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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 次观看 • 3 年前 •via X (Twitter)

10 条评论

Foxy 的头像
Foxy3 年前

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 的头像
Oğuzhan Çakmak3 年前

There's more than one way to skin a cat

Hisashi Takagi🌗 的头像
Hisashi Takagi🌗3 年前

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 的头像
Mohan Liu3 年前

@memdotai mem it

Leo 的头像
Leo3 年前

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 的头像
Dr. Gunjan3 年前

Hehe

Olivia P. Walker 的头像
Olivia P. Walker3 年前

Indeed I will read this, thanks!

Drake Facts 的头像
Drake Facts3 年前

I summarized this article with AI

Rieks op den Akker 的头像
Rieks op den Akker3 年前

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

Parthiban Shanmugam 的头像
Parthiban Shanmugam3 年前

@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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