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Meta AI researchers show how current language models differ from the human brain & highlight the role of long-range & hierarchical predictions. Read the open accessed article in Nature ➡️

426,254 Aufrufe • vor 3 Jahren •via X (Twitter)

10 Kommentare

Profilbild von Foxy
Foxyvor 3 Jahren

Fascinating research shedding light on the distinctions between language models and the human brain. Your emphasis on long-range and hierarchical predictions is crucial for advancing the field of AI. Looking forward to seeing more breakthroughs in this area!" #AI #Research

Profilbild von Oğuzhan Çakmak
Oğuzhan Çakmakvor 3 Jahren

There's more than one way to skin a cat

Profilbild von Hisashi Takagi🌗
Hisashi Takagi🌗vor 3 Jahren

ヒトの脳の階層と文章理解の構造(構文~意味論)の対応が可視化できる時代が来たよ~AGIに必要な条件でもあるわけで、これが実装されるのは時間の問題?

Profilbild von Mohan Liu
Mohan Liuvor 3 Jahren

@memdotai mem it

Profilbild von Leo
Leovor 3 Jahren

How do you know how much prediction distance the human brain does? My Neurology textbooks claim that language hasn't been deciphered to that degree yet.

Profilbild von Dr. Gunjan
Dr. Gunjanvor 3 Jahren

Hehe

Profilbild von Olivia P. Walker
Olivia P. Walkervor 3 Jahren

Indeed I will read this, thanks!

Profilbild von Drake Facts
Drake Factsvor 3 Jahren

I summarized this article with AI

Profilbild von Rieks op den Akker
Rieks op den Akkervor 3 Jahren

@ylecun To “unravel the computational bases of human cognition”. This comes in place of a Chomskian build in grammar?

Profilbild von Parthiban Shanmugam
Parthiban Shanmugamvor 3 Jahren

@om That’s the reason your .@facebook #AI constantly falsely restricting or deleting the accounts in the bane of so-called community standard violations 🤢

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