@antavedissian
Kudos to Hugging Face on dropping a 3B model w/ 128k context and dual reasoning modes that beats 4B peers 👏
Open models are becoming smaller, better, and actually usable at the edge. And Hugging Face is open-sourcing everything, not just the weights.
This confirms a longstanding belief: AI's future is small, sovereign, and composable.
Smaller models unlock powerful possibilities in decentralized AI, like decentralized inference and on-device agents.
This means we're moving toward:
- less reliance on centralized clouds, meaning models can run closer to the source of data (better network resilience and improved data privacy)
- lower latency, more private AI agents that run on-device (more personalized experienced without compromising privacy and relying on remote servers)
IMO - this convergence of efficient, open-source AI with decentralized AI infra is where the most exciting innovations in "crypto x AI" will emerge.
Exciting times ahead!
https://huggingface.co/blog/smollm3
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