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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 ➡️

426,203 views • 3 years ago •via X (Twitter)

10 Comments

Foxy's profile picture
Foxy3 years ago

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

Oğuzhan Çakmak's profile picture
Oğuzhan Çakmak3 years ago

There's more than one way to skin a cat

Hisashi Takagi🌗's profile picture
Hisashi Takagi🌗3 years ago

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?

Mohan Liu's profile picture
Mohan Liu3 years ago

@memdotai mem it

Leo's profile picture
Leo3 years ago

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.

Dr. Gunjan's profile picture
Dr. Gunjan3 years ago

Hehe

Olivia P. Walker's profile picture
Olivia P. Walker3 years ago

Indeed I will read this, thanks!

Drake Facts's profile picture
Drake Facts3 years ago

I summarized this article with AI

Rieks op den Akker's profile picture
Rieks op den Akker3 years ago

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

Parthiban Shanmugam's profile picture
Parthiban Shanmugam3 years ago

@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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