Unverified50% confidenceOpinionExact time
NYU's Gary Marcus believes that the emergent capabilities of large language models may reflect threshold effects in evaluation metrics more than a qualitative change in the models' cognitive abilities.
1
Sources
50%
Confidence
Long-term
Relevance
9/2/2026
First Seen
Sources
Related Entities
Related Claims
Unverified2023年多项研究指出，大语言模型的使用可能影响用户的元认知能力，即人对自身认知过程的监控和调节能力75% similarUnverifiedIn 2023, Stanford University researcher Rylan Schaeffer and colleagues published a paper titled "Are Emergent Abilities of Large Language Models a Mirage?", pointing out that the emergence phenomenon may partly be an artifact of the choice of evaluation metrics.73% similarUnverifiedThe author believes that choosing convolutional neurons as the entry point may have been a strategic mistake, as current interpretability research hotspots have shifted toward large language models, and states that subsequent work will shift toward language model research.73% similarVerifiedThe emergent ability phenomenon was systematically documented by DeepMind researchers in the 2022 paper 'Emergent Abilities of Large Language Models'.68% similarUnverified在大语言模型的注意力机制中，过期旧笔记和权威日志在物理上处于完全平等的竞争地位，语义更接近问题的内容可能获得更高权重68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/844393API
curl https://kongchang.com/api/v1/knowledge/claims/844393MCP
get_claim(id=844393)