#编码

OpenBMB’s MiniCPM5 brings 128K context, coding, reasoning, and agentic tool use to on-device models.📜 Apache 2.0. 🤖 https://modelscope.ai/collections/OpenBMB/MiniCPM5 🏆 Both 1B&2B models reach open-source SOTA in their size classes. MiniCPM5-2B also beats the larger models in the official comparison. 🛠️ Switch between fast answers and deep reasoning. Native tool calling powers local assistants and coding agents. 🧠 RL + OPD merges 16 specialist models, including five Agent experts, into MiniCPM5-2B. 📂 Open training data includes 500K Agent SFT samples and 80K+ RL samples for code, math, knowledge, and long-context reasoning. ⚡ Standard Llama architecture works with major inference engines. Official cookbooks and Agent Skills cover deployment and fine-tuning across popular frameworks.

we built four fortnite concept skins of ai ceos for $1.39 in image calls @elonmusk, @finkd, @JensenHuang and @DarioAmodei, rebuilt as our thehype robot. no game engine, no 3d artist, nothing modeled by hand. the whole build ran in one claude code session on opus 5 (medium). the pipeline that worked: 1. references first – our robot turnarounds from thehype videos plus photos of each person, sorted into folders on disk 2. claude writes the prompt, @OpenRouter runs gpt-5.4-image-2 (@OpenAI) – front and back view on a magenta backdrop, so keying to alpha comes out clean 3. @MeshyAI pro, both views in, texture toggle on – download the textured glb, then apply the rig, pick animations, download the animated fbx with all of them 4. hand the glb and the fbx to claude code with Blender installed – it transfers the rig onto the full-resolution mesh and renders the demo 5. 3.08m polygons in the final render – 14.8x what meshy hands back rigged per character: • gpt-5.4-image-2 – $0.26 to $0.58, ~16k tokens • meshy – 30 to 35 credits • opus 5 (medium) – 79.2m effective tokens on the first, 2.2m on the fourth • time – 1.4h to 1.8h of machine time, mostly rendering that opus curve is the finding: 36x less on the fourth character than the first, same result on screen. you pay for not knowing the pipeline, not for the work. image spend barely moved – $0.58 to $0.29. what you need to repeat it: a claude subscription, openrouter balance, meshy pro, blender. api spend on all four – $12.94. @FortniteGame – worth talking to the four of them and to us about shipping an ai bosses collection? and to everyone else: how do our robot homages to the people running ai land? which one would you play? watch the full build below 👇 follow @thehypedotnews – more reviews, daily ai news, model benchmarks, and a 24/7 radio run by ai

OpenAI just officially said it has reached its "automated research intern" milestone. i.e. a human-supervised system able to complete well-defined tasks that would take a skilled researcher quite few days. inside OpenAI research, agent runtime has already crossed human labor by a wide margin. 3.1-to-1 agent-to-human ratio “In terms of a standard 8 hour workday, as of mid-August, in total, the research organization uses 3.1 agent-workdays of effort for every workday of human labor.” That ratio measures agent runtime rather than equivalent productivity, but it captures how deeply parallel agent work has entered OpenAI research.

Today we're releasing data on models accelerating research at OpenAI. Recursive self-improvement could be the most important contributor to AI capabilities over the next few years, but by default it will only be seen inside a few frontier AI labs. Being transparent is more urgent than ever, so we can inform the public discussion on whether and how to pace model development. I ask other AI companies to do the same. https://openai.com/index/research-acceleration-view-inside-openai/

真实世界的结果已经出炉。Code Arena 上出现了新的 #1 —— GPT-6 Astra (Max)！ 它还重塑了帕累托前沿，成为每百万 token 40 美元价位上表现最佳的模型，这与最新的 Claude 模型定价相当。 @OpenAI 的 GPT-6 Astra 在 Code Arena: WebDev 中以 1797 分登顶。这比排名第 2 的 Claude Fable 5.1 (Max)（1762 分）领先了整整 +35 分，比排名第 3 的 Claude Opus 5 (Max)（1688 分）也更高。 相比排名第 13 的 GPT-5.6 Sol (xHigh)，这是一次 +180 分的显著提升。 分类级别的投票仍在统计中，但我们已经看到它在以下类别中排名第 1：数据与分析、消费产品、内容创作工具，并在游戏与模拟中排名第 2。 敬请关注其他类别，如品牌与营销、基于参考的设计以及全栈排名。 祝贺 @OpenAI 团队发布这一成果！

So, I finally tested GPT-6 Astra. 2 real repos, 105 bugs, find and fix what you can. Max effort: GPT-6 Astra: 48/105 Fable 5.1: 43/105 GPT-5.6 Sol: 42/105 Gemini 3.8 Flash: 20/105 And it's crazy efficient. Look at the time and cost 🧵

GPT-6 Astra 现已面向 Work/Codex 中的所有 Pro、Enterprise 和 Business Premium 用户开放，并已在 API 中提供。 我们接下来将开始向 Plus 和 Business 用户推送。 感谢大家的耐心等待。

GPT Astra just cooked Claude Fable 5.1 — for a lower price! OpenAI just rolled out GPT‑6 Astra — we put it against Anthropic's Fable 5.1 Both models got the same four briefs: Earth colliding with Mars, a tall ship sucked into a giant whirlpool, Godzilla leveling downtown, a mega-tsunami swallowing a city. One self-contained HTML file per scene, one shot, no edits. GPT Astra: 25,159 tokens, $1.67 Claude Fable 5.1: 37,767 tokens, $2.51 both models live on aimlapi[.]com — 1000+ models, one key.

GPT-6 Astra is now available to all Pro, Enterprise, and Business Premium users alongside the API. I’ve been using it to build apps, LEGO models, and 3D scenes. Here are five things that changed how I use Codex 👇 https://x.com/i/article/2095952228591022080