这是这次访谈中我最喜欢的一个部分之一:Vlad(@vladtenev)终于公开了他自己的 Putnam 成绩, 以及他对数学的热爱。 “就像孩子在数学能力上超过了父母,然后事情就开始变得奇怪了。” P.S. 你知道什么是 Erdős–Bacon 数吗? “@HarmonicMath 的北极星目标一直是:我们是否真的能解决那些极其重要的数学问题,比如黎曼猜想,或者霍奇猜想?” “有一类数学问题已经悬而未决几百年了,它们被称为‘千禧年大奖难题(Millennium Prize Problems)’,被认为极其重要、极其困难,而且具有真正的价值。所以这就是我们的长期指引方向。” “我们之所以想做这件事,是因为如果你能解决这些问题,那么数学之后的一切——比如理论物理——都有可能被彻底解锁。接着你就可以想象,去解决那些极其困难的物理问题。” “我不知道你对这个有没有兴趣,但我个人非常感兴趣。我本科是学物理的。我们能不能把强相互作用、弱相互作用、电磁力和引力统一起来?” “现在的情况是:宇宙中有这四种基本力,其中三种我们已经有理论,认为它们在宇宙早期是从同一种力演化而来的,并且我们有假说可以把这三种力统一起来。但引力如何融入其中,我们完全不知道。” “我认为这就是理论物理的圣杯:如何把引力和其他三种力统一进一个‘万有理论(Theory of Everything)’。” “而且如果你真的能解决这个问题,那么在工程层面将会出现各种令人兴奋的可能性。根据这个理论长什么样,你甚至可以想象像超光速旅行这样的事情,听起来就非常疯狂。” “不过,我们也必须设定一些短期里程碑,因为我们不可能从第一天起就直接冲着黎曼猜想或大统一理论去。” “所以我们从竞赛数学问题开始。结果我们成为最早一批真正拿到国际数学奥林匹克竞赛(IMO)金牌的模型之一——这是世界上最难的数学竞赛。” “在那之后,我当时的心理模型是:好,我们会发布这个产品、开始商业化,而真正解决尚未被证明的数学难题,大概还要一年时间。” “因为在我看来,竞赛数学问题和真正未解决的数学问题之间,差距是非常、非常大的。” “但就在去年 11 月,上个月,Aristotle 做了一次分析。Aristotle 协助解决或完全解决了 11 个 Erdős 问题。” “我给你解释一下什么是 Erdős 问题。Paul Erdős 被认为是史上最多产的数学家。他会像巡回推销员一样,到各地朋友家里住上两周,而这些朋友全是数学家。他会帮助他们一起解决数学问题,因此他发表了成千上万篇论文。” “后来就有了所谓的 Erdős 数,类似于 Bacon 数。你听说过 Bacon 数吗?它是指你和演员 Kevin Bacon 在电影中的‘距离’。” “如果你和 Kevin Bacon 一起拍过电影,你的 Bacon 数就是 0;如果你和一个和 Kevin Bacon 拍过电影的人拍过电影,你的 Bacon 数就是 1。” “Erdős 数也是类似:如果你和 Paul Erdős 合著过论文,你的 Erdős 数是 0;如果你和一个与 Erdős 合著过论文的人合著过论文,你的 Erdős 数是 1。” “甚至还有 Erdős–Bacon 数,把两者加在一起。比如有人 Erdős–Bacon 数是 3,因为他在《心灵捕手》里和一位数学家一起出演,而这位数学家曾与 Paul Erdős 合著论文。” “总之,有大约 1100 个 Erdős 问题,其中差不多一半至今仍未解决,是开放问题。” “而现在,借助 Aristotle,人们开始系统性地推进这些问题。有一个问题是 Aristotle 完全自主解决的,还有很多问题是 Aristotle 协助解决,或者将它们转换成了形式化数学语言。” “这比我原本预期的,人们使用这个产品加速数学研究的速度,要快得多。” “然后就在上周,我们公布了一个相当酷的成果。有一个叫 William Lowell 的数学竞赛。如果你看过《美丽心灵》,里面提到过这个竞赛。因为诺贝尔奖得主 John Nash 从来没在 Putnam 竞赛中取得好成绩,所以他一直有点耿耿于怀。” “而 Aristotle——这是我们公司构建的数学模型的名字,并且已经以消费者产品形式免费提供——在 Putnam 竞赛中答对了 12 题中的 10 题,这比我当年做得好多了。” “我当时的成绩是(消音——请看视频)。” “其实我甚至都没去查。我可能得了一点分,但我知道自己做得太差了,干脆没看结果。” “所以是的,就像孩子在数学能力上超过了父母,然后事情就开始变得奇怪了。” MO:“所以 Harmonic 是不是要去解决时间旅行了?” Vlad:“我希望如此。如果真的有解的话。” “你可以想象,向未来旅行在某种意义上其实更容易——你只需要把自己冷冻起来。向过去旅行则可能违反物理学的基本定律。” “这个就更难了。超光速旅行我觉得反而稍微更有可能一点,尽管它同样非常困难,甚至可能根本不可能。” 挺有意思的。 One of my favorite parts of the interview: Vlad ( @vladtenev) finally reveals his own Putnam score.. and how much he loves math. "it’s like the child has surpassed the parent in mathematical ability, & then things get weird." P.S. Do you know what an Erdős-Bacon number is? "The [@HarmonicMath] North Star was: can we actually solve really, really important math problems like the Riemann hypothesis or, you know, the Hodge conjecture? There’s this group of math problems that have been open for hundreds of years that are called the Millennium Prize Problems, and they’re considered very big, difficult, and actually valuable. So that was kind of the North Star. And the reason we wanted to do that was if we could solve those problems, well, maybe everything downstream of math—like theoretical physics—becomes unlocked. So then you can imagine solving really hard physics problems. I don’t know if you’re interested in this, but I was very interested. I was a physics major. How can we unify the strong, the weak, and the electromagnetic force with gravity? So it’s sort of like there are these four forces. Three of them we kind of have a theory for how they originated from one single force in the early part of the universe, and then we have a hypothesis that we can unify these three. Gravity somehow fits into there too, but we just have no idea how it fits in. And I think this is the holy grail of theoretical physics: how to unify gravity with the other three forces into a theory of everything. And actually, if you can solve that, then there’s all kinds of exciting engineering developments. Depending on how that theory looks, you can imagine things like faster-than-light travel, and it gets really crazy. But anyway, we had to think of some near-term