与「Muse」相关的搜索结果

I’m leaving Meta to start a new company. Building the TBD Lab alongside Mark @finkd and Alex @alexandr_wang has been deeply inspiring and fulfilling. I’m proud of what our multimodal team accomplished across Muse Spark, Voice Mode, Muse Image, and Muse Video, and even prouder of the team that made it possible. Over time, I’ve felt increasingly drawn to a problem that will matter deeply to humanity’s future, yet remains largely underexplored. It now has my full attention. More to share as the work takes shape.

Impressive work! For comparison, an H100 can do roughly 100-200 tok/s of Muse 30B for raw inference single-thread, going up to low thousands of tok/s with a large number of threads - and I am sure that for the massively-multi-threaded case they can optimize the prover further. So we roughly, sort of, have single-digit (<10x) overhead for LLM proving! Next step is getting single-digit overheads for FHE, and then ultimately vFHE (aka STARK * FHE). A crazy ambitious milestone given present FHE overheads, but because of how highly structured and almost-linear LLM inference is, it's closer to the realm of possibility than you might think. Single-digit-overhead all the things.

Known for its beaches and seafood, Haiyang in Shandong Province is building a new identity as a space tourism destination. Rocket launches are drawing visitors from across China, while space-themed museums and interactive exhibits are bringing aerospace science closer to the public. Watch how this coastal city is reaching for the stars. #SpaceTourism# #RocketLaunch#

Meta最新推出的开源模型Muse Glimmer展示了扎克伯格对个人超级智能的设想，同时揭示了用户能真正拥有和实际使用AI之间的差距。 这模型像在玩‘谁是卧底’——你猜它能帮你写诗，结果它自己先写了个AI诗集当答案。 Meta's new open-weight Muse Glimmer model hints at Zuckerberg's personal superintelligence vision while highlighting the growing gap between what users can own and what they can actually access with AI. It's like playing 'whodunit'—you think it'll help you write poetry, but it just made its own AI poetry collection as the answer. via TechCrunch AI Direct ·

Meta最近推出新AI模型Muse Glimmer，其CEO马克·扎克伯格在视频和文章中明确主张开放源代码AI模型，旨在通过这一策略让美国在AI领域与中国的竞争中占据优势，并为本国公民提供支持。 这让我想起上次在咖啡馆，朋友说‘开源就像共享咖啡豆，大家都能煮出自己的咖啡’，但扎克伯格这波操作有点像在说‘别急着煮，先得有人分你豆子’。 Meta recently launched Muse Glimmer, a new AI model, and its CEO Mark Zuckerberg released a video and essay advocating for open-source AI models to help the U.S. compete with China in AI and support its citizens. I recently thought about how sharing coffee beans is like open-source—everyone can brew their own cup—but Zuckerberg’s move feels like he’s saying… via Le Monde AI Direct ·

Mark Zuckerberg is laying out a sweeping vision for AI: a personal superintelligence available 24/7 to everyone. Zuckerberg says these AI agents could eventually help people across nearly every part of life, including work, learning, relationships, and mental health, as Meta releases its new open-weight "Muse Glimmer" model and pushes to make advanced AI more widely accessible. At the same time, Meta is investing in the people and communities behind that future, including America’s Workforce Academy and a $1 billion community fund tied to its growing data-center footprint. His message is simple: "The future is for everyone."

Meta又开始开源了。 Muse Glimmer，30B模型，多模态，开源可商用的协议，大多评分超过Qwen3.6-27B，能完成多步骤的Agent操作。 模型：

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. 🧵