Verified65% confidenceFactExact time
Large language models exhibit emergent capabilities, suddenly displaying abilities not present at smaller scales once the model size exceeds a certain threshold.
3
Sources
65%
Confidence
Long-term
Relevance
9/5/2026
First Seen
Sources
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Unverified大型语言模型在无约束空间中会倾向于创造性发散，而非工程所需的收敛执行79% similarUnverifiedLarge language models show preliminary capabilities on certain Theory of Mind tasks, but still have significant limitations in complex multi-turn, multi-party scenarios.78% similarUnverified大模型本身只是语言引擎，其能力边界取决于接入了多少工具77% similarVerified大语言模型推理的瓶颈往往不在计算能力，而在于内存带宽76% similarUnverifiedAfter large language models exceed a critical scale, new capabilities that were not explicitly taught during the training phase emerge, such as multi-step reasoning, cross-lingual analogy, and tool-use planning.76% similar
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