Post by clem 🤗 on X

It's easier than ever to train, optimize and run your own models thanks to open-source (versus delegating all learning, control, capabilities to black-box APIs). Cool to see @karpathy proving it once more by leveraging @huggingface fineweb (t.co

700 likes21 repliesPosted Oct 13, 2025

View the original on X Written by clem 🤗. Captured Sep 4, 2026.

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Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: energetic
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

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Sounds a bit sensationalized to me, but the core point is right: cyber-security teams need to understand and use AI more, which is exactly why open-source matters (also, shows that APIs aren't safer for these risks than open-weights)

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Beautiful work from @sundarpichai @demishassabis and team with open weights on HF: t.co I'm so excited about the application of AI for biology and chemistry, especially in the open like this for all to benefit!

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It's been released just a few days ago and already more than 500 derivative models of @deepseek_ai have been created all over the world on @huggingface with 2.5 million downloads (5x the original weights). The power of decentralized open-source AI!

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Thanks to everyone who asked Microsoft to open-source Phi4, it worked! What other model is currently kept secret/closed-source/behind an API and should be released to the world for maximum positive impact?

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I might be working this weekend as it sounds like we’re in challenging times for AI CEOs 😅😅😅 Kidding aside, thanks for all your contributions to open-source AI @EMostaque and let’s support @StabilityAI for them to keep pushing the field!

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