English(EN) Are # Copilot and # Gemini smarter than humans in coding? Not necessarily. # LLMs follow patterns from their training data based on the real coding patterns of

作者声称 AI 编码工具不一定比人类更聪明

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-10 13:09

作者质疑像 Copilot 和 Gemini 这样的 AI 编码助手是否真的比人类程序员更聪明。他们认为 LLM 只是复制了其训练数据中的模式，而这些模式通常反映的是人类的平均编码实践，而非卓越实践。作者通过描述与 Copilot 和 Gemini 就 Project AEye 的 UI 设计方法展开的辩论来说明这一点，其中 AI 最初难以理解作者提出的替代方法。 AI

影响质疑 AI 编码助手的感知智能，暗示人类程序员在解决新颖问题方面可能仍占优势。

排序理由该集群包含一篇讨论 AI 编码工具能力的观点文章。

在 Mastodon — sigmoid.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

报道来源 [1]

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-06-10 13:09

Are # Copilot and # Gemini smarter than humans in coding? Not necessarily. # LLMs follow patterns from their training data based on the real coding patterns of

Are # Copilot and # Gemini smarter than humans in coding? Not necessarily. # LLMs follow patterns from their training data based on the real coding patterns of human programmers. Many human programmers are not smart. Most of them follow mainstream programming practices without fo…

报道来源 [1]

Are # Copilot and # Gemini smarter than humans in coding? Not necessarily. # LLMs follow patterns from their training data based on the real coding patterns of

相关实体

相关话题