So, I tested Muse Wonder Full 1.0 on real work. 2 repos. 105 bugs frontier models missed in Q1 2026. Find and fix what you can.
I'm so surprised we need a new thread.
The results:
GPT-6 Astra (max): 45
Muse Wonder Full 1.0 (max): 44
Fable 5.1 (max): 43
Opus 5.5 (max): 41.7
Muse Spark 1.3 (max): 32.2
Grok 4.7 (xhigh): 29
@AIatMeta has just matched Anthropic and OpenAI. Huge congrats!
Next in this thread, more effort levels and more runs for Muse Wonder Full 1.0. All dropping tonight 🧵
🚨 side project alert 🚨
Announcing Muse Gadgets, an open source ESP32 firmware and Linux sdk so that you can make hardware devices that work with Muse.
Grab an API token from https://t.co/Q0dE0cYnCs and point your favorite coding agent at the github repo to build your own peripherals for Muse.
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.
@Muse I am building an application that helps me track the most awesome Magic The Gathering cards. Then I can browse different sets and ask @Muse to credit „wants” list on @CardmarketMagic so I can buy them. It has been a delight!
If you are in US - give it a try! A truly great product that can help you reach your goals. I have been working at getting better on Magic the Gathering with it with solid results!
1/ today we're rolling out Muse, our new personal ai assistant. Muse is always-on, wicked fast, can use a browser, connect to your apps, and is designed to be secure.
try it now: https://t.co/n7swQh9v6C.
Muse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the biggest jump we've made so far on coding and agentic work. Try it in Muse Code and our API.
Next up 🍉 and Muse Spark open weights releases coming soon.
1/ big announcement today: we will be releasing an open weight version of muse spark 1.2 soon.
we also are releasing muse glimmer, a 30B agentic model with open weights under apache 2.0. muse glimmer can run on 24GB of VRAM without losing agentic reliability. 🧵
muse code in beta is here: our first coding agent powered by our latest model, muse spark 1.2.
one command to install and start building. get it through Meta Model API.
I turned Dungeons & Dragons combat into an LLM benchmark.
Not serious research, very much a learning experiment: eval harness bugs, tactical decisions, dice rolls, and a real OpenRouter bill.
I wrote up D20bench here:
https://t.co/m35UdQKc1V