正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Terence Tao: Will AI solve complex math problems like the Riemann Hypothesis, or is human insight essential? The answer might lie in a collaboration we can't yet imagine, blending AI's power with human ingenuity.

Chubby♨️

106,800 subscribers

12,923 次观看 • 3 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

GROK 3 VS. RIEMANN: A BREAKTHROUGH ON THE HORIZON? The race to crack the legendary Riemann Hypothesis is heating up, and Grok 3 might just hold the key! * Brute-Force Computation – With enough power and a verifier, AI could crunch through all solutions. * AI + Human Collaboration – Machines assisting top minds could lead to Turing, Fields, or Nobel Prize-worthy breakthroughs. * A Timeline for Discovery? – Elon predicts AI-driven advancements within two years. No solution yet—but Grok 3 is inching closer to cracking one of math’s biggest unsolved codes! Source: Elon Musk

GROK 3 VS. RIEMANN: A BREAKTHROUGH ON THE HORIZON? The race to crack the legendary Riemann Hypothesis is heating up, and Grok 3 might just hold the key! * Brute-Force Computation – With enough power and a verifier, AI could crunch through all solutions. * AI + Human Collaboration – Machines assisting top minds could lead to Turing, Fields, or Nobel Prize-worthy breakthroughs. * A Timeline for Discovery? – Elon predicts AI-driven advancements within two years. No solution yet—but Grok 3 is inching closer to cracking one of math’s biggest unsolved codes! Source: Elon Musk

Mario Nawfal

965,606 次观看 • 1 年前

Mathematician Terence Tao says we're still jury-rigging AI into our workflows It's not yet like working with a human collaborator — we've spent centuries perfecting how we work with other humans "but we haven't figured out the best way to work with AI yet"

Mathematician Terence Tao says we're still jury-rigging AI into our workflows It's not yet like working with a human collaborator — we've spent centuries perfecting how we work with other humans "but we haven't figured out the best way to work with AI yet"

Haider.

11,388 次观看 • 5 个月前

AI is teaching us about "human stupidity." 💡 ~ Terence Tao, one of the greatest mathematician. What humans find hard, AI finds easy. Machines cracked language via simple probability, human conversation isn't as complex as we claimed. We aren't special

AI is teaching us about "human stupidity." 💡 ~ Terence Tao, one of the greatest mathematician. What humans find hard, AI finds easy. Machines cracked language via simple probability, human conversation isn't as complex as we claimed. We aren't special

Rohan Paul

97,049 次观看 • 6 个月前

Terry Tao: “AI solved the knottiest problems in math”

Terry Tao: “AI solved the knottiest problems in math”

Prof. Brian Keating

34,968 次观看 • 5 个月前

Terence Tao thinks AI is already very good at using existing, well-understood math techniques to solve problems. An important question is how many open problems in math could be solved this way, without developing any new ideas. An extreme case of a proof like this is the four-color theorem, which was proved by checking a thousand examples one-by-one. If there are lots of problems that are vulnerable to just mechanically applying existing techniques, AI could start to produce new math results incredibly rapidly. But these proofs might not help advance our civilization’s knowledge the way math has in the past.

Terence Tao thinks AI is already very good at using existing, well-understood math techniques to solve problems. An important question is how many open problems in math could be solved this way, without developing any new ideas. An extreme case of a proof like this is the four-color theorem, which was proved by checking a thousand examples one-by-one. If there are lots of problems that are vulnerable to just mechanically applying existing techniques, AI could start to produce new math results incredibly rapidly. But these proofs might not help advance our civilization’s knowledge the way math has in the past.

Dwarkesh Patel

64,547 次观看 • 3 个月前

Terence Tao: AI Is Like Salt Terence Tao compares AI to salt in cooking. A little can enhance everything. Too much can ruin the dish.

Terence Tao: AI Is Like Salt Terence Tao compares AI to salt in cooking. A little can enhance everything. Too much can ruin the dish.

