OpenAI's internal model wrote 722 math manuscripts; cryptographers fear for public-key encryption
rohanpaul_ai · x · 2026-10-14
According to The Information, OpenAI's internal model has produced 722 math manuscripts, prompting leading cryptographers to worry that public-key encryption could be next.
- Internet encryption rests on the unproven bet that no one can work backward from a public key to a private key
- Johns Hopkins professor Matthew Green gives 15% odds that AI erodes public-key encryption
- Rapid AI progress in mathematics is pushing the cryptography community to seriously assess frontier-model risk to core encryption systems
More from Models
- GPT-6 Astra Reads Only 46% of VINs Correctly vs Sonnet 5's 86%: Routing Pays Off — arnabdotorg · 2026-10-15
- VLMs May Turn Clearly Superhuman in Vision Within a Year or Two, Researcher Predicts — arnabdotorg · 2026-10-15
- Gemini 4 Argon Trails GPT 6 Astra by Just 25 Points on Physical Agents Index — qinzytech · 2026-10-15
- GPT-6-Astra scores 98% on unpublished theoretical physics problems, catching expert errors — sandersted · 2026-10-15
- Devs report quality degradation when Kimi K3 is served via third-party providers — casper_hansen_ · 2026-10-15
- Gartner's 2026 GenAI Hype Cycle: Agentic AI still climbing, AGI 10+ years out — luisdans · 2026-10-15