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cheriottoday at 7:01 PM1 replyview on HN

I’ll be impressed if somebody can make that work considering the vastly larger compute required.


Replies

aleph_minus_onetoday at 7:19 PM

> I’ll be impressed if somebody can make that work considering the vastly larger compute required.

I think you underestimate the computational ressources that the mentioned (and similar-kinded) scientific projects needed. Also consider how much computational ressources people invested into cryptocurrency mining.

No, I think the reasons are different:

- Many companies that train AI model use training data which must not be distributed for copyright reasons (and using it is a legal gray zone)x.

- Also consider that the amount of training data is insane. Scientific projects (and cryptocurrency mining, too) have the property that typically the amount of data (storage requirements) is small (or at least the computation can be partitioned so that each sub-task needs little data), but the required computing ressources are insane.

- AI companies consider a huge part of their training data as their "secret sauce" (they often even paid lots of money to generate it, for example by paying world-renowned experts for writing an answer for some important question).

Thus: Yes, the required computation ressources are huge, but this is a problem for which I consider it to be plausible that it can be solved. The real problems are in my opinion different.