
Mark Zuckerberg
@finkd · Severní Amerika
Mark Zuckerberg patří mezi osobnosti, které Storyz World sleduje kvůli tématům byznysu a občanské společnosti v kapitole Severní Amerika. Země, k níž se sledování vztahuje: Spojené státy.
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. https://t.co/XQQEDEJGD7
Already powering dictation in the Meta desktop app and voice input in Muse Code. Live now on the Meta model API with a zero-data-retention tier. https://t.co/sppqZ0OSXz
It holds up on messy, real audio too -- trained across 70+ languages (with 25 validated at launch), handles mid-sentence code-switching, and manages hour-long sessions with 20+ speakers. You can bias it toward names and domain terms as well.
The model decides when to listen. It waits a little longer on hard words and commits faster on easy ones, using adaptive delay to predict each token and increase accuracy. With adaptive delay, the model is near the pareto front on speed-accuracy tradeoff.
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. https://t.co/LViMDSkbim
There's an SDK in developer preview for building your own agents on Muse Code. Embed them in your apps, connect custom tools, stream progress, and resume sessions later.
Sessions can share context with inter-session messaging. When two are working on things that affect each other, they share state directly, instead of the developer copying it over manually. https://t.co/EndnVZ9Wrw
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.