To imply it could be conscious requires something else, here the comment uses the phrase magic to fill that gap - since we must agree that a CPU is not conscious on it's own (else everything our computer does would be conscious).
To imply it could be conscious requires something else, here the comment uses the phrase magic to fill that gap - since we must agree that a CPU is not conscious on it's own (else everything our computer does would be conscious).
Many things the human brain does don’t rise to the level of conscious awareness.
It remains to be seen whether a human brain can be conscious in a jar. If it can, then I’d still argue that some sub-unit of the whole brain is not conscious on its own, similarly a GPU running a GPT probably isn’t conscious, but there may be some scale of number of GPUs running software that might give rise to consciousness as an emergent ability.
GTP’s have exhibited emergent abilities as scale increased dramatically.
This isn’t a religious argument that there’s something about our brains which can’t be replicated, but simply that it’s sufficiently more complex than anything we have currently.
Humans are notorious for doing this.
This especially applies to mistakes: the junior developer who drops a database by mistake is unlikely to ever do that again, whereas the same AI companies models keep doing that to a small but non-zero number of customers because they don’t have that higher level learning process or anything like fear of consequences.
How do you measure "deeper understanding" in humans? You usually do it by asking them to show their work, show how the dots connect. Reasoning models are getting there, and when they do, I'm sure the goalposts will move yet again.
This is reinforced (pun not intended) by the continued issues with things like "should I walk or drive to the car wash"