What kind of source is GazeOn? Based off the top menu items, looks like a pro-AI rag. Biased source.
To give them an ounce of credit, there are many factors that would prevent any sort of accurate reporting on those numbers. To take that credit away, they confidently harp on their own poorly sourced number of 75.
Whether AI is explicitly stated as the cause, or even effective at the job functions its attempting to replace is irrelevant. Businesses are plowing ahead with it and it is certainly resulting in job cuts, to say nothing of the interference its causing in the hiring process once you’re unemployed.
We need to temper our fears of an AI driven world, but we also need to treat the very real and observable consequences of it as the threat that it is.
romantired@shibanu.app 8 months ago
I remember the times when people used to say, well, let’s talk when a computer beats a human in chess. After Deep Blue defeated Kasparov, everyone started saying, oh, it’s all nonsense, just a set of algorithms. The wheel of ‘betrayal-victory’… )
squaresinger@lemmy.world 8 months ago
The issue here is that human intelligence and computer intelligence work completely different and things that are easy for one are hard for the other.
Because of that, measures of intelligence don’t really work across humans and computers and it’s really easy to misjudge which milestones are meaningful and which aren’t.
For example, it’s super hard for a human to perform 100 additions within a second, and a human who could do that would be perceived as absolutely super human. But for a computer that’s ridiculously easy. While on the other hand there are things a child can do that were impossible for computers just a few years ago (e.g. reckognizing a bird).
(Relevant, if slightly outdated, XKCD: xkcd.com/1425/)
For humans, playing high-level chess is really hard, so we arbitrarily chose it as a measure of intelligence: “Only very intelligent people can beat Kasparov”. So we figured that a computer being able to do that task must be intelligent too. Turns out that chess greatly benefits from large memory and fast-but-simple calculations, two things computers are really, really good at and humans are not.
And it turns out that, contrary to what many people believed, chess doesn’t actually require any generally intelligent code at all. In fact, a more general approach (like LLMs) actually performs much, much worse at specific tasks like chess, as exemplified by some chess program for the Atari beating one LLM after another.
romantired@shibanu.app 8 months ago
Good answer, thank you!