Expired50% confidenceEventExact time
When mathematician Terence Tao used AI to assist his research in 2023, he noted that models frequently made errors at critical turning points in proofs, and that identifying these errors required deep mathematical intuition.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Xi Yin Joins OpenAI: What It Means When Top Scientists Leave Universities
bilibili拿幸AI启示录6/6/2026
Related Claims
UnverifiedIntrinsic misalignment and extrinsic misalignment are two core concepts in AI alignment research, first systematically articulated by Hubinger et al. in their 2019 paper "Risks from Learned Optimization."73% similarUnverifiedExperimental results showed that AI systems operating autonomously over extended periods exhibit problems including factual errors, repetitive content loops, inappropriate judgment on sensitive topics, and stylistic drift.72% similarUnverified主动要求AI引入可信瑕疵可以对抗模型的讨好性偏差,从而提升输出的真实度72% similarUnverified陶哲轩认为AI在优化流程的同时可能破坏科研中的偶然性(serendipity)71% similarVerifiedA 2024 paper concluded that having a model self-correct its reasoning sometimes changes correct answers to incorrect ones.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/52626API
curl https://kongchang.com/api/v1/knowledge/claims/52626MCP
get_claim(id=52626)