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Users report GPT-6.1 in Codex gives confidently wrong answers

By PulseAugur Editorial · [1 sources] ·

Users are reporting that GPT-6.1, when used within Codex for software development, often provides confidently incorrect answers. This necessitates significant user effort to verify the model's suggestions, with users frequently needing to prompt for simpler explanations or real-world examples. The model's tendency to initially present solutions with high confidence, only to retract them after further questioning, is a point of frustration for developers working with large codebases. AI

IMPACT Highlights potential issues with model reliability and the need for robust verification in AI-assisted development workflows.

RANK_REASON User-generated feedback and discussion about a specific model version's performance.

Read on r/OpenAI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Users report GPT-6.1 in Codex gives confidently wrong answers

How we ranked this

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
User-generated feedback and discussion about a specific model version's performance.
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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
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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.

Full methodology in our editorial standards.

COVERAGE [1]

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

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

    <!-- 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…

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