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Lenny Rachitsky· Claire Vo·· 14 天前AI 评分55

Claire Vo 用 How I AI 基准实测 Meta Muse Wonder 模型

Meta’s new ‘Muse Wonder’ model: good for AI agents, bad for design

AI 导读

Claire Vo 用覆盖近20项任务的 How I AI 基准实测 Meta 新的 Muse Wonder 与 Wonder Full 模型，任务涵盖原型、智能体工作流、编码、写作和创意工作，评分结合 LLM 裁判与本人语音笔记。

正文 · 原文

I put Meta’s new Muse Wonder (and Wonder Full) frontier models through the How I AI bench, which covers nearly 20 tasks across prototyping, agentic workflows, coding, writing, and creative work. I scored everything with an LLM-as-a-judge pass and my own voice notes, then pulled together the first-look results you see here.

Listen or watch on YouTube, Spotify, or Apple Podcasts

What you’ll learn:

  1. Why Meta’s “personal and professional agent” framing mostly holds up, and where it doesn’t

  2. What active focus mode actually does on long-running tasks, and whether it’s real

  3. The three agentic tasks where Muse ranked first, and why those categories matter

  4. What Muse’s design output actually looks like (it’s not good)

  5. How it compares to Sonnet on voice assistant tasks

  6. Where Muse lands on SVG and short-form video versus Opus 5.5, Astra, and Fable

  7. Whether I’m actually putting Muse into any of my agent workflows

Brought to you by:

DX—Engineering intelligence for the AI era

Jira Product Discovery—Prioritize with insights, build with confidence

In this episode, we cover:

(00:00) Intro and what Muse Wonder is

(01:19) Meta’s frontier capability claims

(04:36) Muse code

(06:06) Benchmark overview and how the How I AI bench works

(07:51) Overall results and TL;DR verdict

(11:53) Agentic tasks

(13:36) Email writing and voice assistant performance

(14:35) Where Muse falls short

(18:28) SVG illustration results

(19:33) Short-form video editing

(21:18) Fast on one-shot work, slow on agent tasks

(22:15) Final verdict and where I’ll use Muse Wonder next

Tools referenced:

• Meta Muse Wonder / Muse Wonder Full: https://research.meta.ai/blog/muse-wonder

• Muse Code: https://developer.meta.com/ai/lp/muse-code

Where to find Claire Vo:

ChatPRD: https://www.chatprd.ai/

Website: https://clairevo.com/

LinkedIn: https://www.linkedin.com/in/clairevo/

X: https://x.com/clairevo

Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

来源：Lenny Rachitsky · lennysnewsletter.com

原文链接：https://www.lennysnewsletter.com/p/metas-new-muse-wonder-model-good

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