Unverified70% confidenceFactExact time
The emergent capabilities demonstrated by large language models make technological progress highly unpredictable, as models suddenly exhibit new capabilities that their trainers never explicitly designed when model scale crosses a certain computational threshold.
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70%
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Long-term
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8/28/2026
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Related Claims
UnverifiedEmergent Abilities refer to capabilities that large language models suddenly exhibit after the scale or training data reaches a certain threshold, which they did not previously possess.80% similarUnverified随着模型规模从百万参数扩展至千亿参数，不理解底层数学的工程师越来越难以诊断训练不稳定、梯度爆炸或模式崩塌等问题79% similarVerifiedLarge language models expose their weaknesses when multi-step reasoning, spatial imagination, or creative thinking outside the distribution of training data is required.77% similarUnverifiedThe understanding of text-to-image models is essentially large-scale statistical association, and generation quality drops significantly when dealing with long-tail concepts that appear rarely in the training set.77% similarUnverifiedForcing small language models to approximate deterministic problems probabilistically sacrifices accuracy and energy consumption, and much of the unreliability in edge small models is avoidable.75% similar
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