That's the brute force approach anyway. Even if you do take an inordinate amount of data to sample from you'll likely get something that's woefully impractical to operate, even if it produces vaguely human like responses.

We do on the other hand know for a fact it's possible to run an instance of consciousness in a volume of about a liter that consumes like 20 watts (aka your average human brain), so there's something probably wrong with our general approach to the matter. GPT-3 already uses about twice as many parameters as our organic counterparts do, with much worse results. And it even doesn't have to process a ridiculously large stream of sensor data and run an entire body of muscle actuators at the same time.