全部 AI 动态

Big news from our internal writing benchmark (early results): Kimi K3 by @Kimi_Moonshot is now #1 for writing in our editorial voice, at 2840 Elo, surpassing Claude Fable 5. That is a jump from #21 to #1 over its predecessor, Kimi K2.6. And it runs at about $0.25 per script: 5x cheaper than the model it just displaced at the top. First time an open-weights model tops our board. It surprised us too. More in the replies 👇

New Kimi K3 beat Opus 4.8 at making retro games for 2x cheaper! We gave three models the same task: make three old arcade games that play by themselves. Each game is one HTML file with a bot that plays it Prompts: – Road Fighter – Battle City – Q*bert Outputs: Kimi K3: 18.4K tokens, $0.28 GPT-5.6: 18.1K tokens, $0.28 Opus 4.8: 21.3K tokens, $0.54 Kimi K3 made the best games. Its Q*bert is the best of all three. The player jumps on the cubes, paints them and runs from the purple snake. Its Battle City looks just like the real game and plays right. The tanks move, aim, shoot and break the walls. GPT-5.6 could not handle the cars. Its Battle City broke too. The tank died on its own and the base got hit. But GPT had the nicest textures of the three

Fable: "create a visually interesting shader that can run in twigl-dot-app make it like an infinite city of neo-gothic towers partially drowned in a stormy ocean with large waves." "Make it better" All of this is procedurally generated.

Today we're opening up the DoorDash CLI in limited beta. `dd-cli` lets you order DoorDash directly from your agent: search stores, find the best deals, check out, and more. Early access for US/Canadian macOS developers by waitlist. Excited to see what folks build!

@gdb our benchmark shows that Sol ranks #1 is 6x more cost efficient than Fable across React/frontend work

ChatGPT 5.6 Sol Pro solves an empty crossword puzzle (made by Claude Fable 5 Max) with the first 150 Pokemon without any individual numbered clues:

GPT-5.6 Sol is the most impressive model ever. Outside of agentic coding, I find its capabilities in mathematics, especially in vision to be insanely good. I tested both Terra and Sol (Max) on visual mathematics and they are far superior to other models. Huge improvements.

🚨 New Mystery Model - Kivine on @arena claims to be from moonshot labs knowledge cut off Jan 2025 here is the first introduction output from it , will run more tests on it

字幕转录翻译剪辑 Skill —— BaoCut（仅支持 Mac） 借助 Agent Skill，可以转录视频、对转录结果识别 Speaker、润色（纠正错别字口癖等）、也可以根据转录结果对视频进行简单的剪辑，比如删除口癖、重复等。 这次尝试解决一个问题就是 Agent 对字幕转录翻译后，无法通过一个友好的操作界面二次编辑的问题。 现在的做法是为 Agent 提供一个 cli，配合 Skill 的说明，Agent 可以借助 cli 去转录，获取转录结果润色、翻译，并实时同步进度到 GUI。后续可以在 GUI 进行预览和人工编辑。 安装了 Skill 和 App 后，后续只要从 Codex 或者 Claude Code 这种 Agent，触发 Skill 即可执行，比如： > /baocut 转录并翻译视频：<视频 url 或路径> 已知问题： - 仅支持 Mac - 翻译速度略慢，但质量会不错 下载地址：https://baocut.app/ Skill 从 App 内可以安装，或者 Skill 地址：https://github.com/jimliu/baocut

Digital humanities is about to be wild. I pasted in the Catalog of Ships from the Iliad, and asked GPT with Code Interpreter to map the origins of the Greeks. With hiccups, it extracted solid information from the text, found modern locations & started building an interactive map

gpt 5.6 sol story of the day: i have a macbook connected and powered by a caldigit TS5 it kept reconnecting randomly and it was pissing me off, i told sol to investigate and it found out that it would disconnect when power heavy GPU loads and the caldigit couldn't supply enough power sol created the hypothesis and proved it to me then it told me to plugin the 120W power cable, then it did the reproductions again and they were fixed this would have taken me an entire day

This was one of those impressive AI thresholds for me. I gave GPT-5.6 Sol in Codex control over my computer, and asked it to win the daily challenge for the game Slay the Spire 2 (randomized factors, so can't cheat). It worked for 5 hours, making complex game choices... and won.

kodaさんの超クールなプロンプト構造をアレンジして メデューサ少女(髪型以外はいつもの大家さん）のバトルシーンを作成しました。 Canvasのメイキング動画も後ほど投稿予定です。 とても勉強になった。 by PixVerse Canvas #pixversecpp @PixVerse_

just asked gpt-5.6 sol in cursor to set up blender mcp and make me a realistic floating macbook, then render the whole thing. never opened blender once in my life before today.

CODEX SKILL THAT FINDS YOUR STARTUP’S FIRST CUSTOMERS! I made a Codex skill that analyzes your startup and finds potential customers from real public signals. Paste your startup URL while Codex defines your ideal customer, searches public discussions, qualifies each prospect, and generates a polished report with personalized outreach openers. -> ideal customer profile analysis -> public pain + buying signal research -> evidence-backed prospect shortlist -> fit, timing + reachability scores -> original source links for every prospect -> personalized outreach openers -> polished HTML report -> one-command install Install: npx --yes codex-first-customer-finder-skill 100% open source. Repo in Bio.

http://x.com/i/article/2076664396793745408

With 5.6 Sol, a lot of people are still prompting the model exactly as they did 5.5 It's important to note that 5.6 Sol is a lot more tenacious and thorough than previously models. Check out the guide I wrote here to get better outcomes https://learn.chatgpt.com/docs/prompting