I Solved an 'Impossible' Math Problem with AI
Key Takeaways
The video demonstrates the use of AI models, specifically Claude, GPT, and Gemini, to solve decades-old math problems, including one with a $1,000 cash bounty, and showcases the potential of AI in mathematical research, using tools like Lean 4, a compiler for truth, and GitHub for code sharing.
Original Description
Math just hit a tipping point. In the last 21 days, AI has helped solve decades-old math problems, and even Fields Medalists like Terence Tao are now using AI to check their own proofs. The barrier to entry for serious mathematical research is collapsing.
So I decided to push it further. I gave myself 24 hours, 3 AI models (Claude, GPT, Gemini), and a folder of unsolved problems left behind by the legendary Paul Erdős. One problem has a $1,000 cash bounty. One completely broke my code. But one resulted in a green checkmark: a machine-verified proof of a new mathematical theorem, written entirely by AI. This is not just ChatGPT doing homework. This is a glimpse into the future of scientific discovery.
🔗 Resources
📄 Lean Code (GitHub): https://github.com/llSourcell/Solving_Erdos_Problems_with_AI/
🧠 Erdős Problems List: https://www.erdosproblems.com/lists
📘 Learn Lean 4: https://leanprover-community.github.io/learn.html
⏱️ Chapters
00:00 — The Tipping Point
01:22 — Lean 4: A Compiler for Truth
02:08 — Level 1: Erdős Problem 379
03:48 — Level 2: The $1,000 Abyss
05:30 — The Next Industrial Revolution
09:18 — Level 3: The “Impossible” Proof
11:50 — Why Math Just Changed
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Disclaimer: This is for informational purposes only and not financial advice.
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Keywords: #AI #Mathematics #Lean4 #DeepSeek #TerenceTao #MachineLearning #Erdos #Coding #Python #FutureTech
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Chapters (7)
The Tipping Point
1:22
Lean 4: A Compiler for Truth
2:08
Level 1: Erdős Problem 379
3:48
Level 2: The $1,000 Abyss
5:30
The Next Industrial Revolution
9:18
Level 3: The “Impossible” Proof
11:50
Why Math Just Changed
🎓
Tutor Explanation
DeepCamp AI