4 ms·
My takes as a neuroscientist: 1) defining intelligence is very difficult, almost impossible. Much more the artificial one 2) there are many types of human int
by tsoukase 1y ago
My takes as a neuroscientist:
1) defining intelligence is very difficult, almost impossible. Much more the artificial one
2) there are many types of human intelligence. Verbal is one of them and the closest to comparing with LLMs
3) machines (not only LLMs but all, like robots) excel where humans are bad and vice versa due to their different background, without exception. Comparing the two is totally meaningless and unfair for both. Let's have both complement the other.
4) AGI remains a valid target but we are still very far from it, like in other ones, as control the DNA and treat arbitrary genetic diseases, solve the earth resource problem and harness other planets, create a near perfect sociopolitical system with no inequality. Another Singularity is added in the list
5) I am impressed by how far a PC cluster has come up through "shuffling tokens" but on the other side I am pessimistic of how further it can reach having finate input/training data.