
Apprendre !: Les talents du cerveau, le défi des machines (OJ.SCIENCES)

Comment peut-on scientifiquement décrire toutes ces facultés mystérieuses qui sont la quintessence de l’homme – l’art, le langage, la métaphore, la créativité, la connaissance de soi et même la sensibilité religieuse ? En tant que scientifique, une insatiable curiosité me pousse à chercher comment le cerveau d’un grand singe – un singe ! – a réussi
... See moreVilayanur Ramachandran • Le cerveau fait de l'esprit : Enquête sur les neurones miroirs (Quai des Sciences) (French Edition)
brain organization provides us with both a powerful start-up kit and an equally powerful learning machine.
Stanislas Dehaene • How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
How We Learn: Why Brains Learn Better Than Any Machine …
Stanislas Dehaene • 8 highlights
goodreads.com
- What a modern LLM does during training is, essentially, very very quickly skim the textbook, the words just flying by , not spending much brain power on it.
- Rather, when you or I read that math textbook, we read a couple pages slowly; then have an internal monologue about the material in our heads and talk about it with a few study-buddies; read an
SITUATIONAL AWARENESS - The Decade Ahead • I. From GPT-4 to AGI: Counting the OOMs
But what machines cannot yet do well, and that the human brain succeeds in doing wonderfully, is integrate new information within an existing network of knowledge.