It's largely irrelevant in terms of intelligence. What you're describing is throwing out 2-D topological integrations (what we do to achieve optic flow ultra fast reaction times in motion), vicarious trial and error, and brute force imposing a machine wax fruit of motion dexterity. It's simply not analog to events the way we experience, it's been cooked up in cog-sci as imitation, but it's not even that. The more we understand the brain's architecture and process, the less relevant this gets, as it's not for legitimate long-term bio ware. There are no world models, the idea is oxymoronic as the topological bypasses this in scale invariance. It's all a dead end this binary, since eventually, analog will rule this with minimal energy and software and use an entirely different software. Think of any arriving too early industry, AI is irrelevant, the first step was reinventing software. It took the least efficient compute principle and drove it to irrelevance using machine vision as an endgame. The lack of redundancies is the tell.