loot radar is my game deals site, radar.codemeoww.com. tracks deals and freebies across stores like steam and epic, ranked by discount and popularity.
features: daily loot summaries on telegram and discord, fast price alerts, a morning deals digest, wishlist tracking so you get pinged when a game you want drops, and an api for the deal data.
This is crazy!!! I just used @Muse and it found me over $800 that belongs to me!
It searched in every state I've lived in for unclaimed property and filled out the forms in literally 10 minutes!
The two over $250 could be significant! Pretty sick for a free bot.
Ramanpal Singh builds a multi-page company site, a Gridlock puzzle game, a 3D traffic sim, the Shipyard release-notes SaaS and a diagram digitizer with Muse Code for about $10. Spark 1.2 often failed to enforce rules like win conditions.
The coolest thing Meta AI's Muse Spark can do by far is counting objects!
As you can tell, it's far from perfect. They call it "visual grounding" and it can count objects and do bounding boxes. I've been playing with the new model and here's what I think so far:
Good stuff:
–
Meta returns to open weights: Muse Glimmer, its first open-weights release since Llama 4, scores 35 on the Artificial Analysis Intelligence Index. It is a 30B-parameter model, and the first from Meta to be released under Apache 2.0
Muse Glimmer (high) arrives 16 months after
MarkTechPost summarizes Meta's numbers: 75.4 on DeepSWE v1.1 (Opus 5 74.0, GPT-5.6 Sol 72.7), 88.8 on Terminal-Bench 2.1, and 98.1 on MRCR v2 at 512K–1M context.
Releasing Muse Code in beta today. It's a terminal coding agent that takes on complete software engineering tasks across large repos: planning changes, writing code, validating the results. Powered by Muse Spark 1.2, a coding-focused model update.
Muse Spark 1.2 from @AIatMeta is live on OpenRouter alongside expanded global access to both Muse Spark models.
At $1.25/M in and $4.25/M out, the model builds its position as one of the most price-efficient, high-intelligence models on OpenRouter.
Mileage might vary
https://github.com/Some1sm/MuseBridge
it's not a complete functional agent at all lol but it can create, read, delete and download whole projects from muse itself. Setup instructions in the readme
I hope with this base somebody with chatgpt or claude sub can get a working thing done.
https://preview.redd.it/10luxcr9qwqh1.png?width=749&format=png&auto=webp&s=faa8f42078b3e4966b292a6aec86bc213a233d05
Muse Glimmer can complete multi-step agentic tasks end-to-end from a single natural language prompt.
In this demo, it autonomously discovers a local Home Assistant instance via network tool calls, queries device APIs, writes a responsive HTML/CSS/JS dashboard from scratch, and
Meta's announcement of Muse Spark 1.3 for Muse Code and the Meta Model API, claiming ~20% fewer tool calls and ~25% fewer tokens than 1.2, with a max reasoning mode.
$META just went from 3.5% to 45.4% token share on OpenCode in just over two weeks
Muse Spark 1.3 being good + free is enough to become the default for most users
Default gets you usage → usage gets you data → data makes the next model better
Anthropic and OpenAI can’t afford
I'm just using OpenWebUI with a simple FastMCP server. Every other model I've tried will simply run a few lines of Python and give me the result. Glimmer seems to overthink like crazy to the point of being useless. On the carwash test it tried to compute emissions using Python. I'm using the recommended sampling parameters, default template, and I've tried both unsloth's Q6_K_XL and Meta's dynamic GGUFs. Any ideas?
EDIT: It seems like it's definitely related to the tools available. With them disabled, it's reasonably efficient. I guess it's just overly eager to call every tool it can unlike Qwen or Gemma in my experience.
I thought the feed would clutter my personal agent experience a bit, but the feed really is the evergreen use case. I asked Muse to go through all of my emails to figure out my interests, my portfolio holdings etc to fill up my Muse feed.
