tmax

[tmax @Ting788066]

@FuSheng_0306 本质还是 coding

[tmax @Ting788066]

@FuSheng_0306 remotion 不是早就有了吗

[tmax @Ting788066]

@qisiyuanovo 家人呢？没教吗

[tmax @Ting788066]

@yMgz7Q772Ju4opQ dd

[Anthropic @AnthropicAI]

We've published a paper that explains our views on AI competition between the US and China.

The US and democratic allies hold the lead in frontier AI today. Read more on what it’ll take to keep that lead: https://t.co/TgJBeodWYK

[Sanbu 散步 @sanbuphy]

花了段时间写了 RL 教程 Hands-On Modern RL，路线是从 CartPole + PPO 入门，然后到 LLM 后训练（RLHF、DPO、GRPO）、Agentic RL。代码先行，公式用来解释现象。英文版很快更新。
目前是草稿版本，RLHF、Agentic RL 部分本地审校中。
欢迎提 PR 或 Issue & 显卡支持：https://t.co/PtgSByY96U

[Yoonho Lee @yoonholeee]

How can we autonomously improve LLM harnesses on problems humans are actively working on?

Doing so requires solving a hard, long-horizon credit-assignment problem over all prior code, traces, and scores.

Announcing Meta-Harness: a method for optimizing harnesses end-to-end

[Ring Hyacinth @ring_hyacinth]

给自己做了一个分镜拓展小工具。

上传一个分镜，可以一键拓展出 8 个有趣的相关分镜，最近自用复用率很高，很适合 brainstorm 分镜想法！

背后的分镜拓展逻辑是自己写的 skill，画布爆炸前端是用 Codex 写的，接的自己的 Gemini api.

随着编程变得越来越简单，可能一些常用小工具创作者会自己给自己做了，那洞察自己真的需要什么就变得越来越重要，不是我去适应工具，而是我到底需要什么工具 🤔

如果大家也需要的话，我会考虑开源！

[Gorden Sun @Gorden_Sun]

阿里开源OpenSandbox：面向AI应用的通用沙箱��台
可以为Agent运行提供沙箱环境，提供多语言SDK + 统一API + Docker/Kubernetes运行，集成Chrome无头浏览器、Playwright自动化，支持运行Claude Code、Gemini CLI、Codex CLI等Agent，基本开箱即用。
Github：https://t.co/PBbwMnyKhh

[Viv @Vtrivedy10]

https://t.co/Lb2gtM9SNs

[Tongyi Lab @Ali_TongyiLab]

1/4 We are thrilled to announce that CoPaw is now open source! After an incredible wave of feedback, our team has completely overhauled the engine to give you full control over your personal AI partner.
Key Highlights:
Ultimate Model Freedom
Local-First: Full native support for Ollama, llama.cpp, and MLX (Apple Silicon).
Bring Your Own Model: Easily add/remove custom model providers or private API endpoints. Your data, your choice.
Smarter Long-Term Memory
No more "amnesia." CoPaw remembers your preferences and tasks.
New Local Mode: Use vector search without complex database installs—now fully compatible with Windows for an out-of-the-box experience.
Modular "Lego-Like" Architecture
Skill Hub Integration: Import skills from community hubs like ClawHub with one command.
Agentic Workflow: Modularized Prompts, Hooks, and Tools. Supports MCP (Model Context Protocol) hot-swapping—expand capabilities without restarting.
Proactive Multi-Channel Connection
Connect to DingTalk, Feishu, Discord, iMessage, and more.
A new standardized protocol makes it easier than ever to build your own channel plugins.

[Muratcan Koylan @muratcan]

https://t.co/7kZ0k7nbxI

[Stefano Ermon @StefanoErmon]

Mercury 2 is live 🚀🚀

The world’s first reasoning diffusion LLM, delivering 5x faster performance than leading speed-optimized LLMs.

Watching the team turn years of research into a real product never gets old, and I’m incredibly proud of what we’ve built.

We’re just getting started on what diffusion can do for language.

[Stephen Haney @stephenhaney]

Hello!

Today we're releasing Paper Desktop

Paper is now a canvas for Cursor, Claude Code, Codex. Any agent can read and write html to Paper.

• push or pull from your codebase
• pull real data from anywhere
• less work, more design

What will you ship? Sound on 🎶

[tmax @Ting788066]

@OpenAIDevs your model is too slow

[Anthropic @AnthropicAI]

New Engineering blog: We tasked Opus 4.6 using agent teams to build a C compiler. Then we (mostly) walked away. Two weeks later, it worked on the Linux kernel.

Here's what it taught us about the future of autonomous software development.

Read more: https://t.co/htX0wl4wIf

[yibie @yibie]

https://t.co/dMJKDykWMT

[Ruifeng @liruifengv]

玩过 OpenClaw 的应该都会感觉到龙虾的拟人化特别强，好像有自我意识，并且能自我进化。

今天这篇文章聊一下 OpenClaw 的提示词，这套提示词写得真好，他让 Agent 不再是一个工具，而是想赋予他独立人格，真正的变成人类的伙伴。

强烈推荐学 Agent 开发的都��学习一下。

https://t.co/Y8pR0K8sIq

[elvis @omarsar0]

Excited to release my new Image Generator skill.

It's an effective way to improve image generation using coding agents like Claude Code.

I use this for all image generation workflows now. It's powered by Nano Banana Pro.

You can improve the process further (through more precise annotations) with the new Claude Code Playground plugin.

I refer to this process as Agentic Image Generation, and wrote a little tutorial if you are interested: https://t.co/mjxa48fhTs

[宝玉 @dotey]

https://t.co/9PiIoD4ACt