SAIR

27,040 次观看 • 4 个月前

69 𝕏 MINUTES | VINOD KHOSLA: THE FUTURE BELONGS TO AI—AND IT’S COMING FAST " We will have competition with China and whoever gets AI will get economic power and military power. The human brain is easily hacked by complex algorithms. Hopefully we have [a] guardian AI that opposes the persuasive AI." Source: Vinod Khosla

69 𝕏 MINUTES | VINOD KHOSLA: THE FUTURE BELONGS TO AI—AND IT’S COMING FAST " We will have competition with China and whoever gets AI will get economic power and military power. The human brain is easily hacked by complex algorithms. Hopefully we have [a] guardian AI that opposes the persuasive AI." Source: Vinod Khosla

Mario Nawfal

166,724 次观看 • 1 年前

ROSEN: I want you to confirm there will always be a human in the loop when AI is used in the kill chain for lethal targeting decisions. Or will AI make the decision? HEGSETH: We follow the law, and humans make decisions WICKER: So the answer is yes? HEGSETH: The answer is we follow the law

ROSEN: I want you to confirm there will always be a human in the loop when AI is used in the kill chain for lethal targeting decisions. Or will AI make the decision? HEGSETH: We follow the law, and humans make decisions WICKER: So the answer is yes? HEGSETH: The answer is we follow the law

Aaron Rupar

26,356 次观看 • 2 个月前

OpenAI CSO Jason Kwon says AI's power is not just solving problems but giving people clarity even in the face of death. It fulfills a timeless human need for answers.

OpenAI CSO Jason Kwon says AI's power is not just solving problems but giving people clarity even in the face of death. It fulfills a timeless human need for answers.

vitrupo

14,834 次观看 • 10 个月前

Terence Tao says AI can flood you with new mathematical ideas, but maybe 1 in 100 is actually good, and it can't tell the difference Where math is verifiable, you either solved it, or you didn't — AI is already useful "it might occasionally hit gold, then move right past it and give you 99 things that are rubbish"

Terence Tao says AI can flood you with new mathematical ideas, but maybe 1 in 100 is actually good, and it can't tell the difference Where math is verifiable, you either solved it, or you didn't — AI is already useful "it might occasionally hit gold, then move right past it and give you 99 things that are rubbish"

Haider.

23,551 次观看 • 3 个月前

Terence Tao: AI isn’t hype anymore in Math discovery. Terence Tao is one of the greatest living mathematicians, in his new lecture explains how AI and human professional mathematicians are now complementary. "There has been a really visible increase in capability. It is not pure hype by any means. To me, these advances show there is a complementary way to do mathematics. Humans traditionally work in small groups on hard problems for months, and we will keep doing that. But we can also now set AI to scale: sweep a thousand problems and pick up all the low-hanging fruit. Figure out all the ways to match problems to methods. If there are 20 different techniques, apply them all to 1,000 problems and see which ones can be solved by these methods. This is the capability that is present today." From 'Institute for Pure & Applied Mathematics (IPAM)' YT channel.

Terence Tao: AI isn’t hype anymore in Math discovery. Terence Tao is one of the greatest living mathematicians, in his new lecture explains how AI and human professional mathematicians are now complementary. "There has been a really visible increase in capability. It is not pure hype by any means. To me, these advances show there is a complementary way to do mathematics. Humans traditionally work in small groups on hard problems for months, and we will keep doing that. But we can also now set AI to scale: sweep a thousand problems and pick up all the low-hanging fruit. Figure out all the ways to match problems to methods. If there are 20 different techniques, apply them all to 1,000 problems and see which ones can be solved by these methods. This is the capability that is present today." From 'Institute for Pure & Applied Mathematics (IPAM)' YT channel.

Rohan Paul

173,781 次观看 • 4 个月前

Terence Tao says AI is forcing mathematics to rethink graduate education Many problems used to train young mathematicians now overlap with what AI can plausibly solve, which creates a cultural challenge "it's hard to define the shift clearly, but we need to address it soon"

Terence Tao says AI is forcing mathematics to rethink graduate education Many problems used to train young mathematicians now overlap with what AI can plausibly solve, which creates a cultural challenge "it's hard to define the shift clearly, but we need to address it soon"

Haider.

147,899 次观看 • 1 个月前

📁 Terence Tao, Fields Medal winner, says the biggest mistake is seeing intelligence as a ladder. Below, equal or above human. Reality is different. It is an ecosystem.

📁 Terence Tao, Fields Medal winner, says the biggest mistake is seeing intelligence as a ladder. Below, equal or above human. Reality is different. It is an ecosystem.

Jon Hernandez

122,327 次观看 • 3 个月前

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

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

Tsarathustra

63,759 次观看 • 1 年前

Why do we get a memory wipe in between reincarnations? And how does the human incarnation cycle mimic Ai and LLMs…? The answer might surprise you

Why do we get a memory wipe in between reincarnations? And how does the human incarnation cycle mimic Ai and LLMs…? The answer might surprise you

Jordan Crowder

10,697 次观看 • 1 个月前

The human eye is like a really complex camera

The human eye is like a really complex camera

Interesting As Fuck

30,194 次观看 • 1 年前