AI is forcing Tao Te Ching to come up with "Math 2.0".

  It's the first time in the history of the world.

On October 9, this year, at the California Institute of Technology's Beckman Hall, a speech was delivered a year late.

On the stage, it was the winner of the Fields Prize.

It was originally titled "Machine Aided Demonstration". But in these months of AI madness, the world has been turned upside down.

So, he rewrote the whole speech, with the latest theme being "Honey".Mathematics 2.0（Math 2.0）。

AI at the forefront has moved the world of mathematics from the old age of "proving scarcity" into the new age of "proving excess". But if we are obsessed with making AI go crazy, humanity will ultimately be created by the divine feedback.

Why now? Because the mathematical oddity has arrived.

The weird thing about mathematics is that it's here.

Scott Aaronson, a world-leading quantum computing researcher who spent two years working on security at OpenAI, recently said this.

It was a massacre.

In May, OpenAI used AI to solve the Eldersh unit distance problem, which may be the first major mathematical problem to be solved by an AI model.

On September 8, the Millennium puzzle was solved.

OpenAI used an unpublished internal giant model to coordinate about 10,000 AI entities. They took 88 hours to prove the Navier-Stokes equation's finite time oddity and completed Lean language formalization verification.

This is one of the million-dollar "Seven Great Mathematical Puzzles of the Millennium" awarded by the Clay Mathematical Institute.

But to OpenAI, this is not a great breakthrough in the history of human sciences, it is just an insignificant demonstration of AI capability.

On 6 October, OpenAI aired more than 700 mathematical manuscripts.

They have an open repository on GitHub containing over 700 mathematical papers independently generated by AI, covering 372 results.

On average, for every extremely complex open mathematical problem, the model takes only 3 hours of arithmetic to think about. It even proves that the zeta function is zero at Re(s)>7/8 and pushes the boundary of the Liman conjecture.

Another giant, Anthropic, had previously announced that Claude had raised the Limanzeta function's abnormal zero-point threshold from 41.6% to 67.2%.

Google DeepMind's AlphaProof has already reached the gold level of the International Olympic Committee (IMO).

GoGo died in 2016. That year, AlphaGo defeated Lee Seung-soo, and from that point on, human Go-Go's became a purely "entertainment activity".

A decade from now, the glory of mathematics, the glory of the human mind, seems to be repeating itself.

Mathematicians panicked, and the whole mathematical community exploded.

Subsequently, the names of the 25 winners of the Fields Awards were shared, warning that AI's targets were seriously misplaced.

Just at the crossroads where all human mathematicians are facing an intellectual crisis, Tao Te Ching stood up and published Ph.D.

In order to understand this earthquake, we must first see where we came from.

In the past few millennia, Tao Te Ching has defined the history of the world as:The age of mathematics 1.0. 。

The most basic logic of this era is four words:Evidence of scarcity。

What is evidence of scarcity?

Looking back on history, mathematics belongs to a very small number of geniuses.

The Fermat theorem, which plagued mankind for more than 300 years, was not proved until Andrew Wiles was locked up in the tower for seven years.

Poincaré guesses that countless mathematicians folded until Perelman was born in space.

In the rules of mathematics 1.0, truth is extremely expensive.

To prove a theorem would take generations, even generations, of heart blood. Mathematicians, relying on extremely sharp intuition, scramble through a dark labyrinth to find a way out.

Humanity is the absolute center of this system. Without the manifestation of the human spirit, there is no mathematical progress.

But now the walls have collapsed.

The "proof" that was once hard to come by, is that now, with enough computing power and electricity, AI can continuously spew out its source like a printing press.

This is the historical turning point in what Taoiseach Taoiseach said:We are officially entering the era of "proving excess".

In the past, we struggled to find the answers. Now, the answers are so many that we will never see them again.

Many people cheered for this.

They believe that the ultimate form of mathematics is to let AI take over everything. As long as the problem is thrown to the machine and the machine gives the perfect proof of "yes" or "wrong", the scientific turning point is crazy.

But this is exactly where Tao Te Ching fears.

At a time when everyone was immersed in the fray of AI-brushed open questions, Tao Te Ching threw out an incredibly brilliant, chilling "thought experiment".

He asked everyone a question:

"If AI gave you the perfect anti-cancer drug, would you dare to use it?"

Imagine this scenario: after billions of simulations, superintelligence synthesizes a completely new "compound" that tells you that it can cure all cancers.

But the question arises:Doctors, biologists or chemists don't understand, and no one understands the effectiveness of this drug.

Its molecular structure completely transcends human medical cognition. It is a complete black box.

Now, put this medicine in your hand. Can you eat it?

Can AI avoid the deadly side effects of chronic illness?

This is the warning of Tao Te Ching.

Simply producing a result that seems right but cannot be understood by humans is by no means a victory for science but a very dangerous one."False alignment"。

In mathematics, this danger is equally fatal.

If AI solves a famous conjecture, such as Lyman's conjecture, it gives a 100,000-page formalized proof. The computer verification tool runs around, lights up the green light, and shows "proof of fact".

But no one in the world can understand what is written on these 100,000 pages.

Mathematics is not just about right and wrong.

Mathematics is the foundation of physics, the cornerstone of cryptography, and the skeleton of modern engineering.

If the underlying logic of human civilization were to turn into an incomprehensible black box, it would be no different than building a tower on a hill.

It's not mathematics, it's myth.

"Only solving problems" is a huge trap.

The ships of old times have sunk, and the outline of the new continent is emerging.

Now that proof is no longer scarce, and machines can get the right answers faster than humans, is there any value in math for humans?

The answer to this question is:Yes, and it's more important than ever.

He first sketched it out on the stage at California Tech.It's called Math 2.0.It's a great vision.

In this blueprint, AI has not eliminated humans, but has become an amplifier of human cognition.

The path to sustainable development in mathematics 2.0 is to use AI tools to fully counterfeit and enhance "human understanding".

The rules of the game have changed completely.

In the past, in the era of mathematics 1.0, the core task of mathematicians was to"Solving the Problems of Open Research" is aboutLooking for evidence that is scarce.

In the future (the age of mathematics 2.0) the focus will be on strong collaboration between humans and AI.

Taurus gives a few examples of Math 2.0.

For example, solve "open interpretation problems" rather than just open research problems.

Traditional mathematical research focuses on solving unconquered problems, while the "problem of open interpretation" focuses on:For those mathematical conclusions that have already been proven, but are already proven to be difficult to understand, how to find an explanation that is more inspiring and reveals their essence.

Additionally, examples of mathematics 2.0 include the integration of a large number of mathematical papers into a continuously evolving knowledge network; or the establishment of a large, high-quality formal mathematical knowledge base.

And more importantly,Let AI help mathematicians discover new mathematical principles, research methods and deep insights that will truly advance human understanding of mathematics.

This speech by Tao Te Ching, on the surface of mathematics, reveals the most dangerous paradox of the AI era:

Humanity is gaining answers at an unprecedented rate, but may gradually lose the ability to understand them.

AI writes tens of millions of lines of code, but no one can fully read it.

AI has designed entirely new drugs, but no one knows the full mechanism of action.

AI proves the problem of the century, but no one really understands the idea behind it.

We are increasingly good at creating miracles, but we do not understand why they happen.

For thousands of years, humans have understood the world first and then transformed it.

What's even worse is that we don't seem to care.

The real danger is not that machines are smarter than humans, but that humans are getting used to not thinking anymore.

The ultimate value of science is never the answer, but the understanding.

In the future, AI may actually become an unknown "god".

But it is not possible for people to worship only miracles and become blind believers.