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This is the magical thing that happens when AI research happens in the open. Deepseek published their model and their methodology and then the nice people at the University of Illinois are able to build on it.

When OpenAI was launched this is what I thought it was going to be like. Something, something for the betterment of man kind.

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I'm always surprised at how many LLM research papers are published on here, so despite OpenAI, I think it's absolutely happening.

Unfortunately the "open"AI effect is starting to show in other labs as well. DeepMind recently announced a min 6months delay in publishing their SotA research, to give them a market advantage. I get it, but it's sad that it's happening.

The good thing is that there are a lot of companies out there that want to make a name for themselves. Mistral started like that with Apache 2.0 models, now ds w/ MIT models, and so on. And if the past year is a good indicator, it seems that closed SotA to open close-to-SotA is 6-3 months. So that's good.

I also find interesting LeCun's take that "there is no closed source moat, or not for long". In a podcast he went into detail on this, saying that "people move companies, and people talk". If someone finds some secret sauce, the ideas will move around and other labs will catch up quickly. So there's some hope.

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