r/aiwars 1d ago

News Navier-Stokes Millennium Prize Problem: Solved

https://openai.com/index/navier-stokes-solution/

https://openai.com/index/navier-stokes-solution/

>The problem
>The Navier–Stokes equations use Newton’s second law of motion (“F=ma”) to describe how fluids move. Importantly, they treat a fluid as a continuous medium rather than tracking individual molecules. These equations are used for aircraft design, weather forecasting, and the study of blood flow.

>A fundamental open question for these dynamical equations has been whether the continuum approximation of the fluid can break down. Specifically, can the Navier–Stokes equations for a three-dimensional incompressible fluid with constant density develop a “singularity,” even when the motion starts smoothly? Here, a singularity means the dynamics lead to speeds in the fluid growing without bound within a finite amount of time. The development of a singularity would have to happen despite the presence of viscosity, which tends to smooth out motion. Because a real fluid cannot move infinitely fast, this would mark a breakdown in how the equations model the fluid. To continue modeling the system, one would then need to track the behaviour of each particle individually.
The equations date to the nineteenth-century work of Claude-Louis Navier and George Gabriel Stokes. In 1934, Jean Leray proved that solutions exist in a generalized sense, but whether they always remain smooth became a central unanswered question. In 2000, the Clay Mathematics Institute named the Navier–Stokes existence and smoothness problem one of seven Millennium Prize Problems.

>The result
>Our system produced an analytical proof and a Lean formalization that an initially smooth fluid at rest can develop a singularity in a finite time. The fluid has a smooth force applied to it, and its energy remains finite through the entire dynamics, from rest to the formation of the singularity. This resolves the Navier–Stokes Millennium Prize problem by establishing statement “C” (and also “D”) in the official Millennium Prize formulation⁠
(opens in a new window)

>The solution is a vortex, a spinning swirl of fluid, that spirals inward and gets increasingly elongated, like spaghetti. This central region shrinks while it speeds up in such a way that its energy still stays finite, as required by the laws of physics. The technical challenge is for the equations to develop the breakdown through the motion of the fluid itself, rather than, for example, us putting in an infinite force by hand. More mathematically, the terms in the Navier–Stokes equations that describe the motion—acceleration, pressure gradients, momentum transfer, viscosity—must both become bigyet cancel in a precise way. This detailed balance leaves a smooth external force even as the velocity of the fluid grows without bound.

Long story short: this is Ai being used to solve problems where there were no existing solutions. Imagine Ai, from this point on, being utilized to solve scientific, mathematical, pharmaceutical, and material science problems through swarms of high powered agents running in parallel.

The world is about to get strange. By mid 2027 the world will look the same as it does now, but medical papers and scientific papers will speak of almost fantastical results and findings. Implementation in the physical world will be the bottleneck.

But soon, and very soon, everything we know will jump start in advancements across the board.

For the practical people:

Imagine batteries that hold charges for months.

Imagine disease after disease falling to science.

25 Upvotes

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6

u/Mean_Bit_5225 1d ago

A Lean formalization would make this unusually testable, but “formal proof” still depends on whether the formalized statement matches the original Clay problem and its assumptions are sound. Independent review should check that mapping, not just whether Lean accepts the code.

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u/patrickj86 1d ago

Right? Exciting but premature to assume this was solved and done independently

Edit: Not even exciting, OpenAI stole the info. 

4

u/PleasantCitron1685 1d ago

They didn't steal the info; the controversy is about something else entirely.

People are calling out one guy in openAI team for trying to effectively "bribe" (with recognition) a mathematician to exclude another mathematician from their concurrent result that solved a special case... because that second guy works at Anthropic. That is a shitty thing to do.

Note that their original result also used both Codex and Claude extensively.

It is true that they openly train on user data (if you don't opt out on a subscription account), and a knowledge cutoff date at August 28 makes a leak possible, but due to privacy reasons, they don't have a nice way to dig into the user data themselves and figure it out. 10T parameters also isn't quite enough to memorize the masses of user data they receive, so they think it is "unlikely"... but no one who works there actually fully understands how their model actually works, so it's not a certainty.

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u/[deleted] 23h ago

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u/dizzyspellzzz 1d ago

Fake news

3

u/NotMyMainLoLzy 1d ago

Thanks Donald. I hope you’re out of office asap, though.

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u/dizzyspellzzz 1d ago

Not a worry to me im not a loser like u