But people also seem confused as to what actually creates those systems, which leads to the perceptual misattribution of confusing the reflection of an object in the mirror for the object itself.
A brain isn't a brain because of it's specific signal inputs, a brain is a brain because of the selection pressures that form it.
If you want an artificial brain you could a) create a synthetic copy of a mapped biological brain (eg like the fruit fly neuron map) or b) evolve a brain using selective pressure (virtually)
We have already done a):
https://www.profolus.com/topics/scientists-copied-fruit-fly-...
Simply calling an LLM a brain, doesn't make it a brain. It's a prediction model.
One illustration of this fact is how an LLM (that counts three e's in "seventeen") can also tell you why it has trouble counting letters in a word correctly and give you the example of 'seventeen' - pointing out to you that there are actually 4 e's but that it will tell you there are three 3 e's. You can then immediately ask it again how many e's and it will still tell you 3.
An LLM doesn't reason, it doesn't understand, it doesn't communicate, it isn't self aware. It predicts the next token (astonishingly well, in most cases).
Reflections can be very convincing.