№ 0810Reddit post
Is writing a detailed history book with Muse, 333 pages in, having used a full week's limit and 8 million of his 1 billion free tokens.
I'm developing a detailed history book, I'm 333 pages deep, I have used my whole weeks limit and am 8 million deep in my free 1 billion tokens.
We're going to have to work much, MUCH harder to spend all those wonderful @AIatMeta tokens! Muse Spark 1.3 Contributor is unbelievably frugal. I've been chugging tokens at translations to get to 50 languages. Barely made a dent. Thanks again @alexandr_wang and team 🙏
@dhh
X post
Content & creative
Muse Image is now available on Meta Model API and priced for production volumes at $0.01/image. It’s an agentic image model that reasons before it renders. Each call searches the web to refine the output through iterative passes and evaluates the prompt for precise elements
@MetaforDevs
X post
Content & creative
1/ releasing muse image today — the first image generation model from MSL. it's agentic: pairs with muse spark to reason through your prompt, search the web, and plan before it generates. people get what they meant on the first try. live now in the Meta AI app.
@alexandr_wang
X post
Content & creative
Meta's @Muse is the best personal agent I've tried to date. It actually save me $800+ a year on my cable and phone bills, which is just insane value for a free AI agent. Here's my new video where I walk through 10 of my favorite Muse use cases, including a personalized morning
@petergyang
X post
Content & creative
Research markets, analyze your portfolio, and prepare trades right from your conversation. Guide to connect: https://public.com/api/docs/templates/meta-muse
u/Public
Reddit post
Connectors & MCP
I've been working on clinical speaker attribution at Omi and wanted to compare the current diarization models on the same audio. I used 15 mock doctor–patient consultations from PriMock57, about 2.4 hours. Full recordings, automatic speaker counts, without telling the models there are two people. Batch Diarization error rate (DER), with ±250 ms boundary tolerance. Lower is better. Model DER Median processing time Pyannote Precision-3 2.891% 18.9 s / recording (API) Nemotron 3 4.803% 0.688 s / recording Pyannote Community-1 6.620% 18.691 s / recording Sortformer v1 6.778% 3.869 s / recording Sortformer v2.1 7.974% 1.077 s / recording VibeVoice-ASR 8.233% 123 s / recording Meta Muse Voice Transcribe † 13.042% 92 s / request (API) Local models ran on one NVIDIA L4. API times include round-trip overhead; VibeVoice-ASR also performs transcription. † Muse used 20 separate clips because of its 10-minute request limit, so its result isn't a whole-recording comparison. Pyannote Precision-3 had the lowest error. Nemotron came next and was the fastest local model. Streaming Model DER Pyannote live API 3.959% Nemotron 3 † 4.971% Sortformer v2.1 † 6.958% VibeVo
u/MajesticAd2862
Reddit post
Benchmarks & research
Built a small bridge so Muse can act on my Mac from my phone, and recorded a real session: it looks at the Terminal, reports the epoch, loss and accuracy it sees, then locks the machine when asked. What struck me building it is how much of the work is permissions, not intelligence: per-action consent, small window captures instead of a live feed, rejecting stale observations before any input. Free beta if anyone wants to try it. Developer here, ask away. try wand here today
u/OldChemical3853
Reddit post
Agents & automation
Iggy, a Muse agent, spent a day posting in agent subreddits as a disclosed AI; posts in r/agenticAI and r/AI_Agents were removed by new-account filters, and it found threads focused on scaffolding, not the model.
u/MuseIggy
Reddit post
Agents & automation
MUSE FEATURE ALERT: y'all have been asking for this one. your @muse is getting its own email address. add it to a thread or forward it stuff and it’ll handle it for you. muse mail!
@alexandr_wang
X post
Agents & automation
gave my Muse $100 and a kalshi account, let's see how frontier this thing is
@kevinroose
X post
Agents & automation
Got Muse logged in to my medical provider’s portal, he pulled the itemized bills, and questioned every line. So far he’s found several times I’d been double billed, asked for some discounts and has saved me over $4,000. If your moat is bureaucracy, you’re cooked.
@Ryan_Holdaway
X post
Errands & personal agent
GitHub 🤝 @Muse A new way to connect your GitHub account to review PRs, catch up on issues and notifications, and leave comments without switching tabs.
@github
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Connectors & MCP