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Artificial Intelligence may not be up for the Fields Medal any time soon, but it may act as an intermediary for mathematicians working on proofs. However, something is lacking for AI to get down to it. Terry Tao looks to the positives. Full lecture:

132,413 views • 1 year ago •via X (Twitter)

9 Comments

TelepathicPug's profile picture
TelepathicPug1 year ago

It's pretty cool to think that in the future humans may end up being coauthors. Basically verifying results.

Najm's profile picture
Najm1 year ago

He really is interested in AI.

p-brane's profile picture
p-brane1 year ago

that other guy is nodding so furiously why so much adulation? unbecoming, as Littlewood would say Tao is overrated, in my opinion

Garrett Arpin's profile picture
Garrett Arpin1 year ago

@jvboid I called it

Hassan Abedi 📚🌿🦉's profile picture
Hassan Abedi 📚🌿🦉1 year ago

Great that he's not an AI doomer. based. 👀

Garry W Briggs's profile picture
Garry W Briggs1 year ago

A proof only stands if a human can follow it eg some proofs may take longer than a lifespan (which some of mine may take!).

Wadï Mami وديع مامي's profile picture
Wadï Mami وديع مامي1 year ago

Here I share with you what #GenerativeAI (Gemini) think about my idea my IT model for sequencing DNA which maybe could explain how #Crispr cas9 works maybe the solution To fight cancer and all diseases please visit

ze /zē/'s profile picture
ze /zē/1 year ago

On this day I coined the term probability drive for the express purpose of referring to large language models (LLM) -unknown Long story, watch Tao, bloody brilliant.

QCX's profile picture
QCX1 year ago

Man just needs a highly concurrent multi agent framework

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