Comment on Tesla Steers Onto Train Tracks It Apparently Mistook for a Road, Police Warn
rottingleaf@lemmy.world 3 months agoAnd you believe and think that why? Most of us criticizing do that, because we have some idea what machine learning is and what it simply doesn’t solve. It’s not a hard to get knowledge.
DaTingGoBrrr@lemmy.ml 3 months ago
I think it’s unreasonable to state that it won’t happen within our lifetime. That’s hopefully 60+ years away for me. It’s a long time for computing and general AI development to advance. Just look at how much has happened in the technology field for the past 30 years.
“It always seems impossible until it’s done.” - Nelson Mandela
rottingleaf@lemmy.world 3 months ago
Sorry, but this is again abstractions and philosophy, in the genre of Steve Jobs themed motivational texts. Which I hate with boredom (get tired quickly of hating with passion).
Many things have been called “AI” and many will be. I’m certain some will bring very important change. And those may even use ML somewhere. For classification and clustering parts most likely, and maybe even extrapolation, but that’d be subject to a system of symbolic logic working above them at least, and they’ll have to find a way of adding entropy.
What they call “AI” now definitely won’t. Fundamentally.
Quoting that one guy who hasn’t been hanged\shot\beheaded while many many many more other people trying the same have been. Survivor’s error and such.
scratchee@feddit.uk 3 months ago
They don’t have to be any good, they just have to be significantly better than humans. Right now they’re… probably about average, there’s plenty of drunk or stupid humans bringing the average down.
It’s true that isn’t good enough, unlike humans, self driving cars are will be judged together, so people will focus on their dumbest antics, but once their average is significantly better than human average, that will start to overrule the individual examples.
rottingleaf@lemmy.world 3 months ago
Right now they are not that at all.
When people say neural nets are unable to reason, they don’t mean something fuzzy-cloudy like normies do, which can be rebutted by some other fuzzy-cloudy stuff. They literally mean that neural nets are unable to reason. They are not capable of logic.
DaTingGoBrrr@lemmy.ml 3 months ago
Innovators and visionaries is what drives us forward. If they listened all the nay-sayers we would get nowhere. I will keep being optimistic about the future developments of technology.
rottingleaf@lemmy.world 3 months ago
How can you not see that these sentences say nothing?
What’s “forward”? From Hypercard and Genera times to today is “forward”?
Who are “innovators and visionaries”? I mean, that’d be many people, but no Steve Jobs in the list, if that’s what made you write this.
Who are “nay-sayers”? If that’s, say, Richard Stallman, then all his nays on technology (as it happens, he’s kinda weird on other things) were correct.
And the final question, why do you think you can in any way feel the wind of change, when you don’t know the fundamental basics of the area of human knowledge where you “believe” in it? Don’t you think it’s not wind of change, it’s just usual marketing for clueless people?
Say, I see a lot of promising and wonderful things, but people not knowing fundamentals get excited over something stupid which is being advertised to them.