Yang Song (@DrYangSong)

Muse Spark 1.3 is here! The leap from 1.0 to 1.3 is nothing short of a miracle, and it took a lot of magic to make it happen. So proud of our team of magicians who sparked this incredible leap. And we are just getting started!

Mark Zuckerberg Verified account @finkd Sep 2

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.

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Yang Song @DrYangSong Aug 10

I’m personally very excited to see us take this step. I’ve long believed that the power of AGI should be broadly distributed, and this is the first of many moves at MSL toward making superintelligence accessible to everyone.

Mark Zuckerberg Verified account @finkd Aug 10

Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats to @alexandr_wang and the MSL team for all your great work on these models.
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Yang Song @DrYangSong Apr 8

Today we’re excited to release Muse Spark. It’s our first end-to-end test of the new stacks we’ve built at MSL, and a true testament to this incredible team. We’re eager to learn from your feedback!
ai.meta.com/blog/introduci…

ai.meta.com Introducing Muse Spark: Scaling Towards Personal Superintelligence

Yang Song @DrYangSong Oct 29, 2025

Applications change, but the principles are enduring. After a year's hard work led by @JCJesseLai, we are really excited to share this deep, systematic dive into the mathematical principles of diffusion models. This is a monograph we always wished we had.

Chieh-Hsin (Jesse) Lai Verified account @JCJesseLai Oct 29, 2025

Tired to go back to the original papers again and again? Our monograph: a systematic and fundamental recipe you can rely on!

📘 We’re excited to release 《The Principles of Diffusion Models》— with @DrYangSong, @gimdong58085414, @mittu1204, and @StefanoErmon.

It traces the core ideas that shaped diffusion modeling and explains how today’s models work, why they work, and where they’re heading.

🧵You’ll find the link and a few highlights in the thread.
We’d love to hear your thoughts and join some discussions!

⚡ Stay tuned for our markdown version, where you can drop your comments!

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Yang Song @DrYangSong Aug 5, 2025

Very excited to see this model released to the open-source community. It's still hard to believe that our latest techniques allow it to be so incredibly powerful yet so remarkably small.

Volodymyr Kyrylov Verified account @darkproger Aug 5, 2025

super excited to have contributed to gpt-oss. We have put a lot of love into both training the model and making the developer examples, check them out: github.com/openai/gpt-oss
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Yang Song

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