Another project by Justin Sun that I find extremely interesting this time has nothing to do with the price of $TRX or DeFi. Instead, it focuses on mathematics + AI + open source.
Recently,
@justinsuntron launched The Inaugural 66 Prize Problems of #JustinSunPrize. The concept is quite different from traditional academic awards because this prize does not focus on “who you are, which university you come from, or how famous you are.”
What really matters is:
Can you solve the problem, and can your proof be verified by a machine?
The Justin Sun Prize uses a problem-list model, opening mathematical problems to participants from around the world—including researchers, developers, independent contributors, Human + AI teams, and AI-assisted researchers.
What I like most is that qualifying proofs must pass formal verification, such as through Lean. It is not enough to write an answer that merely appears correct. The proof must allow a machine to verify the logic from beginning to end.
Simply put:
It is not about “believing that it is correct.” It is about “proving it in a verifiable way.”
The highest prize tier, Pinnacle, offers a reward of $1,000,000 for each problem successfully solved and closed.
For me, the most interesting aspect of the first 66 Prize Problems is not just the prize money. It is the fact that this initiative is experimenting with a new model for research in the AI era.
Traditionally, the process looks like this:
A person formulates the problem → a mathematician develops the proof → experts read and review it.
But it could evolve into:
Humans think + AI assists with discovery + Machines verify the proof + Open source allows everyone to review it afterward
If this model succeeds, it could give individuals, small teams, and people outside prestigious universities more opportunities to solve world-class problems. In the end, what gets measured is not reputation, but the quality of the proof.
@JustinSunPrize
@justinsuntron #JustinSunPrize #TGF #TRONGlobalFriends #TRON