Adding noise is generally helpful for regularization in ML. Most modern deep learning approaches do this in one way or the other - mostly dropout. It improves generalization capabilities of the model.

In that case the speedup would be linear.

Sounds like bs if you look at Russian numbers.

When I interviewed at IBM in Germany in the late 00s I was rejected and got crystal clear feedback on why - and that is a big American company in Germany.

Same but in the US (NYC) -- and I've thought a little better of them ever since!

How would you get the money you possess and want to launder on the stolen credit card? That more sounds like a method to extract money from stolen credit cards, but not a valid way to launder money.

Functions are by definition not random. Randomness would break: "In mathematics, a function from a set X to a set Y assigns to each element of X exactly one element of Y"

"Function" has (at least) two meanings. The last clause is not talking about functions in the mathematical sense. It could have been worded clearer, sure.

Come on, it's pretty delusional to think large scale transformer LMs alone could ever reach AGI.

In my experience the Icelandic vikings are quite a bit bigger on average. ;)

The truth is that quite some jobs pay >=100k in Germany. Usually needs to be one level above senior engineer, so staff eng. or some kind of manager.

Don't think it's necessarily wrong though. I can't think of many professions where a large amount of professionals are pretty bad at their jobs.