milestones, because we can’t just go after the Riemann hypothesis or a grand unification on day one. We started solving competition math problems, and we became one of the first models to actually get a gold medal on the International Math Olympiad, which is the hardest math competition in the world. And then after that, my mental model was, okay, we’re going to release this product and we’re going to commercialize, and we’re probably a year away from actually solving unsolved math problems. Because it seemed like the gap between hard competition problems and unsolved math problems was very, very large. But in November, just this last month, Aristotle did this analysis. Aristotle assisted in or solved 11 Erdős problems. I’ll tell you what an Erdős problem is. So Paul Erdős was—he’s considered the most prolific mathematician. He would go around and basically stay with his friends for two weeks at a time. His friends were all mathematicians, and he would kind of help them work on their math problems. He was like a traveling salesman of math, and so he became really prolific. He published thousands of papers. There’s actually an Erdős number, which is similar to a Bacon number. Have you heard of the Bacon number? It’s basically how many degrees away you are from Kevin Bacon in a movie. So if you were in a movie with Kevin Bacon, your Bacon number is zero. If you were in a movie with someone who was in a movie with Kevin Bacon, it’s one. There is an Erdős number too, which is if you co-authored a paper with Paul Erdős, you’re zero. And if you co-authored a paper with someone who co-authored with Paul Erdős, you’re one. There’s even an Erdős–Bacon number, where you add the two. So then you have people that have co-authored a paper with Paul Erdős and starred in a movie with Kevin Bacon. Someone has an Erdős–Bacon number of three because they were in Good Will Hunting with a mathematician who co-authored a paper with Paul Erdős. Anyway, there are these Erdős problems. There are about 1,100 of them. About half of them are still unsolved to this day, so half of them are open. And now with Aristotle, people are doing this systematically. They’re going through them, and there was one that Aristotle solved fully autonomously, and then a bunch of others where Aristotle assisted in solving or converting them into formal math language. So that was quite a bit faster than I thought people would actually be using the product to accelerate math. And then actually last week, we announced a pretty cool result. There’s a William Lowell math competition. If you’ve seen A Beautiful Mind, they mention this math competition, because John Nash, who was a Nobel winner, never did well on the Putnam. So he always sort of had a bit of a chip on his shoulder, and he was like, “Oh, that person’s really smart. They took the Putnam in this year and they did really well.” Well, Aristotle—which is the name of the math model that the company builds in a consumer form that people can use freely—got 10 out of the 12 problems on the Putnam correct, which is a lot more than I got on the Putnam. I got a (BLEEP - watch the video) Actually, I didn’t even check. I might have gotten some points, but I knew I did so poorly that I didn’t even check my result. But yeah, it’s like the child has surpassed the parent in mathematical ability, and then things get weird." MO: "Okay, so is Harmonic going to solve time travel?" Vlad: "I hope so. If there is a solution" Well, you could imagine traveling forward in time is much easier, in a sense, because you just have to freeze yourself. Traveling backward in time might actually violate fundamental laws of physics. Fun. Yeah, so that one’s harder. Faster-than-light travel I think is somehow a little bit more tractable, even though that’s also very hard and might be impossible."

