Unverified50% confidenceFactExact time

After traditional software goes live, its code basically stays unchanged, whereas machine learning systems gradually degrade due to data distribution drift and changes in upstream data sources, thus requiring continuous retraining and performance inspection.

1

Sources

50%

Confidence

Long-term

Relevance

10/13/2026

First Seen

Sources

Why Do Most Enterprise AI Projects Stall? Four Common Pitfalls and How to Fix Them

Related Entities

机器学习系统concept 数据分布漂移concept

Related Claims

Unverified静态生成的文档会随代码演进失效，只有能持续跟踪变更、增量更新的工具才能真正解决文档过时问题67% similar UnverifiedAI对最新技术栈的掌握存在训练数据截止日期限制，对版本迭代频繁的框架可能给出基于已废弃旧版API的代码66% similar UnverifiedLLM在预训练完成后权重被固化，无法通过新数据自动更新，更新必须重新训练或微调65% similar

Cite This Claim

Stable URI

https://kongchang.com/claim/1017135

API

curl https://kongchang.com/api/v1/knowledge/claims/1017135

MCP

get_claim(id=1017135)