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Terence Tao summarized how AI is massively accelerating math career and math research. "In math, you previously had to basically go through years and years of education to be a math PhD before you could contribute to the frontier of math research. But now it's quite possible at the... show more

Rohan Paul

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61,874 Aufrufe • vor 4 Monaten •via X (Twitter)

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15 Kommentare

Profilbild von 51-50_X

51-50_Xvor 4 Monaten

What didn’t make the hype cut: access is not certification. AI can help more people reach the frontier.. but who verifies the proof, owns the error, and can still say no before a candidate answer becomes accepted truth? 🛠️

Profilbild von Youssef El Manssouri

Youssef El Manssourivor 4 Monaten

Math is one of the first fields where this happens because you can actually verify whether the work is correct. No gatekeeping required

Profilbild von Philipp Humm | Beyond The Human

Philipp Humm | Beyond The Humanvor 4 Monaten

AI is collapsing old barriers to entry in fields like mathematics. What it does not remove is the need for human judgment forged through lived struggle with complexity. A key differentiator remains the ability to ask the right questions.

Profilbild von Vanar

Vanarvor 4 Monaten

AI is lowering the barrier to participation, but depth of understanding will still matter for meaningful contributions.

Profilbild von AI Crave

AI Cravevor 4 Monaten

Math gets accessible.

Profilbild von Victor

Victorvor 4 Monaten

terence tao casually describing the biggest shift in how humans do hard thinking since calculus was invented

Profilbild von Aaron Powell, M.Eng.🇨🇦

Aaron Powell, M.Eng.🇨🇦vor 4 Monaten

Discovery = crazy ideas + rigorous logical proofs.

Profilbild von Name

Namevor 4 Monaten

Meanwhile, everyone making a contribution via AI has a math PhD.

Profilbild von Dragongirls22

Dragongirls22vor 4 Monaten

Proof is in the pudding. I love pudding.

Profilbild von Universe11Arc22

Universe11Arc22vor 4 Monaten

Naw....

Profilbild von gruner

grunervor 4 Monaten

vague take

Profilbild von Vinay Awasthi

Vinay Awasthivor 4 Monaten

I will equate this to advocating pushing buttons at a nuclear reactor! Math will come out, no one will know whether it is right or wrong... Checking AI's work is 5x work!

Profilbild von Sups07

Sups07vor 4 Monaten

Meet Lumi - Stuck on a concept? Lumi lights the way. Get instant, personalized explanations, step-by-step guidance, and a tutor that's available 24/7, so learning never has to stop when the classroom does.

Profilbild von AIKeaton UK

AIKeaton UKvor 4 Monaten

Exactly. For me the big shift is the setup cost. If AI makes weird ideas cheap to test, more people get a real shot at the frontier earlier.

Profilbild von Snake Cell

Snake Cellvor 4 Monaten

AI is just autocomplete tribes in shambles.

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Terence Tao: "Previously, you needed a PhD to contribute to math research. Now a high school student can." Dwarkesh asks the world's most famous mathematician: what's your advice for someone considering a career in math, especially in light of AI progress? Tao is honest about uncertainty: "We live in a time of change. A particularly unpredictable era. Things that we've taken for granted for centuries may not hold anymore. The way we do everything... not just mathematics... will change." He admits his preference: "In many ways, I would prefer a much more boring, quiet era where things are much the same as they were 10 or 20 years ago. But one just has to embrace this. There's going to be a lot of change. The things you study... some of them may become obsolete or revolutionized. But some things will be retained." On new opportunities: "Previously, you had to go through years and years of education and get a math PhD before you could contribute to the frontier of math research. But now it's quite possible at the high school level that you could get involved in a math project and actually make a real contribution... because of all these AI tools and Lean and everything else." His advice: "There will be a lot of non-traditional opportunities to learn. You need a very adaptable mindset. There'll be worth pursuing things just for curiosity and for playing around. Still go through traditional education and learn math and science the old-fashioned way for a while... credentials will still be important. But you should also be open to very, very different ways of doing science. Some of which don't exist yet." He concludes: "It's a scary time. But also very exciting."

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Terence Tao says AI could help rework mathematics from the ground up, doing math problems at a scale never done before and leading to a new age of discovery

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American mother says her daughter is 1 of only 4 children in her entire math class that speaks English “She doesn't get to learn math because there's 20 plus other kids who don't know English and the teacher has to accommodate them” “Why am I paying property taxes? Why am I paying income tax? Why am I paying taxes for anything for my children to have a the right to a free and public education? — This this is what they get. You don't get to learn math because you know English, so you just don't get to learn math.”

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This is a day in the life of a Flat Earther You tell us your math We show you real life examples of how your math doesn’t fit reality You throw in some excuses that don’t explain anything while simultaneously refusing to actually look at the evidence Because science dudes! 😎

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Ted Logan

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Jordi: It seems pretty obvious that the models just getting smarter is not by default going to make adoption accelerate massively again. If you're a business that's not doing code-gen, not generating a bunch of assets, etc. - and somebody says, "For $20 a month, you get someone that's PhD level in math, but extremely low agency." A laundromat would be like, "Actually, I don't need somebody who's PhD level at math. Sir this is a laundromat."

Jordi: It seems pretty obvious that the models just getting smarter is not by default going to make adoption accelerate massively again. If you're a business that's not doing code-gen, not generating a bunch of assets, etc. - and somebody says, "For $20 a month, you get someone that's PhD level in math, but extremely low agency." A laundromat would be like, "Actually, I don't need somebody who's PhD level at math. Sir this is a laundromat."

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