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> total revenue: $4B > compute for training models: -$3B > compute for running models: -$2B > employee salaries: -$700M

Though not really representative of what users of said models may experience financially, at this point the question should be raised: if AI compute is 7x more expensive than developer salaries, what's the point? I thought the whole idea was to save money on human resources...

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Someday (probably), a model will be trained once that is better than a human at coding, and it will only need trained once.

It can then be used indefinitely for the cost of inference, which is cheap and will continue getting cheaper.

This sounds a whole lot like Pascal's wager (or Roko's basilisk, if you prefer) for trillionaires.

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