[atypeoferror]

That's pretty funny, but not actually true.

I work at a company where we process vast amounts of retailer advertising data, and one of the things we need to do is tag images and extract data from deals. Although humans are still involved in this, at this point they are mostly checking the work of our ML models. This dramatically increases the speed with which we are able to do this - and this speed is one of the things that makes us attractive to our clients.

[shagie]

It's hyperbole and mocking AWS. The tweet chain starts at https://twitter.com/QuinnyPig/status/1173367909369802752 (rolled up https://threadreaderapp.com/thread/1173367909369802752.html though sometimes the replies to the posts are amusing too) and should be taken with sufficient salt to concern a doctor.

Though, I wouldn't be surprised that if overall, people have spent more time on compute than have made from the models. There are companies that treat data science properly and are doing it well - but in the previous financial era people were inclined to throw money at things without clear criteria for success.