This sounds like the AI effect at work. Google’s got an AI that’s autonomously generating novel publishable scientific results and now that’s dismissed as them being just “good at math.”
I can see why it might seem that way from the small reply i gave, but contextually it was in response to you referencing a maths specific problem.
I also went out of my way to specifically raise the same points as in that link, wrt to "intelligence" measurements and definitions.
I wasn't advocating for one way or the other, just pointing out that (afaik) we don't currently have a good way of defining or measuring either kind of intelligence, let alone a way to compare them [*].
So timelines on when one will surpass the other by any objective measurements are moot.
[*] Comparisons on isolated tasks is possible and useful in some contexts,but not useful in a general measurement sense without an actual idea of what we should be measuring.
As in, you can measure which vehicle is heavier, but in a context of "Which of these is more red" , weight means nothing.
The root article that this thread is about isn’t about AGI at all, though. It’s about an AI that’s doing computer chip design.
You yourself quoted a response with the phrase "human intelligence" in an ML based context.
I was clearly replying to your comment and not the article itself.
Probably not one that stands up to scrutiny.
If they have fixed programming, the bias would be consistent, but still there, because it would be based upon systems that are already inherently bias.
Any current ML system is beholden to the data/constraints it was built with, if inherent bias exists in the data it will exist in the resulting system.
That's before you even start taking in to account the infrastructure that would be managing them being potentially corrupt or having their own interpretations of "public safety".
"These bots from
<generic third party>
are bringing in more cases against the <"good" people>, but these ones from<tech company with the same bigoted ideology as us>
can be tweaked to target the <"bad" people>, which of these two companies should we purchase our inventory from ?"