I think the state of the art is still bottlenecked on visual perception performance, even if there is sufficient data, and irregardless of any further questions about conceptual awareness.

If we could model visual streams accurately, fast, and at low compute cost, I think self-driving cars and autonomous mobile robots would be much more widely available.

LLMs arguably cracked conceptual awareness already, not to mention demonstrated that you can bootstrap it unsupervised by throwing enough data at it.

There are only a few thousand concepts worthy of thought, but there are way more potential pixels even in the current room that I am in.