open-source-ai

a metaphor that might be useful is what vascular action did to primordial flora.
https://x.com/karpathy/status/1938626382248149433?t=5CiiOkY8pcwmpkg6_2ahSg&s=19

ultimately, we're still in a naturally selective world. human knowledge is only scalable as much as it can be exported, and "la technique" (Pepin) is prescriptively low-cost reasoning.

chat -> core -> selective frontier

I’m so excited to announce Gemma 3n is here! 🎉

🔊Multimodal (text/audio/image/video) understanding
🤯Runs with as little as 2GB of RAM
🏆First model under 10B with @lmarena_ai score of 1300+

Available now on @huggingface, @kaggle, llama.cpp, https://t.co/CNDy479EEv, and more https://t.co/Xap0ymhCmr

The race for LLM "cognitive core" - a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing.
Its features are slowly crystalizing:

- Natively multimodal