Unverified60% confidenceFactTime unknown
Karpathy指出LLM编程的三大核心问题：错误假设、过度复杂化、越界修改
2
Sources
60%
Confidence
Long-term
Relevance
6/2/2026
First Seen
Sources
Karpathy四原则修复Claude Code三大痛点实战指南
bilibiliGoldenSpiderAI
Related Entities
Related Claims
Unverified当前LLM在代码生成上存在幻觉问题、上下文窗口限制和安全隐患三个系统性弱点67% similarUnverified当前LLM存在系统性弱点：倾向于迎合提示词中的预设前提（确认偏误），而非独立验证代码正确性65% similarUnverified并行生成中局部token错误更难被全局约束修复，对代码和数学等强逻辑依赖任务影响尤为明显65% similarUnverified经典LLL算法在使用精确有理数运算时中间有理数位长最坏可达O(n·β)级别，整体复杂度达到O(n⁵·β³)甚至更高64% similarUnverified将全量用户语句都交给大模型处理会同时导致延迟、成本、稳定性三大问题崩盘64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/37618API
curl https://kongchang.com/api/v1/knowledge/claims/37618MCP
get_claim(id=37618)