Capabilities that appear in large models but are absent in smaller ones, arising from scale rather than explicit training — such as in-context learning or ch...
When an AI suddenly learns to do something cool that nobody taught it — like a surprise new trick!
When AI models develop unexpected abilities as they get bigger — skills that weren't specifically trained for, like solving math or writing code.
Capabilities that appear in large models but are absent in smaller ones, arising from scale rather than explicit training — such as in-context learning or chain-of-thought reasoning.
Qualitative capability transitions observed at certain model scale thresholds, where abilities like arithmetic, translation, or analogical reasoning appear discontinuously as a function of parameters or compute.
Phase-transition-like phenomena in scaling curves where task performance jumps non-linearly beyond a critical compute threshold — debated as to whether they reflect genuine emergence or are artifacts of evaluation metric choice and threshold effects.
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