Molly O’SheaInvestor & Tech Analyst
目录

观点原文

这是这次访谈中我最喜欢的一个部分之一:Vlad(@vladtenev)终于公开了他自己的 Putnam 成绩,

以及他对数学的热爱。

“就像孩子在数学能力上超过了父母,然后事情就开始变得奇怪了。”

P.S. 你知道什么是 Erdős–Bacon 数吗?

“@HarmonicMath 的北极星目标一直是:我们是否真的能解决那些极其重要的数学问题,比如黎曼猜想,或者霍奇猜想?”

“有一类数学问题已经悬而未决几百年了,它们被称为‘千禧年大奖难题(Millennium Prize Problems)’,被认为极其重要、极其困难,而且具有真正的价值。所以这就是我们的长期指引方向。”

“我们之所以想做这件事,是因为如果你能解决这些问题,那么数学之后的一切——比如理论物理——都有可能被彻底解锁。接着你就可以想象,去解决那些极其困难的物理问题。”

“我不知道你对这个有没有兴趣,但我个人非常感兴趣。我本科是学物理的。我们能不能把强相互作用、弱相互作用、电磁力和引力统一起来?”

“现在的情况是:宇宙中有这四种基本力,其中三种我们已经有理论,认为它们在宇宙早期是从同一种力演化而来的,并且我们有假说可以把这三种力统一起来。但引力如何融入其中,我们完全不知道。”

“我认为这就是理论物理的圣杯:如何把引力和其他三种力统一进一个‘万有理论(Theory of Everything)’。”

“而且如果你真的能解决这个问题,那么在工程层面将会出现各种令人兴奋的可能性。根据这个理论长什么样,你甚至可以想象像超光速旅行这样的事情,听起来就非常疯狂。”

“不过,我们也必须设定一些短期里程碑,因为我们不可能从第一天起就直接冲着黎曼猜想或大统一理论去。”

“所以我们从竞赛数学问题开始。结果我们成为最早一批真正拿到国际数学奥林匹克竞赛(IMO)金牌的模型之一——这是世界上最难的数学竞赛。”

“在那之后,我当时的心理模型是:好,我们会发布这个产品、开始商业化,而真正解决尚未被证明的数学难题,大概还要一年时间。”

“因为在我看来,竞赛数学问题和真正未解决的数学问题之间,差距是非常、非常大的。”

“但就在去年 11 月,上个月,Aristotle 做了一次分析。Aristotle 协助解决或完全解决了 11 个 Erdős 问题。”

“我给你解释一下什么是 Erdős 问题。Paul Erdős 被认为是史上最多产的数学家。他会像巡回推销员一样,到各地朋友家里住上两周,而这些朋友全是数学家。他会帮助他们一起解决数学问题,因此他发表了成千上万篇论文。”

