Unverified50% confidenceFactExact time
The entropy of information (the lower bound for lossless representation) and the amount of computation required to generate that information are two different concepts with no necessary equivalence.
1
Sources
50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn small language models, confidence signals based on token entropy almost entirely fail to distinguish between correct and incorrect answers.64% similarUnverifiedThe authors provide new information-theoretic lower bounds, proving in a minimax sense that the complex dependence of the error on q is fundamental rather than an artifact of the algorithm design.59% similarUnverifiedRetrieval accuracy and decision correctness are two different things; when a memory store contains contradictory information, no matter how accurate the retrieval is, it cannot resolve the arbitration problem.58% similarUnverifiedBridging structured and unstructured information spaces without losing constraints remains an unsolved problem for agentic systems.58% similarUnverifiedBy explicitly constraining in the prompt that the AI must never fabricate numbers, the risk of hallucination can be compressed to the language organization level rather than the numerical level.57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/997606API
curl https://kongchang.com/api/v1/knowledge/claims/997606MCP
get_claim(id=997606)