Why are experts so often wrong?
Because we have lost track of what an expert is.
An expert is someone who has a deep experience with a given set of problems and a track record of getting things mostly right.
An experienced plumber is likely an expert at plumbing.
An expert is not someone who has studied a topic deeply. That’s a scholar not an expert.
What expert would be relevant for predicting the future of AI?
People have consistently predicted AI progress properly.
If such people exist, they are uncommon.
In fact, for many problems, there are few relevant experts.
We just don’t know. Often that’s the best answer.
@STeplyakov I consider async/parallel two very distinct topics. For desktop apps, I prefer to run purely async & non-blocking code with unlimited concurrency on a single UI thread, and perform parallel work on a bounded thread pool. Best of both worlds.
@DiademGames I, a small part of the vast emptiness of the internet, agree. Main point is probably whether you're code- or art-/design-driven. Case in point: Playdead switched from custom to Unity, and like it.
@thebookisclosed@_h0x0d_ What is Explorer doing for several hundred milliseconds after double-clicking a folder? Why does the volume slider visibly re-enact all volume changes since it was last shown?
@dcuthbert@LargeCardinal Nice paper, but the QUBO solving and Q hardware benchmark is... uhm... "not convincing". What was the classical exact algorithm? How was it implemented? Why compare a heuristic with an exact solver? How about comparing with state of the art: Gurobi, Hexaly, ...? Etc.
"Stop what you're doing, you're late for a meeting I've just decided starts immediately. Here, lemme set off a siren in your home until you join."
Phonecalls are wild.
It's a bit of a rant but it has a link to a really useful article from Herb Sutter in it and some of my opinions might be illuminating :D
https://t.co/x2imFASt13