by _lnoc on 8/22/23, 2:31 AM with 134 comments
by mholt on 8/22/23, 3:39 AM
Simple statistical models that aren't "AI" so much as just generic ML were and are quite useful: like recommendation and newsfeed engines ("the Algorithm" as we call it so often today). Love 'em or hate 'em, they can be quite good at predicting interest/engagement.
The resurgence in deep learning in the 2010s has shown us new magic tricks, but they're still just that: parlor tricks. At least they're more convincing tricks than what we had 40 years ago!
That's what ultimately depresses me about AI. It's still just a parlor trick. We haven't actually taught computers to think, to reason, to be innovative. Deep learning is definitely having its day, but I suppose this too will pass unless we can unlock certain ways to make AI reliable and responsible. Or... to just start understanding it in general.
by slimsag on 8/22/23, 3:25 AM
I can't think of areas Amazon does worse in today than these two areas.
Reviews are so untrustworthy they are just noise.
Those coffee beans I ordered a month ago? I have to go back to my orders page, search (and for some reason their search is dirt slow) - then wade through unrelated products to finally find them.
But oh, hey, you just bought a vacuum cleaner? I know what you would really like! MORE VACUUMS!
I guess they innovated on those two areas in 1998, and then since then the only thing they did was remove the `review-count-rank` sorting option so their AI can suggest Amazon Brand products.
by sytelus on 8/22/23, 6:40 AM
by amarshall on 8/22/23, 4:44 AM
by brrrrrm on 8/22/23, 4:32 AM
by Sparkyte on 8/22/23, 7:47 AM