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The SOTA model dilemma is that you have to pay more and more to train models that focus on less and less of the AI task market, because 95% of tasks can be done by cheap small models.
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I think GP's thesis is that selling only to the US government would preserve their moat by preventing distillation.
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Also frees up more compute for recursive improvement, and gives them leverage over USG (makes regulatory & legal & other issues disappear) due to the frontier being significantly more effective for military use. There's a lot of chatter around distilled models being "close" to the frontier, but realistically they are optimized only to look good on benchmarks - and are still 6 months behind Anth / OAI models at that.
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If the US government is a monopsony buyer, why would it choose to pay high prices?
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Because (a) it prints money so why not and (b) the model actually has some capability it doesn't want anyone else to be able to access.
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