Unverified50% confidenceFactExact time
Codex本质上是一种'下一个Token预测'模型，基于统计规律预测最可能的代码续写，并不真正理解代码语义和业务意图
1
Sources
50%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
AI编程的边界：何时该给自己亮红牌？
Related Claims
UnverifiedCodex essentially inherits the probabilistic generation mechanism of large language models, predicting the most likely code sequences through statistical patterns rather than truly understanding code semantics.83% similarVerified大语言模型本质上是一个基于概率的文本预测系统，其核心机制是「下一个词预测」（Next Token Prediction），并不真正理解语义76% similarUnverifiedWhen a prompt is entered, the model predicts the most likely next token based on context, rather than truly understanding the semantics.71% similarUnverifiedCodex的计划模式机制理论基础来自大语言模型领域的思维链推理（Chain-of-Thought Reasoning）71% similarUnverifiedThe Codex model is based on the autoregressive generation mechanism of the Transformer architecture, treating code as a sequence of tokens, capturing long-range dependencies via the attention mechanism, and generating subsequent code token by token.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/597148API
curl https://kongchang.com/api/v1/knowledge/claims/597148MCP
get_claim(id=597148)