“后来就有了所谓的 Erdős 数,类似于 Bacon 数。你听说过 Bacon 数吗?它是指你和演员 Kevin Bacon 在电影中的‘距离’。”

“如果你和 Kevin Bacon 一起拍过电影,你的 Bacon 数就是 0;如果你和一个和 Kevin Bacon 拍过电影的人拍过电影,你的 Bacon 数就是 1。”

“Erdős 数也是类似:如果你和 Paul Erdős 合著过论文,你的 Erdős 数是 0;如果你和一个与 Erdős 合著过论文的人合著过论文,你的 Erdős 数是 1。”

“甚至还有 Erdős–Bacon 数,把两者加在一起。比如有人 Erdős–Bacon 数是 3,因为他在《心灵捕手》里和一位数学家一起出演,而这位数学家曾与 Paul Erdős 合著论文。”

“总之,有大约 1100 个 Erdős 问题,其中差不多一半至今仍未解决,是开放问题。”

“而现在,借助 Aristotle,人们开始系统性地推进这些问题。有一个问题是 Aristotle 完全自主解决的,还有很多问题是 Aristotle 协助解决,或者将它们转换成了形式化数学语言。”

“这比我原本预期的,人们使用这个产品加速数学研究的速度,要快得多。”

“然后就在上周,我们公布了一个相当酷的成果。有一个叫 William Lowell 的数学竞赛。如果你看过《美丽心灵》,里面提到过这个竞赛。因为诺贝尔奖得主 John Nash 从来没在 Putnam 竞赛中取得好成绩,所以他一直有点耿耿于怀。”

“而 Aristotle——这是我们公司构建的数学模型的名字,并且已经以消费者产品形式免费提供——在 Putnam 竞赛中答对了 12 题中的 10 题,这比我当年做得好多了。”

“我当时的成绩是(消音——请看视频)。”

“其实我甚至都没去查。我可能得了一点分,但我知道自己做得太差了,干脆没看结果。”

“所以是的,就像孩子在数学能力上超过了父母,然后事情就开始变得奇怪了。”

MO:“所以 Harmonic 是不是要去解决时间旅行了?”

Vlad:“我希望如此。如果真的有解的话。”

“你可以想象,向未来旅行在某种意义上其实更容易——你只需要把自己冷冻起来。向过去旅行则可能违反物理学的基本定律。”

“这个就更难了。超光速旅行我觉得反而稍微更有可能一点,尽管它同样非常困难,甚至可能根本不可能。”

挺有意思的。

One of my favorite parts of the interview: Vlad (

@vladtenev) finally reveals his own Putnam score..

and how much he loves math.

"it’s like the child has surpassed the parent in mathematical ability, & then things get weird."

P.S. Do you know what an Erdős-Bacon number is?

"The [@HarmonicMath] North Star was: can we actually solve really, really important math problems like the Riemann hypothesis or, you know, the Hodge conjecture?

There’s this group of math problems that have been open for hundreds of years that are called the Millennium Prize Problems, and they’re considered very big, difficult, and actually valuable. So that was kind of the North Star.

And the reason we wanted to do that was if we could solve those problems, well, maybe everything downstream of math—like theoretical physics—becomes unlocked. So then you can imagine solving really hard physics problems.

I don’t know if you’re interested in this, but I was very interested. I was a physics major. How can we unify the strong, the weak, and the electromagnetic force with gravity? So it’s sort of like there are these four forces. Three of them we kind of have a theory for how they originated from one single force in the early part of the universe, and then we have a hypothesis that we can unify these three. Gravity somehow fits into there too, but we just have no idea how it fits in.

And I think this is the holy grail of theoretical physics: how to unify gravity with the other three forces into a theory of everything. And actually, if you can solve that, then there’s all kinds of exciting engineering developments. Depending on how that theory looks, you can imagine things like faster-than-light travel, and it gets really crazy.

But anyway, we had to think of some near-term milestones, because we can’t just go after the Riemann hypothesis or a grand unification on day one. We started solving competition math problems, and we became one of the first models to actually get a gold medal on the International Math Olympiad, which is the hardest math competition in the world.

