Will Navier-Stokes be solved with the help of Google or Alphabet scientists by the end of 2027?
💡 What the odds say
The market puts this at about a 9% chance — very unlikely.
No money — just record your call and see if you were right. Yes is at 9% right now.
Despite recent AI-assisted progress in identifying glitches in fluid equations, the market heavily doubts that the Navier-Stokes problem will be solved by end of 2027 with explicit Google/Alphabet involvement, reflecting the problem's extreme difficulty and the specificity of the condition.
What's driving it
- • The January 2026 Quanta Magazine article showed mathematicians using AI to find hidden glitches in fluid equations, but the market likely views this as incremental progress rather than a path to a full solution (Quanta Magazine, Jan 2026).
- • No recent headlines indicate any direct involvement of Google or Alphabet scientists in a Navier-Stokes breakthrough, so the market prices in low probability of such a specific event within the timeframe.
- • The 2021 IMechE article on AI in mechanical engineering is too dated and general to significantly move the odds, but it reflects a broader trend that may support AI's role in fluid dynamics (IMechE, Jun 2021).
The case for YES
- • Google/Alphabet's expertise in AI, as demonstrated by DeepMind's successes in mathematics (e.g., solving protein folding), could be applied to Navier-Stokes, and the Quanta article shows AI is already being used in this area.
- • The problem's high profile might incentivize Google to allocate resources, and a solution would be a landmark achievement for the company.
- • With 1.5 years remaining, a focused effort by a team including Google scientists could potentially yield a breakthrough.
The case for NO
- • The Navier-Stokes problem has resisted solution for over a century, and a resolution within 1.5 years, especially with the specific condition of Google/Alphabet involvement, is historically unlikely.
- • The Quanta article highlights glitches but does not solve the existence and smoothness question; the market likely expects a longer timeline.
- • Even if a solution is found, it may come from academic mathematicians rather than corporate scientists, making the condition hard to satisfy.
What to watch
- • A public announcement by Google or DeepMind of a new AI model specifically targeting Navier-Stokes would likely increase Yes odds (direction: Yes).
- • The upcoming Fields Medal announcements or major math conferences in 2026-2027 could feature relevant results, but no specific dates are provided in the headlines.
- • As the end of 2027 approaches, if no progress is reported, No odds may increase further (direction: No).
AI-generated · grounded in recent news + odds · informational only, not advice. Verify on the source platform.
Data from Manifold’s public API, for informational purposes only. PredictPal is not affiliated with any platform and does not facilitate trading.
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How it resolves
Resolved by whoever created the market, at their discretion per the question's description. It's play-money (Mana) and not tied to an official source — treat it as a community forecast.
ⓘ A market settles under its own written rules, which can lag what looks decided in the news — so the price may not move to 100% the moment an outcome seems obvious.
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