Entries matching “study”

LM Studio

@lmstudio

Muse Glimmer 30B is live in LM Studio! It's a new open source model from Meta. Apache 2.0 license, fit right on your laptop. It is the strongest model of its size class we've tested.

Stream Developers runs Muse Glimmer locally in LM Studio as an always-on coding agent and has it generate a SwiftUI drawing app.

karthk

@thekarthk

Day 2 with Muse and I'm sold. It rebuilt my boys trip page for October - dates, routes, the works - and even found a foliage drive I hadn't thought of. Then it set up my Instagram Content Studio with a full batch of trip ideas, captions, and shot lists ready to go. Then FPL:

Moss AI Studio 🌱

@MossAIStudio

Loving it! I did a 2026 remake of my Spooky Clicker the other day and the total was $0.63. Lots built too! Changelog for everything is here: github.com/DevTarlow/spoo…

@hari007sh

@hari007sh

An India-focused set of seven Muse connectors on one Cloudflare Worker, covering GST, refunds, payment collections, jobs, exams and vendor bills.

ChrisUniverse 🗽

@ChrisUniverse

Using @Muse to achieve something I’ve wanted to do all year! 👀 Get my CDL class A License!🚛 Informed me that I need a DOT physical ⛑️ ‘Feed’ enlightened me on CDL Prep app 🔥 Created a 20min/day study plan 📚 Found ELDT driver training providers 🚨 I can not stop using it 🧘🏻‍♂️ https:

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Shifros

@Studioshifros

Decided to stress test Muse Spark 1.3 xhigh on 3D game logic in Three.js. Built out an entire browser driving demo with different daytimes, and vehicle physics. TBH the result is so much better for the time I spent on it. @threejs @alexandr_wang Try: gg-shifro.vercel.app

research.meta.ai

research.meta.ai

Meta's launch post for Muse Glimmer, an Apache 2.0 30B model for local agents that fits in ~20GB at 4-bit and runs on M4/M5 Max Macs, RTX 5090s or 24–32GB GPUs.

Jon ONeill

@HouseHackerJon

I’ve built this but for @Muse A community styles Creator studio Prompt and images available musecharacters.jononeill.dev Use the tag #MuseCharacterStudio And I’ll add yours to our gallery! @MattPRD have you seen any cool ones you want added? Or has @alexandr_wang ?

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lmstudio-community

lmstudio-community

LM Studio community highlight GGUF quants of Muse Glimmer 30B.

松xR

@matsu_vr

muse glimmer 30Bを公式の17GBに収まるよバージョンのggufでLM Studioで動かしてみました。写真の批評もバッチリしてくれる。これは僕が撮った写真なのでネットにないのでちゃんと写真を見ているはず。コンテクスト長64000にして、VRAM20GB以内に収まっているので、かなり実用的かもしれない！

lmstudio.ai

lmstudio.ai

LM Studio launched Muse Glimmer support, reporting it completed 83.3% of tasks on its 18-task BionicBench v0.1 versus 77.7% for Gemma 4 31B and Qwen 3.6 27B.

yahav

@YahavSal

Quick context: I own a communal sauna and cold plunge studio. Mindbody is the booking and membership software studios like mine run on. I spent an hour on the phone with Mindbody support. They couldn't fix my problem. I asked @Muse to look at my actual setup. Five minutes later

Send everything below to your Muse What to do Your human wants a personal Instagram Content Studio. Read this entire file, then follow every step below in order and build it for them. Don't skip steps, don't improvise the structure — the steps are the product. What you're building for them: Data — profile snapshots, trend digests, and idea files under ~/workspace/content-studio/data/. Dashboard — a web artifact where the user browses ideas and tracks filming status. Refresh cron — a weekly run that pulls a new snapshot, researches trends, and generates 5–8 new ideas. Workflow 1. Connect + analyze (do this first — derive, don't ask) • Verify Instagram is connected (instagram-cli accounts). If not, get the connect URL and have the user link it before continuing. This is the only hard requirement. • Pull instagram-cli posts --account-id <id> --limit 100, dedupe by post_id. • Save to ~/workspace/content-studio/data/profile-posts-<YYYYMMDD>.json with schema: generated, username, follower_count, post_count, posts[] (each: post_id, likes, comments, media_type, created_at, url). • Derive from the data, don't interview for it: • Content categories (3–5): cluster their actual posts in

@GordonWei

@GordonWei

An OpenAI-compatible /v1/chat/completions server that runs Muse Glimmer on Apple Silicon through mlx_vlm while LM Studio's bundled MLX runtime can't yet load the architecture.

@cneuralnetwork

@cneuralnetwork

smol-muse-glimmer scales Muse Glimmer's language backbone down to a 51M-parameter model and trains it on TinyStories, reaching validation cross-entropy of 1.8127 at step 5,000.

Sree

@srikanthvaluri

Muse-Spark 1.3 VS Opus 5 (Medium) Both fully interactive with procedural materials and real-time 3D. Same engine. Completely different character.

I've been running my work in Codex as project folders, and recently tried to properly understand how Muse Goals work under the hood. Made it a goal — good way to watch the machinery operate on itself. The structural problem is worth naming: the current design is a halfway house between two coherent designs, and it gets the costs of both. Design A is Codex: the project is a container. Everything — chat, state, artifacts, scheduled work — lives in one place. My course project has one tracker file, explicit resume rules for new chats, and the curriculum never holds status. Legible, but you have to go to it. Design B is full ambient: no containers at all. The goal is just context that wakes up wherever you mention it, and there's no Goals tab pretending otherwise. Muse picked ambient for activation — talk about the goal anywhere, it wakes up, you never "open" it. But then it built half of containment: a Goals tab showing summary, artifacts, activity, without the other half. Conversations, check-ins, and briefings still leak into whatever chat they happened in. So you get the scattering of ambient with the implied promise of a container. That's the worst combination. The fix is to