Unverified50% confidenceFactExact time
Channel capacity degradation in information theory can describe the model collapse process: each time a signal undergoes lossy transmission and is re-encoded, quantization errors are introduced, and if the output is used as the next input, errors accumulate exponentially.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe "quality degradation" phenomenon refers to a decline in the model's response quality after a user has been using it continuously for a period of time, such as loose code logic, reduced comments, and weakened ability to understand complex requirements.77% similarUnverifiedWhen a model exceeds VRAM capacity, the system is forced to repeatedly transfer data between VRAM and system memory, causing catastrophic performance degradation.74% similarUnverified状态离散化存在权衡:分桶粒度过粗导致信息损失,过细则引发维度灾难,这也是DQN用神经网络替代Q表的核心动机73% similarUnverifiedPlasticity decay refers to the phenomenon where, as a model undergoes more and more fine-tuning updates, its weights gradually solidify and its ability to respond to new information continuously declines.73% similarUnverifiedDuring model collapse, the model successively experiences a reduction in output diversity, loss of minority categories and edge knowledge, and ultimately produces meaningless or highly repetitive outputs.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/989856API
curl https://kongchang.com/api/v1/knowledge/claims/989856MCP
get_claim(id=989856)