XIndustry07:26Alexandr Wang@alexandr_wangafter an exciting week of launches (muse wonder [full] & muse spark open), i want to write a note of appreciation to the amazing research teams at meta superintelligence labs on reaching such a special milestone ♥️ we started MSL and TBD a little more than a year ago and set a goal of producing a frontier model within a year or so. given where llama4 landed, that was an incredibly audacious goal, and we knew it wouldn't be easy. many people told us it would be impossible. we knew it was unlikely, but still worth doing. a remarkable group of researchers and engineers joined the effort from inside and outside meta. every single person came in, picked up a shovel, and got to work with earnestness and urgency. nobody asked whose job it was. we assembled a team of the most brilliant people i have ever had the opportunity to work with (and remember, i was an HRT intern 🙃). i am surrounded by ambitious, visionary, technically excellent, hard-working, pragmatic, thoughtful scientists, engineers, and product folks—people who will chase a weird loss spike past midnight just because they need to know why. these models are the product of their passion, hard work, and brilliance. somewhat paradoxically, when we started TBD, we set a principle of no deadlines. we knew we had an astronomical amount of work ahead of us—across pretraining, post-training, RL, multimodal, infrastructure, safety, data, AND frontier research. there was no use setting arbitrary timelines—we just had to get to work, be thoughtful, and build the foundations of a frontier research effort in record time. and run after run, this team did exactly that. our researchers are magicians. i can only describe building these models with this team as a wondrous journey of scientific discovery. i am constantly amazed by what we can accomplish with scaling. i will remember this past year for the rest of my life—the late nights, the broken runs, the evals that came back better than any of us dared to hope. watching this team create wonder after wonder has been a true and deep gift. more than just the models we released this week, we have built a machine that builds new models. it often sounds like a cop-out to say labs can just turn the crank to keep scaling, but now i have seen it first-hand. sure, it's a lot of work and a careful process, but we have built a scalable system to keep advancing at the frontier, and i am really proud of how fast this team keeps making these models better. lastly, i get to work with researchers who care deeply about how their work benefits humanity. it's easy to forget when everything is changing so fast, but the whole damn point is to make people's lives better. time and time again, i have seen our researchers, engineers, and product folks build our technology with care so it can truly be good for the world—whether that's building the best models for muse, thoughtfully open-sourcing strong models, or making sure the alignment and security of our systems are rock solid. this is a team of people who never forget there's a real person on the other side of every prompt. thank you to everyone at MSL for being part of this crazy journey over the past year. i'm so grateful for every one of you, and our work is not done!Collected by WispRead in full↗
XIndustry23:30Alexandr Wang@alexandr_wang@Kenny___Rose this is what it’s all been building towardsCollected by WispRead in full↗
XIndustry01:14Alexandr Wang@alexandr_wang[muse wonder full directed and edited this whole shot with minimal art direction. it made beautiful artistic and aesthetic choices. i'm quite proud of seeing muse wonder full grow up to be such a full-fledged cinematic force 🥹]Collected by WispRead in full↗
XIndustry00:07Alexandr Wang@alexandr_wang@benhylak @Muse @united you don’t muse, you loseCollected by WispRead in full↗
XIndustry23:15Alexandr Wang@alexandr_wang@shafu0x bruh i slaved in the enterprise & gov mines as a corposlop for a decade before my current era. you don’t know what I’ve been thruCollected by WispRead in full↗
XIndustry01:07Alexandr Wang@alexandr_wang3/ muse spark open is available today through API platforms at Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter and Together AI. model weights are available for download on Amazon SageMaker AI, Google Cloud Model Garden, Hugging Face, and Microsoft Foundry Model Catalog.Collected by WispRead in full↗
XIndustry04:30Alexandr Wang@alexandr_wang@eriktorenberg criminal that @natfriedman isn't thereCollected by WispRead in full↗
XIndustry01:04Alexandr Wang@alexandr_wang1/ 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! 🇺🇲 https://t.co/NjtOB7aY9DCollected by WispRead in full↗
XIndustry23:37Alexandr Wang@alexandr_wangyou see, meta superintelligence labs is in South Bay so if someone you don’t know is trying to talk to you, you KNOW something is up https://t.co/QQH7Rm78SCCollected by WispRead in full↗
XIndustry12:11Alexandr Wang@alexandr_wangthoughtful review of muse wonder full clearly lots to improve on but great to see people enjoy using the model! https://t.co/m4sdEp9Z2NCollected by WispRead in full↗
XIndustry04:45Alexandr Wang@alexandr_wang10 new papers in health science research. all written with muse models in under 4 weeks. health is one of the areas where we believe muse is going to have the greatest positive impact on humanity ❤️ https://t.co/eejFDFd2CoCollected by WispRead in full↗
XIndustry00:02Alexandr Wang@alexandr_wangwe're going to have to look into what happened here [sound on 🔊, made with muse wonder full] https://t.co/pE9K9MiTqsCollected by WispRead in full↗
XIndustry08:30Alexandr Wang@alexandr_wangthoughtful review of muse wonder and muse wonder full from the lovely claire vo! https://t.co/VneEUPK6f6Collected by WispRead in full↗
XIndustry04:07Alexandr Wang@alexandr_wangpretty cool example of an advanced physics visualization using muse wonder full 🍉 https://t.co/yusJ7QHT7eCollected by WispRead in full↗
XIndustry12:16Alexandr Wang@alexandr_wangokay this was very good. well done https://t.co/wrfOt85oGnCollected by WispRead in full↗
XIndustry04:52Alexandr Wang@alexandr_wangstill room for muse wonder full to improve... we are working on it! https://t.co/D804UwQQQiCollected by WispRead in full↗
XIndustry02:35Alexandr Wang@alexandr_wangmuse wonder full is SOTA on VCB 1-100, new coding eval out today https://t.co/PdN1m05g1VCollected by WispRead in full↗
XIndustry23:52Alexandr Wang@alexandr_wangmuse wonder sota on hard document ocr tasks the more you know! https://t.co/3BqOkxbLI9Collected by WispRead in full↗
XIndustry23:50Alexandr Wang@alexandr_wang@spottedinprod @alexcornell hahahaha ok well I’ll take the baitCollected by WispRead in full↗