
Codex hit 4M active users, less than two weeks after hitting 3M. We will reset rate limits today!
enzyme · 独立开发
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@enzyme_dev
20年写代码,现在一个人做产品 研究AI时代内容怎么被搜索引擎看见 @aivsrank 主理人

Codex hit 4M active users, less than two weeks after hitting 3M. We will reset rate limits today!

What goes into the system prompt vs. what goes into an Agent Skill? Agent’s system prompt is for identity, constraints, and persistent context. • What the agent is and what it should always or never do • How it should generally approach problems (reasoning style) • Persistent context needed for every interaction Agent Skills are for capabilities the agent can choose to invoke when relevant. • Dynamic context • Performing actions with side effective (e.g., calling APIs) • Anything that’s optional depending on the situation Practical rules of thumb: If it’s a specific action the agent does, it goes in a skill. If it’s the identity of who the agent is and how it thinks, it goes in the system prompt. If it changes per-request, it goes in a skill. If it's stable across all requests, it goes in the system prompt.

Exciting news - GPT-Image-2 by @OpenAI has claimed the #1 spot across all Image Arena leaderboards! A clean sweep with a record-breaking +242 point lead in Text-to-Image - the largest gap we’ve seen to date. - #1 Text-to-Image (1512), +242 over #2 (Nano-banana-2 with web-search aka gemini-3.1-flash-image) - #1 Single-Image Edit (1513), +125 over #2 (Nano-banana-pro aka gemini-3-pro-image) - #1 Multi-Image Edit (1464), +90 over #2 (Nano-banana-2) No model has dominated Image Arena with margins this wide. Huge congratulations to @OpenAI on this major breakthrough in image generation! More performance breakdowns by category in the thread below.

OpenAI 用 白嫖党养飞轮,Anthropic 连 Opus 付费用户都供不起了 OpenAI 和 Anthropic 这一仗,根本就是 Windows 打 Mac 的翻版。 你看最近多离谱——Codex 注册机满天飞,官方不但不管,Sam Altman 还"喜迎" 400 万新用户,顺手把额度全重置了。 这操作你眼熟吗? 当年微软对 Windows 盗版什么态度?默许,甚至纵容。 不是心大,是因为比尔·盖茨比谁都清楚:装机量才是最大的护城河。 今天 OpenAI 的阳谋: 你可以白嫖,可以钻空子,但只要你在用,你的数据就在帮我进化。 但这里有个绝大多数人忽略的点——这游戏不是谁都能玩的。 放任上百万人白嫖、重置额度、甚至默许注册机泛滥,背后是要真金白银烧算力的。Anthropic 敢这么跟吗?够呛。Opus 的降智风波 已经说明了一切——连自己付费用户的算力都供不起,哪还有余力接 400 万白嫖党? 用户越多 → 数据越多 → 模型越强 → 工具越好用 → 用户越多。 等这个飞轮转起来,正版和盗版的边界还重要吗? 底子够厚,才有资格不计较眼前输赢。它要的是整个市场,不是你那点订阅费。




Codex hit 4M active users, less than two weeks after hitting 3M. We will reset rate limits today!


Meet Kimi K2.6: Advancing Open-Source Coding 🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2) What's new: 🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization). 🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D. 🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files. 🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops. 🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop. - K2.6 is now live on kimi.com in chat mode and agent mode. For production-grade coding, pair K2.6 with Kimi Code: kimi.com/code - 🔗 API: platform.moonshot.ai 🔗 Tech blog: kimi.com/blog/kimi-k2-6 🔗 Weights & code: huggingface.co/moonshotai/Kim…
