Expired50% confidenceFactExact time
When AI large language models generate code, they silently delete or simplify existing functional modules while adding new features, causing regression defects.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedIn AI-assisted programming scenarios, large language models may exhibit 'sequential hallucination'—beginning to write upper-level code that depends on a lower-level module before that module has been implemented.80% similarVerifiedAI programming tools often experience a decline in code quality after prolonged use due to context overload.79% similarUnverified与AI编程对话拉锯超过3-4轮后，上下文中充斥大量错误代码会让大模型产生混乱，建议清空上下文重新开始78% similarUnverified大语言模型和各类 AI 系统本质上是对现实的抽象与压缩，处理典型情况表现出色，但遭遇长尾场景时容易失效78% similarUnverifiedAI-native architecture places large language models or specialized models at the core of decision-making, with the data layer, logic layer, and execution layer all redesigned around AI's contextual understanding capabilities, and cannot be achieved through incremental upgrades.78% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/53011API
curl https://kongchang.com/api/v1/knowledge/claims/53011MCP
get_claim(id=53011)