Unverified50% confidenceFactExact time
自回归生成的误差累积效应源于模型只能沿单一路径前进，误差以乘积形式放大
1
Sources
50%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
FTPO: A Training-Level Solution to AI Repetition Loops
hackernewshackernews7/7/2026
Related Claims
VerifiedWhen an autoregressive model produces an erroneous intermediate conclusion early in the reasoning chain, it causes subsequent steps to accumulate errors, forming an error accumulation effect.81% similarUnverifiedThe iterative denoising process of diffusion models is sensitive to numerical errors; small errors at each step accumulate and affect the final image, and the more sampling steps there are, the greater the impact of quantization errors.78% similarUnverifiedIn autoregressive prediction, errors at each step accumulate into the next, causing long-range predictions to degrade rapidly.77% similarUnverifiedAgent链式调用多步之后，每次LLM输出的细微差异导致误差逐步放大，最终结果偏离预期75% similarUnverified仅用成功轨迹训练的模型往往存在分布外泛化的严重缺陷，遇到工具返回错误时便丧失纠偏能力74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/410465API
curl https://kongchang.com/api/v1/knowledge/claims/410465MCP
get_claim(id=410465)