I then found this EU google search
I had a chill ball drop game in my head and spent the weekend making it by iterating with my Muse agent. Every pass was a conversation: tune the physics, test, report back what felt off, repeat. The ball went from draining straight through to staying up and chaining off everything.
Marty, the little neon orb bot in the game, is actually my agent's mascot. His Deep Scan power shows where the ball will bounce.
It is a free Android APK on itch.io with 10 levels, a combo multiplier, and soft pentatonic chimes that climb with your combo.
I am curious how other people would push this further. What would you have an agent iterate on next: level design, the sound, or something I am not thinking of?
Okay this is insane. I always worry about getting my tires rotated because I don't keep track of the mileage. I just had my muse (Bob) call discount tire and find out what the mileage was. I've included the transcript from the call below.
Muse also took care of setting up API
A test bed comparing Muse-Glimmer-30B against Qwen3.6-27B and Qwen3.8-27B under identical settings; with 32k-token budgets the three were about even (MMLU-Pro 82/82/80%).
muse saved me over $1k yesterday
was buying out my leased car and the dealership offered to handle all the hassle around the loan and dmv
what they didn’t say was they were hiding an enormous fee for doing so
something looked off and muse explained exactly what was going on in
I canceled my calorie tracker subscription since muse built one for me : i just take a photo of food to track calories and they are matched against goals I set up on muse.
An unofficial native macOS client for the Muse Code CLI in Meta AI's design language, sharing sessions with the terminal so work can resume in either place.
Refusal-direction ablation on Muse-Glimmer-30B that cut refusals from 128/150 to 3/150, adding an agentic-safety evaluation and publishing bf16 and GGUF uncensored weights.
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
Wires TypeSafe Jev into a Muse agent's decision loop via a shadow-mode router that asks typed questions before expensive or irreversible steps, plus a 23-skill library the router picks from.
ContextBolt SEO gives Muse keyword research, difficulty scores, live SERPs, competitor rankings, backlinks and site audits through a hosted MCP endpoint, at $35/month after a 7-day trial.
Podcasts work with scheduled tasks so you can have your Muse make you a new episode every day. I’ve been listening to AI news curated by my Muse while commuting to the office for the past few months and it’s great to timeshift things I want to learn more about to a Podcast I can
Full Value Dan spends a week using Muse to book dinners, sell on Facebook Marketplace, pay bills and triage DMs, scoring it 9/10 as an assistant and 6/10 at precise creative work.
I deleted Instagram from my phone a couple of years ago because so much of the feed felt irrelevant and distracting. But one thing I missed was seeing updates from my friends and family.
So I asked @Muse to build me a personal feed just for that. It used my DMs to figure out who
Meta’s Muse AI Agent already saved me $113/month on car insurance - no joke… BUT I fear agents will expand the Digital Divide for patients.
Older patients, less tech savvy patients, lower SES patients already face barriers accessing care. When the most tech savvy consumers now
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.
oh-my-musecode is a content bundle and CLI for Muse Code that installs 35 skills, slash commands, hooks, an MCP server and themes, with an ownership ledger so uninstall restores the machine byte for byte.
Don’t sleep on @Muse! You can eliminate so much friction if you’re a content creator. Just give it a few skills and it’ll use @HyperFrames_ to create explainer videos for you, straight from the app. 🤯#muse
Muse connectors could become the first real App Store of the Al era. 💙
If tons of consumers already have an agent, connecting your service instantly puts it in front of all of them. It won’t require new apps to download or interfaces to learn. It will just connect.
So, I finally tested Muse Spark 1.3. 2 real repos, 105 planted bugs, find and fix what you can. Original harness and API.
Big surprise:
Muse Spark 1.3 (max): 33
Fable 5.1 (high): 33
Grok 4.6 (xhigh): 27
Opus 5 (max): 27
Muse Spark 1.3 (high): 19
Meta joined the frontier.