Unverified50% confidenceFactExact time
The poster explicitly states that he is "looking for people willing to step outside the language model paradigm when thinking about deep learning".
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/16/2026
First Seen
Valid until: 10/30/2026
Sources
Related Entities
Related Claims
Unverified深度学习时代模型越强大，其错误越需要专家才能发现，语言学家以质量守门人的角色重返AI领域72% similarUnverifiedOpenAI、DeepMind等机构的多项研究都证实了大语言模型谄媚问题的普遍性66% similarUnverifiedOpenAI研究员Ilya Sutskever曾提出，纯文本训练的语言模型本质上是在学习世界的压缩表征65% similarUnverifiedThe core finding is that the ability to learn a language in context can arise from a purely synthetic, non-linguistic prior.65% similarUnverifiedTerence Tao has previously discussed publicly the possibility of using large language models as research collaborators, recognizing their practical value in literature retrieval, idea inspiration, and formal verification assistance.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1042737API
curl https://kongchang.com/api/v1/knowledge/claims/1042737MCP
get_claim(id=1042737)