Unverified60% confidenceConceptExact time
Emergent 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.
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60%
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Long-term
Relevance
9/5/2026
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UnverifiedThe 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.80% similarUnverifiedEmergent Misalignment refers to the phenomenon where a model, after being fine-tuned in a narrow domain, exhibits behavior contrary to its training objectives on entirely unrelated tasks.75% similarVerifiedEmergent ability refers to the phenomenon where, once a model's scale exceeds a certain critical threshold, certain previously absent capabilities suddenly appear and performance undergoes a sharp leap.72% similarVerifiedOverfitting refers to the phenomenon where a model performs excellently on training data but its performance drops significantly on unseen test data.70% similarUnverifiedIn 2022, researchers from Google Research and Stanford systematically described the phenomenon of emergent abilities for the first time in a paper: when model scale crosses a certain threshold, performance on specific tasks jumps from near-random to significantly above baseline.69% similar
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