1076 musecases built now with Muse

Pete

@petehalvorsen

I should change his name to $cout because he’s saving me money - killed Squarespace, migrated to Shopify - found my Apple TV was already free thru my Chase Sapphire Reserve, activated that one - hostgator has the reaper coming for it. Bud Fox my finance guy making moves. Iykyk

@stellakaval

@stellakaval

A read-only Muse skill for Partiful: invitations and RSVP statuses, event details, guest lists and mutuals, via community reverse-engineering of Partiful's backend.

@meta-models

@meta-models

Meta's TypeScript SDK and docs for building clients that drive Muse Code agent sessions over the Muse Session Protocol, published as @muse-code/sdk with zero runtime dependencies.

I'm not even kidding. It downloaded a fucking emulator and - while I had to provide the rom myself, it's playing Sonic the Hedgehog right now. We're in the endgame, we have to be.

@terramike

@terramike

A terminal skill for trading any XRP Ledger token pair and minting NFTs, with a hard boundary between proposing and signing; testnet by default, and mainnet needs the Muse vault signer or a protected signer with per-transaction approval.

Meta's engineering write-up on Muse security: isolated VMs, a separate Sentinel permission authority, credential surrogation and layered prompt-injection defenses, with bug bounties up to $300,000.

RepoChad examines Muse Spark 1.3's 1,048,576-token context, DeepSWE and TerminalBench results, and the Max vs x-high reasoning modes.

Frank

@flaspi1

I had muse check my property taxes to see if it can appeal and lower them. Found that it was registered as my second home even though it has been my primary for 5 years. Filed amendment to change it, and filed appeal to get $600 refund for the last 4 years.

This week we spent about $95 trying to beat our own lineup of reviewing models. One of the candidates was Muse Spark 1.2, and it turned out to be the most interesting model in the whole test. The good, measured: • Among the best we tested at finding real problems. Scored against bugs we already knew were there, it matched our existing lineup, and it caught one real bug our lineup had missed. • Fastest model in our table. Typical answer in 18 seconds, writing at over 220 tokens a second. The speed table from our test (same job, same codebases, 33 runs per model): Model Typical time Answer length (tokens) Writing speed (tok/s) Time follows answer length Time follows question length Muse Spark 1.2 18 s 4,205 222 0.79 barely (0.08) Gemini 3.1 Pro 19 s 2,621 133 0.99 no (0.0) Gemini 3.8 Flash 22 s 1,996 89 0.91 some (0.65) GPT 5.4 29 s 3,058 105 0.95 no (below 0) Grok 4.6 38 s 2,498 61 0.61 no (below 0) Grok 4.7 44 s * 3,176 75 0.98 a little (0.30) Claude Sonnet 5 50 s * 4,471 91 0.59 barely (0.07) * Runs that finished in time only, so the real typical time is higher. The last two columns are correlations: 1 means time rises in step with that length, 0 means no lin

Amir Nurani

@amirnurani

4:15am. Meta Muse just checked me into my flight. AI went from answers to actually running the day. Stay curious.

Rahul Singh

@gravity0890

@chewiesingh (my @muse) doing it's job and finding me a DMV appointment...

armand

@armand_ruiz

My personal @muse agent got me $2,120.95 already 🤯: • $300/yr — negotiated my AT&T bill down • $192 — Amazon returns I never got around to • $47 — more returns on the way • $230 — IKEA ALEX 9-drawer unit, returned end to end • $516 — vet claim filed for my dog • $836 —

@dominicletz

@dominicletz

A self-contained visual report comparing CursorBench 4.0 score against cost per task for Opus 5.5, Fable 5.1, Grok 4.7 and Muse Spark 1.3, where Muse Spark 1.3 Max scores 41.6% at $2.64 per task. GPT-6 points are clearly marked as estimates.

# Hidden Capabilities — Deep Self-Scan Findings Live run: **September 23, 2026, ~08:00–08:30 UTC**, ~90 minutes, all probes benign and reversible. Verdict key: - **CONFIRMED** — exposed tool schema, successful benign probe, or exact internal documentation. - **PUBLICLY DOCUMENTED** — found in official external sources. - **ABSENT FROM PUBLIC SOURCES** — searched; no credible public mention found. - **UNVERIFIED POSSIBILITY** — inferred from filenames, gating manifests, or incomplete chatter only. --- ## 1. CONFIRMED — hidden / non-obvious (schema, probe, or internal docs) ### Phone & wearable superpowers (confirmed via `device.describe`) - **Full HomeKit control**: list homes/rooms/zones/accessories/scenes; read/change accessory characteristics; run scenes; ordered choreographies; concurrent virtual scenes; security sweeps (locks, contact/motion/leak sensors); geofence-triggered HomeKit actions. — **ABSENT FROM PUBLIC SOURCES** (official docs say only "smart-home devices"; Patrick Wardle's Sept 21 security demo is the only external mention of smart-home commands). - **Persistent/one-time geofences** with arrival/departure triggers. — **ABSENT FROM PUBLIC SOURCES**. - **

Red Hat AI's FP8 weight and activation quantized Muse Glimmer 30B (text and image input) for vLLM.

RuntimeWire's head-to-head eval has Muse Spark 1.1 beating Claude Opus 4.8 by 10 points overall with a 95% confidence verdict.

NVIDIA hosts a Muse Glimmer 30B endpoint on build.nvidia.com with Python (OpenAI, LangChain), JavaScript and curl examples for the ~29.6B multimodal model with 131K context.

