I'm happy to announce that I've joined Hugging Face.
What started as a personal project back in February is now something I get to work on full time.
Local AI has grown explosively this year. I've said this since the early oMLX releases: I want my friend who bought a MacBook yesterday to be able to run AI on it today. I believe MLX has that potential. Apple Silicon is the easiest entry point for a regular person to get started with AI, with no complicated hardware to assemble. And the open source community, including Hugging Face, has been growing that potential. That support has already made a huge difference.
Hugging Face is the best place for me to support oMLX and the MLX community with everything I have. For anyone getting into local AI, the first step usually starts at Hugging Face. Mine did too. I'm proud that I get to work at that entry point, where new ideas can be tried out.
oMLX stays exactly where it is, under the same Apache 2.0 license in the same repository, and I'll keep leading the project, same as before. What changes is that I can now spend far more time on it, move faster, and build something sustainable for the long term together with all the contributors who have put so much into it.
I also want to do more for MLX as a whole. oMLX is built on top of transformers, mlx-lm, mlx-vlm and the rest of the ecosystem, and I'm grateful to the people behind them. Rather than keeping everything inside oMLX, over time I want to push work upstream where it makes sense. And where the community needs something that doesn't exist yet, oMLX is a good place to try it first.
Thank you to the 264 contributors who have built oMLX with me, and to everyone who filed issues with detailed logs and reproductions so we could fix things. oMLX would not be what it is without you.
oMLX continues in the same place, in the same way. Just much faster.
HF's announcement: https://t.co/LjOGKGWw64
A kid who knows how to raid in WoW is unironically a better hire than 99% of non gamers. They develop team skills, coordination, leadership, how to master the respect of 40 people, how to share loot, maintaining a raid schedule, showing up on time, clear direct communication, how to get along with unique personalities, creating and executing on strategies, failing and trying again (perseverance), delayed gratification, etc. Invaluable skills are developed during raiding that are transferrable to the real world.
Starship is preparing to go to orbit. Flight 14 is targeting to launch as early as Tuesday, September 22, pending regulatory approval → https://t.co/LwJ4g6dg9v
We gave @nunudotai early access to Gemini 3.8 Flash and they took it to the Mun 🚀
As part of their upcoming gaming benchmark, they tasked several AI models to reach the Mun in the game Kerbal Space Program. Rather than build the rocket piece by piece, 3.8 Flash reverse engineered the spacecraft file format, wrote the code to generate an optimal rocket, loaded it in, and piloted it to a smooth landing on the Mun via text commands.
Check it out here:
Origin, our code hosting platform, is now live.
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Get started by syncing your repos from GitHub.
It is mindblowing to me how few people realize that their lives and everything they know will change drastically in the near future.
At this point, it should be pretty clear.
La reducción de costos de GPT-5.6 Luna y DeepSeek-V4-Flash no solo abarata su uso: también libera capacidad para entrenar modelos mejores.
Más eficiencia → más adopción → más datos → mejores modelos.
Un WIN-WIN de largo plazo.
Literalmente el abogado automatizo una pega gigante (si, posiblemente no lo hizo de la mejor manera), pero esto no habla tan mal del abogado o del estudio, si no que de lo mal que esta hecho el PJUD y la OJV.