4 years ago we were on the brink of AI becoming proprietary and centralized, when OpenAI kept GPT3 closed and VCs started dumping money on researchers. From fully open science, to fully closed, in a matter of months. It was scary, and 1,000+ leading researchers and scientists banded together to show the world that it was possible to do the same work in the open, and build an ecosystem that benefits everyone. That was the @BigscienceW BLOOM project, and it put us back on track to open science, starting with forward-thinking organizations like @Meta releasing OPT. Look at us now. Open models have not only caught up, they're state of the art now. Not just LLMs, but models for document AI, speech to text, text to speech, generating images and more. We're closing in on 2 million open weight models on @huggingface. Thanks for the reminder @Thom_Wolf .

Jun 12, 2025 · 5:30 PM UTC

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Replying to @jeffboudier
The fact you can type in a line of code and implement 400k+ models instantly available.. This is prob mind-boggling to watch from the inside.
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Replying to @jeffboudier
Thom and Tim! This makes me very happy :)
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Replying to @jeffboudier
Open Source FTW 🙏
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Replying to @jeffboudier
the efforts by HF, EleutherAI etc. before ChatGPT became huge (during 2019-2022) were really important
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Replying to @jeffboudier
Absolutely, open source promotes collaboration and innovation!
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Replying to @jeffboudier
The impact of those collective efforts is still unfolding today.
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