An interesting analysis for a correspondent for Wired Magazine, who cover the modern world and all its consequences. This story is about the way that AI — Artificial Intelligence — is NOT like the human brain and what this might mean for the way our language will lose its richness and complexity value because we humans now share language with machines!.
He concludes: > Machine learning, like the meganet more generally, manifests a ubiquitous bias for the simple and the explicit against the complex and the ambiguous. Ultimately, physicist Juan G. Roederer’s judgment of 2005 still holds true: “To imply, as it is frequently done, including by myself, that the brain works like a computer is really an insult to both.”
But the whole article is worth reading, imho (in my humble opinion)!