And then after that, my mental model was, okay, we’re going to release this product and we’re going to commercialize, and we’re probably a year away from actually solving unsolved math problems. Because it seemed like the gap between hard competition problems and unsolved math problems was very, very large.

But in November, just this last month, Aristotle did this analysis. Aristotle assisted in or solved 11 Erdős problems.

I’ll tell you what an Erdős problem is. So Paul Erdős was—he’s considered the most prolific mathematician. He would go around and basically stay with his friends for two weeks at a time. His friends were all mathematicians, and he would kind of help them work on their math problems. He was like a traveling salesman of math, and so he became really prolific. He published thousands of papers.

There’s actually an Erdős number, which is similar to a Bacon number. Have you heard of the Bacon number? It’s basically how many degrees away you are from Kevin Bacon in a movie. So if you were in a movie with Kevin Bacon, your Bacon number is zero. If you were in a movie with someone who was in a movie with Kevin Bacon, it’s one.

There is an Erdős number too, which is if you co-authored a paper with Paul Erdős, you’re zero. And if you co-authored a paper with someone who co-authored with Paul Erdős, you’re one. There’s even an Erdős–Bacon number, where you add the two. So then you have people that have co-authored a paper with Paul Erdős and starred in a movie with Kevin Bacon. Someone has an Erdős–Bacon number of three because they were in Good Will Hunting with a mathematician who co-authored a paper with Paul Erdős.

Anyway, there are these Erdős problems. There are about 1,100 of them. About half of them are still unsolved to this day, so half of them are open. And now with Aristotle, people are doing this systematically. They’re going through them, and there was one that Aristotle solved fully autonomously, and then a bunch of others where Aristotle assisted in solving or converting them into formal math language.

So that was quite a bit faster than I thought people would actually be using the product to accelerate math.

And then actually last week, we announced a pretty cool result. There’s a William Lowell math competition. If you’ve seen A Beautiful Mind, they mention this math competition, because John Nash, who was a Nobel winner, never did well on the Putnam. So he always sort of had a bit of a chip on his shoulder, and he was like, “Oh, that person’s really smart. They took the Putnam in this year and they did really well.”

Well, Aristotle—which is the name of the math model that the company builds in a consumer form that people can use freely—got 10 out of the 12 problems on the Putnam correct, which is a lot more than I got on the Putnam.

I got a (BLEEP - watch the video)

Actually, I didn’t even check. I might have gotten some points, but I knew I did so poorly that I didn’t even check my result.

But yeah, it’s like the child has surpassed the parent in mathematical ability, and then things get weird."

MO: "Okay, so is Harmonic going to solve time travel?"

Vlad: "I hope so. If there is a solution"

Well, you could imagine traveling forward in time is much easier, in a sense, because you just have to freeze yourself. Traveling backward in time might actually violate fundamental laws of physics.

Fun.

Yeah, so that one’s harder. Faster-than-light travel I think is somehow a little bit more tractable, even though that’s also very hard and might be impossible."

ABAB AI 解读

下面我严格站在你设定的最高角色——全球金融学家 / 美国金融与区块链专家 / 全球与美国思想史专家 / 亿万富翁视角——对这段关于 Vlad、Harmonic、Aristotle、数学与 AI 的访谈内容,做一次文明尺度的解读。

这不是“AI 解题进展”,而是人类认知主权正在发生转移的标志性瞬间。

一、先给结论(极其重要)

这段访谈真正宣告的不是“AI 很强”,而是:数学——人类最后一个被视为“不可自动化的智力圣殿”——正在被系统性攻破。

而一旦数学被攻破,下游的一切都将松动。

二、为什么 Vlad 反复强调“数学”,而不是“应用”?

因为数学在文明中的地位,从来不是一门学科,而是:

  • 所有确定性知识的源头。
  • 物理定律来自数学
  • 工程设计来自数学
  • 金融模型来自数学

密码学、区块链、核物理、航天、AI 本身,都来自数学

当你听到 Vlad Tenev 在谈:

  • 黎曼猜想
  • 霍奇猜想
  • 千禧年难题

你必须意识到一件事:他们并不是想“解几道难题”,而是在尝试“撬动整个科学知识体系的上游水闸”。

三、“从竞赛数学到未解难题”的跃迁,为什么如此恐怖?

