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Not their first try. There’s been reporting about how they’ve kept pushing their model releases back because of underwhelming performance.
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... i dont think internal iteration counts dude. thats just called in-development.
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How is it their first try? They were leading the race with Llama 3.x a few years ago.
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As far as i remember, the entire AI org was essentially gutted and replaced with whoever Wang wanted to hire, and tbh that org completely failed to train llama 4 and I honestly doubt whatever techniques they used to ship llama 3 are at all relevant now. That was before reasoning models and the heavy emphasis on RL/post-training.

so yeah, this is essentially their first try with a completely new org.

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They were leading the race in a niche category a few years ago. Now they are, according to some benchmarks, even on the right playing field.
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