1. The most built-upon model on the Hugging Face Hub isn’t Llama or Qwen. It’s FLUX.1-dev from Black F... The most built-upon model on the Hugging Face Hub isn’t Llama or Qwen. It’s FLUX.1-dev from Black Forest Labs, a German lab: 43k derivative models. Europe trained ~8% of the open-m 10/19 07:20 ♡
2. $40M to ~$1B in under two years $40M to ~$1B in under two years Thomas Wolf @Thom_Wolf Fun and crazy napkin math: Meta, NVIDIA, Alibaba, DeepSeek, Moonshot, Mistral and ~30 other labs have shared close to $1B wor 10/19 00:27 ♡
3. Fun and crazy napkin math: Meta, NVIDIA, Alibaba, DeepSeek, Moonshot, Mistral and ~30 other labs hav... Fun and crazy napkin math: Meta, NVIDIA, Alibaba, DeepSeek, Moonshot, Mistral and ~30 other labs have shared close to $1B worth of training compute on the Hugging Face Hub Free to 10/18 22:34 ♡
4. we’re getting used to it by now but DeepSeek calling this a “minor update” while moving Terminal-Ben... we’re getting used to it by now but DeepSeek calling this a “minor update” while moving Terminal-Bench 4.0 from 31.2 to 42.3 is very funny. also reports 77.0 on DeepSWE (vs 74.0 fo 10/17 18:17 ♡
5. "how to avoid brain rot" was a great watch. some of my favorites points: - using ai to ask yourself ... "how to avoid brain rot" was a great watch. some of my favorites points: - using ai to ask yourself socratic questions instead of giving you the answer makes you feel like you' 10/17 18:01 ♡
6. it's time to invent math 2.0 (sounds on) it's time to invent math 2.0 (sounds on) Your browser does not support the video tag. 🔗 View on Twitter SAIR @SAIRfoundation The math community deserves its own AI syst 10/16 23:36 ♡
7. we’re so back we’re so back Alexandr Wang @alexandr_wang 1/ muse spark open is the most capable US open-weight model to date. 816B total params, 42B active. 1M-token context. natively multimodal 10/16 02:15 ♡
8. how i feel using this cutom tiny worklouder to switch between 36 sessions how i feel using this cutom tiny worklouder to switch between 36 sessions 💬 12 🔄 1 ❤️ 51 👀 6288 📊 15 ⚡ Powered by xgo.ing 10/15 21:09 ♡
9. As always, great to read METR’s thoughtful and in-depth work on this topic As always, great to read METR’s thoughtful and in-depth work on this topic METR @METR_Evals If an AI developer was on track to lose control of its internal agents, would anyone out 10/15 18:52 ♡
10. W wat. nanoGPT, but it trains inside a tweet. GPU-poor final form tap and press train https://t.co/K9Z... wat. nanoGPT, but it trains inside a tweet. GPU-poor final form tap and press train thomwolf-premiers-mots.static.hf.space/share.html?v=4 💬 16 🔄 12 ❤️ 95 👀 10/14 22:46 ♡
