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GPT Astra Will Eat Mathematics
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I discuss OpenAI's mathematics paper and reports of people using AI for research-level problems. The central question is how researchers can verify the work these models produce as AI-assisted research expands.
⏱️ TIMESTAMPS:
0:00 GPT Astra Is Coming for Mathematics 0:10 OpenAI's Paper: Ten Advances in Mathematics 0:38 Research-Level, Not College-Level 0:57 GPT 5.6 Sol Is Already Doing It 1:08 The 50-Year-Old Jacobian Conjecture 1:35 Solving Research Math from Voice Mode 1:47 Nobody Can Verify AI's Work Fast Enough 2:45 Grok 4.6 and What Comes Next 3:05 From Intelligence to Real Applications
🔗 SOURCES FROM THE VIDEO:
• OpenAI - Ten Advances in Mathematics and Theoretical Computer Science: https://openai.com/index/ten-advances-in-mathematics • The full paper (PDF): https://cdn.openai.com/pdf/ten-proofs-oai.pdf • Six open Erdős problems in five days with GPT 5.6 Sol: https://x.com/Qiaoqiao2001/status/2080003441821163958 • Epoch AI open problem - The 2-adic Absolute Galois Group: https://x.com/DavidTurturean/status/2081780318881677693 • Alex Gerko on "vibe researching" several PhDs' worth of maths: https://x.com/wojkuli/status/2083555463300522400 • Report that OpenAI is preparing to launch Astra: https://x.com/synthwavedd/status/2085365276640702915
🛠️ TOOLS MENTIONED:
• ChatGPT: https://openai.com • Codex: https://chatgpt.com/codex • Claude Code: https://claude.com/product/claude-code • Grok (xAI): https://grok.com
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💬 DROP A COMMENT:
If AI can produce research-level proofs faster than humans can verify them, what should mathematicians actually be doing differently right now?
#GPTAstra #OpenAI #AIMath


