Unverified60% confidenceFactExact time
Codex 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.
2
Sources
60%
Confidence
Long-term
Relevance
7/9/2026
First Seen
Sources
GPT-5.6 Sol Ultra Rumors Decoded: How Codex's Programming Capabilities Could Evolve
hackernewshackernews7/6/2026
Related Claims
UnverifiedCodex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83% similarVerifiedThe underlying mechanism by which large language models generate code is conditional probability prediction based on massive training corpora, and the model does not truly understand code logic75% 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)75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/336263API
curl https://kongchang.com/api/v1/knowledge/claims/336263MCP
get_claim(id=336263)