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Your just missing many things and so have an incorrect picture of the situation - k3 is not on par with fable or astra. Closed models remain far better than best open weights at least today. - compute is not just used for training, more and more is inf - even in training you don’t do one run, you do many. Final run is a small portion of total compute.

The world is extremely compute constrained currently, like extremely.

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This is evidenced by the prices on every large-model capable device/node increasing significantly over the last year. Demand is far exceeding supply.

That, or they are not operating profitable... If demand eats up actual pricing remains to be seen.

Ah, they're not profitable for sure. For example, OpenAI is losing tens of billions a year.

K3 feels a little under-trained. There's a huge gap between how much it knows when you talk to it, vs how well it performs on coding benchmarks. I'm quietly hopeful for some big post-training gains like we saw with the GLM-5 series, but you're right, the hype about being "Fable at home" was wishful thinking.

Also it's bizarre that K3 already feels old/dated.

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