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524 points noperator | 3 comments | | HN request time: 0.447s | source
1. GMoromisato ◴[] No.44493339[source]
If you take the 13 seconds of processing time and multiply by 350 million (the rough population of the US), you get:

~144 years of GPU time.

Obviously, any AI provider can parallelize this and complete it in weeks/days, but it does highlight (for me at least) that LLMs are going to increase the power of large companies. I don't think a startup will be able to afford large-scale profiling systems.

For example, imagine Google creating a profile for every GMail account. It would end up with an invaluable dataset that cannot be easily reproduced by a competitor, even if they had all the data.

[But, of course, feel free to correct my math and assumptions.]

replies(2): >>44494711 #>>44497524 #
2. smokel ◴[] No.44494711[source]
What will they find out? That we are humans?
3. fragmede ◴[] No.44497524[source]
It seems more reasonable to assume Google's been doing that since before Gmail launched.