Emergent behavior refers to abilities or patterns that appear in an AI system as it becomes larger, more capable, or more complex, even though those behaviors were not explicitly programmed into it.
A simple way to think about emergence is through scale. An AI model may be trained primarily to predict the next word, but when it reaches a certain level of capability, it can unexpectedly perform tasks such as translating languages, solving mathematical problems, writing code, or following complex instructions. These abilities may not have been directly taught as separate skills.
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