>The first problem can be reduced to a machine learning classifier. The second is an unsolved scientific problem.
I can't believe people are still using this as a generic anti-AI argument even though a decade ago people were insisting that there's no way AI can have the capabilities that frontier LLMs have today. Moreover it's unclear whether the gap even exists. Even if we take the claim that the grid pattern is some sort of fundamental constraint that AI models can't surpass, it doesn't seem too hard to work around by infilling the grids pattern and presenting the 9 images to LLMs as one image.
> “…reverse-engineering the computational dynamics of a biological brain and reproducing them in real time…”
Is not an anti-AI argument, it’s an open and unsolved question. Your optimism is appreciated, but the dismissal and assumption this is already solved is foolish and naive.