> Its the same middle schooler, nobody gave a time limit for how long it takes the middle schooler to solve the problem.
Yeah they do. If a middle schooler take 40 hours to solve a maths exam, they fail the exam.
> These AI models wont solve it no matter how much time spent, you have to make new models, like making new kids.
First: doesn't matter, "white collar jobs" aren't companies aren't paying for seat warmers, they're paying for problems solved, and not the kinds of problems 11 year olds can do.
Second: So far as I can tell, every written exam that not only 11 year olds but even 16 year olds take, and in many cases 21 year olds take, LLMs ace — the problem is coming up with new tests that describe the stuff we want that models can't do which humans can. This means that while I even agree these models have gaps, I can't actually describe those gaps in a systematic way, they just "vibe" like my own experience of continuing to misunderstand German as a Brit living in Berlin.
Third: going from 11 years old to adulthood, most or all atoms in your body will be replaced, and your brain architecture changes significantly. IIRC something like half of synapses get pruned by puberty.
Fourth: Taking a snapshot of a model and saying that snapshot can't learn, is like taking a sufficiently detailed MRI scan of a human brain and saying the same thing about the human you've imaged — training cut-offs are kinda arbitrary.
> No current model has demonstrated the ability to learn arbitrary white collar jobs, so no current model has done what it takes to be considered a general intelligence.
Both "intelligence" and "generality" are continuums, not booleans. It's famously hard for humans to learn new languages as they get older, for example.
All AI (not just LLMs) need a lot more experience than me, which means my intelligence is higher. When sufficient traing data exists, that doesn't matter because the AI can just make up for being stupid by being stupid really fast — which is how they can read and write in more languages than I know the names of.
On the other hand, LLMs so far have demonstrated — at the junior level of a fresh graduate of 21, let alone an 11 year old — demonstrated algebra, physics, chemistry, literature, coding, a hundred or so languages, medicine, law, politics, marketing, economics, and customer support. That's pretty general. Even if "fresh graduate" isn't a high standard for employment.
It took reading a significant fraction of the internet to get to that level because of their inefficiency, but they're superhumanly general, "Jack of all trades, master of none".
Well, superhuman compared to any individual. LLM generality only seems mediocre when compared to the entire human species at once, these models vastly exceed any single human because no single human speaks as many languages as these things let alone all the other stuff.