Uploaded December 2025 | Updated September 2026, 2 weeks ago
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): github.com/llSourcell/Solving_Erdos_Problems_with_AI
🧠 Erdős Problems List: erdosproblems.com/lists
📘 Learn Lean 4: 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
🚀 Sponsor: The Infrastructure of the Future
This video is sponsored by Humanoid Global Holdings (OTC: $RBOHF).
We are at the zero-mile marker of the most profound productivity shift in human history: humanoid robotics. To gain exposure to private companies building this future (including Agility Robotics and Apptronik), learn more about Humanoid Global Holdings.
Disclaimer: This is for informational purposes only and not financial advice.
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📲 FOLLOW
X: https://x.com/sirajraval
Instagram: instagram.com/sirajraval
LinkedIn: linkedin.com/in/sirajraval
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Keywords: #AI #Mathematics #Lean4 #DeepSeek #TerenceTao #MachineLearning #Erdos #Coding #Python #FutureTech
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): github.com/llSourcell/Solving_Erdos_Problems_with_AI
🧠 Erdős Problems List: erdosproblems.com/lists
📘 Learn Lean 4: 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
🚀 Sponsor: The Infrastructure of the Future
This video is sponsored by Humanoid Global Holdings (OTC: $RBOHF).
We are at the zero-mile marker of the most profound productivity shift in human history: humanoid robotics. To gain exposure to private companies building this future (including Agility Robotics and Apptronik), learn more about Humanoid Global Holdings.
Disclaimer: This is for informational purposes only and not financial advice.
📬 CONTACT
Business: hello@sirajraval.com
📲 FOLLOW
X: https://x.com/sirajraval
Instagram: instagram.com/sirajraval
LinkedIn: linkedin.com/in/sirajraval
🔔 Subscribe for more AI videos!
Keywords: #AI #Mathematics #Lean4 #DeepSeek #TerenceTao #MachineLearning #Erdos #Coding #Python #FutureTech
