Was spending too much time reading Tweets, so set out to write down why one resignation turned the embers of AI fear into a wildfire -- and importantly square which claims I think are valid or hyperbole in the resulting discourse. interconnects.ai/p/one-resig…

Super happy to share our intention to join forces with NVIDIA in a $12,930,300,000 acquisition 💛💚 10 years after starting Hugging Face, open-source AI is at an inflection point. Thanks to the community, we’ve shown that it can be a complement, and even an alternative, to closed-source APIs. But for it to happen at larger scale, it needs more compute, more support, more collaboration and more visibility. That’s why we went to talk to Jensen, who offered to do exactly that with us. In addition to doubling down on NVIDIA’s massive contributions to open-source AI (I called them the “King of American open-source AI” earlier this year), they’ve committed to strongly supporting Hugging Face and our mission while keeping the platform open, independent and compute agnostic. The founders and the team are all staying to keep pushing this mission forward. Together, we think we can make open source the default way to build AI, with the goal of empowering 100 million AI builders to own their intelligence rather than rent it. Excited about the next 10 years! 🤗🤗🤗

Thank you all for the kind words under the demo I posted :D The demo is now officially public and open source for you to play with, modify and build on top of. Feel free to tag me if you make something cool with it :) Also thank you @iwoplaza for participating in my silly video haha You can run it like any other TypeGPU example here: typegpu.com/examples/#exampl… The source code lives in the TypeGPU monorepo: github.com/software-mansion/… The repacked weights used by the example live here: huggingface.co/reczkok/depth…

we had a significant security incident during evaluation of our models. we are sharing what we have learned so far. thanks to @huggingface for the partnership on this. openai.com/index/hugging-fac…

Don’t ask Fable about @elder_plinius

Introducing our first model, Un-0! We trained an image generator powered by a backbone of coupled oscillators in place of a more traditional conventional neural network.

Announcing Talkie: a new, open-weight historical LLM! We trained and finetuned a 13B model on a newly-curated dataset of only pre-1930 data. Try it below! with @AlecRad and @status_effects 🧵

My favorite editing model, FLUX.2 [klein] 9B, just got 2x faster: Meet FLUX.2 [klein] 9B-KV 😍💨 > Using KV-Cache Optimization to reduce computation & speed up inference by up to 2.5 times for multi-reference editing love how well it edits "around" the bullets

i sit in parks…

This is how giraffes make their necks longer