… #PlanningBench #TencentHunyuan #OpenSource 📷

here! latent.space/p/satya-2026

全网独家，YouMind全球首发X文章导入功能！ 解决了X文章的一个超级大痛点 不知道大家写X文章的时候，会不会遇到这样的问题 从别的地方写好复制粘贴 结果图片不能粘贴，字符块也不能保留 都得自己手动一个个重新粘贴 YouMind 黑科技彻底解决了这个卡点 每次至少为你节省10-30分钟的排版时间！ 至此，YouMind在X文章从创作到发布已经形成闭环 欢迎体验，欢迎留言 Video

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DGrid 🤝 @MiniMax_AI MiniMax M3 is now live on dgrid.ai. Enjoy 50% off through June 7th. ⚡️ With frontier coding performance, a 1M-token context window, and native multimodality, M3 is built for the next generation of #AI applications and autonomous agents.🫡 As AI-native products continue to evolve, they need both advanced model intelligence and reliable gateway infrastructure. #DGrid is proud to support MiniMax’s latest release and make its capabilities more accessible to developers and agents through our decentralized AI gateway.🚀 Looking forward to driving broader adoption of MiniMax models across the ecosystem.👀

说一下 guizang PPT Skills 还会继续更新啊。 得益于最近的几个赞助，可以找时间去更新第三套主题了，依旧非常惊艳。 同时，在小红书那个图文卡片部分积累的好经验，也会用到 PPT Skills 的新版里面。

Locally is now @lmstudio's mobile app, and we are bringing LM Link to your iPhone. Use your largest models from your phone, over a secure, end-to-end encrypted connection. Available on iPhone and iPad.

看了新晋亚洲首富孙正义 这个最新访谈睡不着了， 6 月 1 号他在巴黎接受CNBC 专访时透漏了很多未来的财富密码， 明确表示下一个万亿美元机会,是 Physical AI 和机器人。 以及这一波 AI 革命的规模, 大概率是互联网泡沫时代的 50 倍, 是人类经历过最大的一次技术与实现革命。 我看了一圈中文圈的反应, 绝大多数人都把这条当普通新闻刷过去了, 过去三年我们忙着教 AI 写代码、画图、聊天, 但下一个十年,AI很可能会从屏幕里走出来,站起来,迈出腿,动手做事。 也就是说, 我们现在练的所有 prompt 技巧、Agent 编排、内容生成等等本质上都还在无身体的 AI这一层。 未来真正决定下一代生产力地形的是有身体的那一层， 下面这几条,是我把这件事彻底想透之后, 给普通人能用上的一份认知和财富进阶地图 👇 Video

今日はPixVerseのseedance2.0で！ PixVerse上でキャンバス機能がお試しで使えるようになっていたので触ってみました✨ やっぱりストーリーボードから動画まで一貫して作れるのはいいね🎵 Seedance2.0 #pixverse @PixVerse_ Video

看了新晋亚洲首富孙正义 这个最新访谈睡不着了， 6 月 1 号他在巴黎接受CNBC 专访时透漏了很多未来的财富密码， 明确表示下一个万亿美元机会,是 Physical AI 和机器人。 以及这一波 AI 革命的规模, 大概率是互联网泡沫时代的 50 倍, 是人类经历过最大的一次技术与实现革命。 我看了一圈中文圈的反应, 绝大多数人都把这条当普通新闻刷过去了, 过去三年我们忙着教 AI 写代码、画图、聊天, 但下一个十年,AI很可能会从屏幕里走出来,站起来,迈出腿,动手做事。 也就是说, 我们现在练的所有 prompt 技巧、Agent 编排、内容生成等等本质上都还在无身体的 AI这一层。 未来真正决定下一代生产力地形的是有身体的那一层， 下面这几条,是我把这件事彻底想透之后, 给普通人能用上的一份认知和财富进阶地图 👇 Video

事实上，Codepilot 这种大型代码库 Vibe Coding 非常依赖于文档。 自从 Claude Code 的 Plan 模式废掉以后，我连计划写的都是计划文档，整个文档体系的复杂度和占代码的比例都在快速大幅上升。 所以，文档体系的管理，以及 AI 和人协作下的文档梳理，在整个大型代码库中其实是非常重要的。 我让 Codex 分析了一下 CodePilot 目前的文档体系，以及它跟代码之间的关系。 目前 CodePilot 里面有 26 万行代码和 5.6 万行文档，文档占代码的比例大约是 21%。 说一个事实： 从 CodePilot 的第一个版本到现在，我没有动过一行代码，因为现在确实看不懂了。 但目前基本上所有已知的 bug 我都能修复，所有想要实现的能力也都能实现。 这是当前 Vibe Coding 我自己的一个实践，也是我自己的一个上限。整个重构本来预期是两周，但实际持续了超过一个月零三周。

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CodePilot v0.55.0 正式版已经更新！ 重构完成的正式版： 多执行引擎（Claude Code / 自建 Native / OpenAI Codex）、上下文用量可视化、Codex 账号原生能力全部落地为稳定版，并集中修复了 macOS 视觉与托盘、Windows 安装与交互、服务商型号映射等内测反馈问题。 🆕新增功能 多执行引擎，可整体切换也可按会话切换 — 同一个应用里支持 Anthropic Claude Code、CodePilot 自建 Native、OpenAI Codex 三种执行引擎；可以设全局默认，也能在单个对话的输入框下方临时切换，互不影响。 上下文用量可视化 — 聊天里能实时看到本次对话占用了多少上下文、还剩多少，并按来源（系统提示 / 工作区规则 / 技能 / 记忆 / 工具 / MCP）分解，长对话不再"用着用着突然被截断也不知道为什么"。 OpenAI Codex 账号原生能力打通 — 用 Codex 账号登录后，助理记忆、Widget 可视化、定时任务 + 到点通知、Dashboard、CLI 工具这些内置能力在 Codex 引擎下也能用；接不了的能力会如实标注为不支持，而不是假装可用。

1/ 🔥 @NoPriorsPod x @LatentSpacePod chat with @SatyaNadella at @Microsoft Build. He has the sharpest mental models of any public company CEO I've interviewed. $MSFT is at its heart still a tools company! Big focus on agentic coding, harness & AI evals. Takeaways:👇