OpenAI just broke physics...
OpenAI announced its AI has disproved the Exponential Time Hypothesis, potentially challenging decades of computer science and suggesting shortcuts for problems previously considered impossibly hard. This breakthrough could have significant implications for encryption and AI, connecting to the P versus NP problem and the concept of a “cheat code” to the universe. The discussion explores OpenAI’s announcement, the Exponential Time Hypothesis, and the role of AI in mathematics.
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发布当时偏移：UTC+02026年10月27日 12:10 UTC
收录当时偏移：UTC+02026年10月27日 17:00 UTC
- 发布
- 2026年10月27日 12:10
- 收录
- 2026年10月27日 17:00
- 来源类型
- 未分类
- 信源状态
- 正常
OpenAI says its AI has disproved the Exponential Time Hypothesis, challenging a barrier that shaped decades of computer science. Could there be shortcuts through problems we thought were impossibly hard? We unpack the connection to P versus NP, what a practical breakthrough could mean for encryption and AI, and the idea of a “cheat code” to the universe.
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SOURCES:
OpenAI’s announcement: https://openai.com/index/building-scientific-understanding-with-academic-communities/
Scott Aaronson on P versus NP: https://www.scottaaronson.com/papers/pnp.pdf
The P versus NP Millennium Prize problem: https://www.claymath.org/millennium/p-vs-np/
OpenAI’s ETH proof documentation: https://github.com/openai/math/blob/main/lean/docs/378.md
Emanuele Viola: “I believe P=NP”: https://emanueleviola.wordpress.com/2018/02/16/i-believe-pnp/
Yang–Mills existence and mass gap: https://www.claymath.org/millennium/yang-mills-the-maths-gap/
OpenAI’s local smoothing and Kakeya documentation: https://github.com/openai/math/blob/main/lean/docs/079.md
CHAPTERS: 00:00 OpenAI’s Announcement 06:20 P Versus NP 12:35 Exponential Time Hypothesis 14:05 AI and Mathematicians 18:10 The Mountain Analogy 22:00 Computing’s Cheat Code 24:30 Constants and Simulations 27:25 Viola and Physics
#openai #ai #science