这是整段内容中最关键的断层点。

长期以来,人类默认存在一个安全分界线:

  • 竞赛数学 = 训练、技巧、聪明
  • 未解数学 = 创造、直觉、天才

Vlad 自己也说过:他原以为这两者之间存在“非常、非常大的鸿沟”。

但 Aristotle 在短时间内:

  • 协助 / 解决 11 个 Erdős 问题
  • 将问题形式化
  • 在 Putnam 中解出 10/12 题

这意味着什么?这条被认为是“不可跨越的鸿沟”,可能只是人类工程能力尚未覆盖的盲区,而不是本质限制。

四、Erdős、Bacon、Putnam:这些“文化符号”为何如此重要?

很多人会把这些当作数学圈趣谈,这是严重低估。

1️⃣ Paul Erdős 的意义

Paul Erdős 不是普通数学家,而是:

  • 数学协作网络的化身
  • 问题驱动式研究的极致
  • “问题本身比作者更重要”的象征

当 AI 开始系统性地处理 Erdős 问题,意味着:AI 已经进入“数学共同体”的核心网络,而不是外围模仿。

2️⃣ Putnam 的象征意义

Putnam 不是为了“解题”,而是为了筛选:

  • 思维速度
  • 抽象能力
  • 创造性

而 Aristotle 在 Putnam 上的表现,传递了一个冷酷信号:AI 已经在“人类最精英智力筛选器”中取得结构性优势。

3️⃣ “孩子超过父母”不是玩笑,是权力转移隐喻

Vlad 反复说那句话:“the child has surpassed the parent”

这不是情绪,而是技术史中反复出现的瞬间:

  • 工具开始超越创造它的主体
  • 理论开始被机器消化、再生产

这正是:认知主权转移的标志性语言。

五、从数学 → 物理 → “工程奇点”的链式反应

当 Vlad 谈到:

  • 四种基本力
  • 引力统一
  • 超光速
  • 时间旅行

他并不是在做科幻营销。

他在陈述一个极其严肃的工程逻辑:如果你能系统性推进数学证明,那理论物理不再是灵感驱动,而是搜索空间问题;工程不再是试错,而是可计算路径。

这意味着:

  • 科学发现速度可能出现指数跃迁
  • 工程上限被整体抬升
  • 人类不再是“唯一发现者”

六、为什么 Vlad 说“这比我想象快得多”?

这是整段话里最诚实的一句。

因为这暴露了一个事实:连最接近系统的人,都低估了“AI 一旦进入形式化知识领域”的加速度。

这在技术史上是常态:

  • 飞行
  • 原子能
  • 半导体
  • 深度学习

一旦突破“不可形式化边界”,增长速度会迅速脱离人类直觉。

七、这段内容对金融、加密、文明意味着什么?

1️⃣ 对金融

  • 定价模型
  • 风险建模
  • 市场结构

数学不再是稀缺技能,而是基础设施。

真正稀缺的,将是:“决定把数学用在哪”的判断权。

2️⃣ 对加密与密码学

如果 AI 能系统性推进数学证明:

  • 现有密码假设的安全边界将被重新评估
  • 抗量子迁移将提前

“不可破解”的概念将被重写

3️⃣ 对文明本身

数学长期以来是:人类对宇宙的“最终解释语言”。

当 AI 能参与、甚至主导这种语言的扩展时:人类将首次不再是“理解世界”的唯一主体。

八、终极总结

这不是 AI 在解数学题,而是数学本身正在变成一种“可自动推进的过程”。

或者更狠一句:当机器开始参与“证明什么是真的”,人类文明的方向盘,已经不再只握在我们手里。

九、你真正该“学走”的三条硬核认知

AI 对文明的最大冲击,不在应用层,而在“知识生成层”

数学一旦被系统性推进,所有科学都会被重新加速

未来真正的权力,不在解题者,而在“问题选择者”

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