Unverified50% confidenceFactExact time
BDH's state does not persist into model parameters after sequence inference concludes, which is fundamentally different from long-term potentiation in biological synapses.
1
Sources
50%
Confidence
Long-term
Relevance
10/6/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe inference time of classification models is almost independent of the number of categories, whereas the latency of autoregressive generative models is proportional to output length.67% similarUnverifiedThe autoregressive generation mechanism of traditional LLMs determines that they predict token by token in a forward direction, lacking a natural ability to look back.67% similarUnverified提示词中早期出现的词汇因串行依赖结构对后续生成具有不成比例的决定性影响，模型无法回头修正65% similarUnverifiedCurrent generative models are essentially limited to the association level—identifying statistical co-occurrence patterns in data—and lack causal reasoning capability.64% similarUnverifiedThe KV Cache mechanism in inference services may introduce intra-batch state dependencies, causing multiple outputs from the same model within a short period to not be entirely independent.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/981678API
curl https://kongchang.com/api/v1/knowledge/claims/981678MCP
get_claim(id=981678)