Unverified50% confidenceFactExact time
When models are asked to return the answer as a single 400-character string, most models miscount cells before the logic even becomes difficult, losing their ability to track positional counts.
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedBecause the model operates on tokens rather than letters, tasks such as asking the model to count how many times a word appears or to reverse the letters of a word frequently result in errors.73% similarUnverified对话式大模型输出的证明文字基于统计模式生成,无法保证每个步骤逻辑严格成立70% similarUnverifiedWhen constraining output format through prompts, the model may forget these constraints in long conversations or complex reasoning scenarios.70% similarUnverified对于确定性逻辑故障(模型输出缺陷)应搭建自纠错闭环,把结构化报错信息回传给大模型重新生成参数70% similarUnverifiedIn AI decision-making scenarios dominated by large language models, the model's reasoning process is distributed across the activation states of billions of parameters, making it difficult to establish a complete causal chain from input to output.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/973744API
curl https://kongchang.com/api/v1/knowledge/claims/973744MCP
get_claim(id=973744)