Verified80% confidenceOpinionExact time
A 2023 Stanford paper argued that emergence is a measurement artifact caused by the choice of evaluation metrics, and that with smooth metrics the capability improvement is continuous.
11
Sources
80%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Getting Started with AI Agents: A Deep Dive into the Perception-Decision-Action Loop
bilibiliAI大模型学习圈7/9/2026
Related Claims
UnverifiedA 2023 Stanford University study found that when finer-grained evaluation metrics are used, capability improvements are smooth and gradual, and emergent phase transitions may be an artifact of evaluation metric selection.85% similarUnverifiedIn 2023, Stanford research challenged emergent abilities, pointing out that so-called 'emergence' may be an artifact of the choice of evaluation metrics, and that when re-evaluated using metrics with better continuity, many seemingly abrupt capability jumps actually appear as smooth, gradual improvements.76% similarUnverified斯坦福2023年的ReAct论文研究表明，在提示词中明确标注错误类型比模糊描述的修复成功率高出3-5倍70% similarUnverifiedSome research in 2024 questioned the reality of emergence, arguing that some seemingly emergent phenomena may be merely illusions caused by discontinuous evaluation metrics.70% similarUnverified涌现能力指大模型某些能力在特定参数量阈值后突然出现，由Wei et al. 2022年论文系统记录68% similar
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