You can feed an LLM of typical size (~1 TB) all the video and audio you can find, but it won't turn into a human. I suspect but can't prove that even if you wired up a bunch of other sensors, gave it a robot body, and let it "explore" the world on its own, that would still be woefully insufficient.

A gazelle just days(!) old can control its body and four legs sufficiently well to outrun a cheetah. This is a complex motor-control loop involving all of its senses. Compare that to Tesla's autopilot training system, which uses many millions of hours of training data and still struggles to move a car... slowly. The equivalent would be a training routine that can take just a handful of days of footage and produce an AI that can win a car race.

There's something magical about neural networks when scaled up to brain sizes. From what I gather, there's little else encoded in the genome except for the high-level pattern of wiring, the equivalent to the PyTorch model configuration.