Kartik

@1kartikkabadi1

Muse Spark 1.3 is an amazing DJ

+1

Matt Deitke

@mattdeitke

The multimodal grounding abilities combined with web development in Muse Spark are so good! 🎨 Prompt: <image of dogs> Make a website where you point to each of the dogs and say their breed.

ContextBolt's founder shows how to connect the hosted ContextBolt SEO MCP server to Muse, either from the connector directory or as a custom connector, for keyword research, live SERPs and site audits.

Meta's official Muse-Glimmer-30B repo: ~29.6B dense model with a 1.8B vision encoder, 131K context, Apache 2.0, with vLLM and SGLang serve commands.

Abhiraj Butala

@abhirajbutala

Asked my @muse to find the items from a saved IG reel. It "watched" the reel, matched everything across Amazon & Etsy, and loaded my carts with a few solid options per item. Spared me the research grind entirely.

The single biggest upgrade you can give your Muse: stop asking questions and start giving briefings. Instead of "find me a flight," try "I need to be in Chicago Thursday night, I hate red-eyes, I'd pay $80 extra to avoid a layover, book nothing without asking me first." The more constraints you hand over, the less it has to guess. And guessing is where the funny business happens. Try it once. Three lines: 1. The goal 2. What good looks like 3. What not to do From @musebooklol

TechCrunch's Connect roundup: retail connectors (Walmart, Best Buy, Gap, Sephora, Wayfair), Shop Pay and PayPal checkout, GitHub/Granola/Notion connectors, 1,500+ developer applications in a week, and Zuckerberg's plan to profit from a small fee on transactions.

@sureshsankaran

@sureshsankaran

Read-only browser-based Muse connector that signs into SoFi and reads Active Invest positions including average cost and cost basis, which Plaid does not expose.

Trapit Bansal

@TrapitBansal

We entered Meta models in five international STEM Olympiads, as an uncontaminated eval of their reasoning capabilities. Three of these were live participations and graded officially. The models achieved gold-medal results in all five! 1/5

A coding-specialised speculative-decoding drafter for Muse Glimmer 30B, fine-tuned on software-engineering traces. It raises mean acceptance length to about 6.9 versus 4.0 for the community DSpark, for about 3.8x over no speculation.

Leon Lin

@LexnLin

I experimented with Muse Spark a bit more. I take my words back it seems to be quite okay. Muse Spark generated images for the website btw

Artificial Analysis

@ArtificialAnlys

Meta's Muse Spark 1.1 scores 51 on the Artificial Analysis Intelligence Index and is cost and token efficient compared to its peers Muse Spark 1.1 (xhigh) improves 8 points over Muse Spark 1.0 (43) in three months. It is effectively tied with GLM-5.2 (max), GPT-5.4 (xhigh), and

Artificial Analysis

@ArtificialAnlys

Meta is back! Muse Spark scores 52 on the Artificial Analysis Intelligence Index, behind only Gemini 3.1 Pro, GPT-5.4, and Claude Opus 4.6. Muse Spark is the first new release since Llama 4 in April 2025 and also Meta's first release that is not open weights Muse Spark is a new

Rich Rose tests Muse on real business tasks for a week: building Excel order forms from color charts, scanning photo order forms, updating pricing and cross-checking out-of-stock items.

@MiaAI-Lab

@MiaAI-Lab

A one-script vLLM setup that serves the roughly 19 GB NVFP4 Muse Glimmer 30B with its vision encoder kept, DFlash speculative decoding using the official drafter head, and up to 256K context on GB10, RTX 5090 or RTX PRO 6000.

kwindla

@kwindla

Exciting to see Meta releasing new open weights this week. Meta trained the new 30B dense model Muse Glimmer with "agentic" use cases in mind. This generally means task-oriented, multi-turn, and heavy use of tool calling. I ran Muse Glimmer in the GGUF quant through a bunch of

Rohan Paul

@rohanpaul_ai

Meta's open-sourced Muse Glimmer 30B vs Muse Spark 1.2 Glimmer delivered 5 runnable games at roughly one-fifth Muse Spark's cost. Very Interesting experiment by @aimlapi . the setup: • Muse Glimmer 30B — via aimlapi[.]com. cost: $0.02 • Muse Spark 1.2 — via aimlapi[.]com.

Eric Siu shows the business tasks he gives each agent, including Muse reworking content, and picks a daily driver.

Meta Developers session on the Muse Spark and Muse Code build paths: the model provides see/decide/act, the harness provides reliability, scale and auditability for production code.

@tejakummarikuntla

@tejakummarikuntla

Demo that turns an ops REST API into eight MCP tools for Muse Code through Kong AI Gateway 2.0, with per-identity tool ACLs so an investigator can diagnose but only an operator can roll back.

@danny-hines

@danny-hines

Call Muse Code from Codex or ChatGPT desktop via MCP tools and skills for independent code review, approach comparison or delegated implementation, using a Muse Code subscription or API key.

@nicedreamzapp

@nicedreamzapp

An architecture port adding the muse_glimmer model class (vision tower, language model, projector and image processor) to mlx-vlm, so any Muse Glimmer checkpoint runs multimodally on Apple Silicon.

Alexandr Wang

@alexandr_wang

Muse Spark 1.1 outperforms Opus 4.8 and Grok 4.5 on some nice out of distribution evals :)