(I’m not sure but why would this be important? Sorry for the silly answer, feel free to reply in the anonymous form again)
I think a good baseline for comparison would be
Training large ML models (expensive)
Running trained ML models (much cheaper)
I think comparing to blockchain is wrong, because
it was explicitly designed to be resource intensive on purpose (this adds to the security of proof-of-work blockchains)
there is a financial incentive to use a specific (very high) amount of resources on blockchain mining (because what you get is literally a currency, and this currency has a certain value, so it’s worthwhile to spend any money lower than that value on the mining process)
None of these are true for ML/AI, where your incentive is more something like “do useful things”
(I’m not sure but why would this be important? Sorry for the silly answer, feel free to reply in the anonymous form again)
I think a good baseline for comparison would be
Training large ML models (expensive)
Running trained ML models (much cheaper)
I think comparing to blockchain is wrong, because
it was explicitly designed to be resource intensive on purpose (this adds to the security of proof-of-work blockchains)
there is a financial incentive to use a specific (very high) amount of resources on blockchain mining (because what you get is literally a currency, and this currency has a certain value, so it’s worthwhile to spend any money lower than that value on the mining process)
None of these are true for ML/AI, where your incentive is more something like “do useful things”