I am not sure if it is necessarily moving the goalposts. I think AGI is such a fuzzy concept that everybody has wildly different definitions/tests for it.

I think it's also mostly a useless discussion. Since LLMs use a vastly different substrate, different training methods, etc. than humans, the cognitive abilities are always going to be a large mismatch to those of humans. On the one hand, they have surpassed humans in many areas, with superhuman recall, exploration of several paths, etc. On the other hand, they miss a certain feel for direction, overview, purpose, and ordering. They can really double down going completely in the wrong direction. So I'd rather say that it is a different intelligence and therefore it makes more sense to evaluate them by capabilities.

I think the mismatching intelligence is actually quite exciting, because the outcome may as well be that LLMs and human intelligence are complementary. That is if we don't let LLMs atrophy our skills, which is unfortunately happening too much.

Make it be able to position and route a complex pcb. Extra points if it also can design the circuit, select the components and make the footprints out of their datasheets.

A bayesian filter in a quadrillion dimension does more that one that only has one dimension, but it is only more of the same.