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English(EN) Switched from Antigravity to Codex (GPT-6.1): Is Anyone Else Seeing Confidently Wrong Answers?

用户报告 Codex 中的 GPT-6.1 给出自信错误的答案

用户报告称,在 Codex 中使用的 GPT-6.1 经常提供自信但错误的答案。这需要用户付出大量精力来验证模型的建议,用户经常需要提示模型提供更简单的解释或现实世界的例子。模型倾向于最初自信地提出解决方案,但在进一步询问后又撤回,这让处理大型代码库的开发人员感到沮丧。 AI

影响 凸显了模型可靠性方面的潜在问题以及在 AI 辅助开发工作流程中进行严格验证的必要性。

排序理由 用户生成的关于特定模型版本性能的反馈和讨论。

在 r/OpenAI 阅读 →

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

用户报告 Codex 中的 GPT-6.1 给出自信错误的答案

本文如何被排名

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
用户生成的关于特定模型版本性能的反馈和讨论。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, opinion
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/OpenAI TIER_2 English(EN) · /u/ankitjangidx ·

    从 Antigravity 切换到 Codex (GPT-6.1):还有人看到错误答案被自信地给出吗?

    <!-- SC_OFF --><div class="md"><p>I've been using Antigravity for quite a while and recently switched to Codex using GPT-6.1 with medium/light reasoning for software development work.</p> <p>One thing I've noticed is that the model often gives answers that sound very confident bu…