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.