Jiaming Song retweeted
1/ muse spark open is the most capable US open-weight model to date.
816B total params, 42B active. 1M-token context. natively multimodal. built for coding and agentic work like long-horizon tasks, hard software engineering, multi-step reasoning.
america! 🇺🇲
Jiaming Song retweeted
Muse Spark Open -- weights releasing today -- runs great on new Mac Studios thanks to work with @johnternus and Apple.
Jiaming Song retweeted
We have a huge pivot underway here at Epic, moving developers around to retool for maximum AI acceleration.
The aim isn't to do the same stuff with fewer people, but to enable everyone here to build MORE and BETTER stuff, and to bring the benefits to all teams using Unreal.
Jiaming Song retweeted
Today we are launching Muse Wonder and Muse Wonder Full, our best models yet, with state-of-the-art performance on personal and professional agentic tasks. They are built for long running, multi step work. Muse Wonder is available today in the Meta Model API and Muse Code, and Muse Wonder Full in Muse Code.
Jiaming Song retweeted
We launched 🍉 (Muse Wonder) and 🍉 Ultra (Muse Wonder Full) today!
What excites me most is how much closer we’re getting to agents you can actually delegate work to. Personal agents that understand you and your life, and professional agents that can take on complex, long-running projects. 🍉 is designed for personal and professional agent use
Pretty Wonder Full to see this come together just a year after starting the agent team at TBD Labs. Huge credit to the incredible team that made it happen!
Jiaming Song retweeted
🍉 🍉 🍉 Muse Wonder and Muse Wonder Full is here. A new series of model where we push hard towards the personal superintelligence mission. The models achieve sota on internal personal and professional agent tasks across domains. Try it out today!
research.meta.ai/blog/muse-w…
Jiaming Song retweeted
5s of video, generated in 1.3s!
Nunchux brings @MiniMax’s MiniMax-H3 to @AMD MI355X with up to 26.7× faster inference than SGLang on 8 GPUs @AMDServer
And with streaming generation, you can change the prompt as the video plays, steering what happens next.
One stack, optimized across hardware.
Free access to MiniMax-H3 is coming soon! Join the waitlist now at nunchux.ai.
Our blog: nunchux.ai/blog/video-genera…
#AI #VideoGeneration #MiniMaxH3
Jiaming Song retweeted
i collect vintage pens
when @alexandr_wang first sent me a TestFlight to this, i was in Amsterdam and just abt to go to bed
an hour later, i texted him with ‘holy shit’
it completely changed my travel plans the next day, and helped me find a rare pen i was in search of
SOTA
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: muse.ai.
Jiaming Song retweeted
We're launching @muse, our new personal AI agent! Always on, fast, and built to be private, safe, and secure. Our biggest focus was the security architecture underneath. Each Muse runs in its own secure VM, a separate Sentinel checks every action, it never sees your passwords, and it asks before anything sensitive. More here: security.muse.ai
Jiaming Song retweeted
I’ve had a lot of fun exploring Muse Spark 1.3 max!
Muse Spark 1.3 also brings exciting progress in visual coding, where advances in coding, agents, CUA, and multimodal converge to transform a spark of imagination into a vivid, compelling experience. Please give it a try!
Jiaming Song retweeted
1/ we just publicly released Muse Spark 1.3 max!
we see significantly stronger coding and agentic performance on muse spark 1.3 max, so would strongly recommend trying it out even if you've already tried muse spark 1.3 high or muse spark 1.3 xhigh.
Jiaming Song retweeted
Nunchux is live at nunchux.ai!
We’re building the frontier of multimodal generative AI inference: fast, affordable, high-quality serving for image, video, and world models.
Our Modelverse brings 30+ image, video, and avatar models behind one API. Use Nunchux-optimized models in Radical Speed and Radical Value tiers, alongside partner APIs. More models are on the way.
We’re opening access through the waitlist now. New accounts get $10 in credits.
Read our launch blog: nunchux.ai/blog/building-the…
Jiaming Song retweeted
Today we're releasing Muse Spark 1.3, our strongest model for agentic and coding tasks in the spark model line. It’s designed to support longer-horizon work, excel in agentic tasks, and follow complex instructions more reliably than previous models. Muse Spark 1.3 is available today in Muse Code and Meta Model API.
research.meta.ai/blog/introd…
Jiaming Song retweeted
this is a cool way to show progress
Wow!! we’re blown away by @Meta Muse Spark progress: 1.1 → 1.2 → 1.3.
Same building, same task of 3D simulation given only photos. The leap in geometry, structure, and visual fidelity is striking—even as the total cost stays at just $0.60.
Only 55 days from 1.1 to 1.3. Incredible pace, @AIatMeta! Congrats @alexandr_wang @shengjia_zhao @ren_hongyu etc! 🚀🚀
Jiaming Song retweeted
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.
Jiaming Song retweeted
Muse Voice Transcribe is MSL's first real-time audio perception model -- rolling out today. SOTA in streaming speech-to-text, it handles speaker diarization, and endpointing natively in a single model.
Jiaming Song retweeted

Chelsea FC@ChelseaFCAug 26
United Kingdom
United KingdomConnected via WebAccount-level information, not a live location or per-post device.
No caption needed.
Jiaming Song retweeted
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 like charts and QR codes.
Text-to-image, single-image and multi-image editing, and multi-reference composition all live in one model, so there's no multi-step pipeline to stitch together.
Start building → bit.ly/4gsPeOV


























