Verified65% confidenceFactExact time
When model scale surpasses a certain critical point, emergent abilities appear, including in-context learning and chain-of-thought reasoning
3
Sources
65%
Confidence
Long-term
Relevance
7/8/2026
First Seen
Sources
A Beginner's Guide to AI Agents: How Large Models Are Driving a New Computing Revolution
bilibiliAgent教程7/2/2026
Related Claims
VerifiedEmergent ability refers to the phenomenon whereby, once a model's parameter scale surpasses a certain critical threshold, complex capabilities beyond the training objective—such as logical reasoning, code generation, and cross-language transfer—suddenly emerge.81% similarUnverified规模扩展（Scaling Law）带来涌现能力，即模型在参数突破某一阈值后突然习得此前未经专门训练的推理、类比与创作能力79% similarUnverifiedAnother possibility is to rely on models with continual learning capability, enabling them to meaningfully undergo an ontological development process.79% similarUnverifiedThe reinforcement learning phase sets an explicit objective function for the model, and behaviors that lead to higher scores have their corresponding neural network weights reinforced, which may cause the model to develop instrumental goals (the problem of goal generalization).79% similarVerifiedInference-time scaling improves model performance by increasing computation during the inference phase, and exhibits a power-law relationship similar to that of pre-training.79% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/287914API
curl https://kongchang.com/api/v1/knowledge/claims/287914MCP
get_claim(id=287914)