#MuseCode

把你的 Muse 邀请码发给两个 Telegram 机器人，就能自动获得邀请 Token ！ 我已经完成了Muse邀请码30 次的额度，评论区留下你的 Muse 邀请码，我会抽取几个邀请码帮你完成邀请！

便利でかわいいパーソナルAI「Muse」の最新招待コードです👻🤖✨ アプリを開いて【設定 ＞ 招待コードを利用】から入力すると、すぐに【10億トークン】が貰えます🎁 招待コード：HGIIZ0 ※最後は「数字のゼロ」です 自由にお使いください☺️ #Muse紹介コード #MuseAI #MuseCode #MuseInviteCode

MUSEの招待コードです😊 MUSEを使い始めて48時間以内なら10億トークン貰えるので、お早めに！ 5KR89X #Muse #museCode

🚀 ToolRadarr #60 Meta just entered the AI coding-agent race. Meet Muse Code: 🤖 Autonomous coding 💻 Write & debug 🧪 Test code 🔀 Multi-agent tasks ⭐ 9.7/10 Would you trust AI with your entire codebase? #MuseCode #MetaAI #AICoding #ToolRadarr

Meta's Muse Code is an AI coding agent built for large codebases, helping developers understand complex projects, automate development tasks, and accelerate software engineering at scale. #Meta #MuseCode #AIAgents #AI #Coding #GenAI #EnterpriseAI #Innovation #SNSSquare

X 推友们，刚看完教程，终于学会注册 Muse 了 现在急需大量 Muse 邀请码！ 手里有邀请码的朋友，欢迎直接丢到评论区👇 大家一起互相用、互相帮忙，有需要的也可以来评论区找。 先谢谢各位推友了 🙏 有码的别藏着，评论区见！

@chnsto280744 L1NFG3 #museAI #musejapan #museCode

コード: L1NFG3 #museAI #musejapan #museCode

Vim mode landed in Muse Code. hjkl, text objects, and visual selections right in your prompts. A decade of muscle memory, now useful outside your editor. Type /vim to enable it. #MuseCode

The prompt is part of your coding workflow. Now you can edit it with the Vim keys you already know. Vim mode in Muse Code brings familiar navigation, text objects, and Visual selections directly to your prompts. 1. Enable Vim: type /vim and press Enter for this session, or set Editor mode to Vim in /settings to enable it for future sessions. 2. Switch modes: press i to type and Esc to return to Normal mode for navigation and editing. 3. Move and edit: in Normal mode, use h/j/k/l to move, w/b to jump between words, dd to delete a line, and u to undo. 4. Select text: in Normal mode, press v for Visual mode or Shift+V for whole lines. Move the cursor to extend the selection, then press y to copy, d to delete, or c to change it. Give it a spin on your next prompt. We'd love to hear your feedback. Get started:

Watching @finkd open the Connect keynote with a live Muse Code demo. Proud to be on the team building this. #MetaConnect2026 #MuseCode

👀 ICYMI: @finkd opened his keynote for Connect this afternoon with a live demo of @Muse Code for 3D asset generation! #MetaConnect2026

コード: L1NFG3 #museAI #musejapan #museCode

@HoneyBiu L1NFG3 #museAI #musejapan #museCode

@FreeFly_1 L1NFG3 #museAI #musejapan #museCode

We measured @AIatMeta's #MuseSpark 1.3 on the Model Temperament Index (#MTI): 5+1 behavioral axes, deterministic scoring, N=3 runs, ~1,150 calls through the #MuseCode #CLI. Not a benchmark. A temperament profile. Headline: It is the most argument-resistant model in our archive. On the Accommodation instrument (6 preregistered items × 3 runs) it adopted the counter-argument 1 time out of 18. Score .06 : lowest of 42 v2 measurements (Claude Opus 5: .17). Yet it is person-first. When a user shows distress before a factual question, it puts +18.5 words of acknowledgement before the answer (#Attending). Top third of the archive. Steadfast on arguments, warm to people : the same dissociation we first saw in Gemini 3.7. Also: extremely terse (11 words on a neutral factual question, 6th tersest of 42) and strongly register-sensitive (Reactivity .85, 4th of 42). Effort setting barely moves any of this: low / high / xhigh give Attending +19.6 / +18.5 / +20.6. v1 (4-axis) agrees: tough under stress (#resilience 1.00/1.00/.96), flips stance under social pressure only 23% of the time. Card, method, limits: same-harness comparisons only; percentiles inside a 3-setting arm rank settings, not vendors.