English(EN) What’s something you’ve tried with ChatGPT that you’re surprised it still can’t do?

ChatGPT用户讨论AI令人惊讶的局限性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-15 12:44

Reddit的r/OpenAI社区用户正在讨论ChatGPT的局限性，特别是那些尽管AI能力先进但似乎仍然很困难的任务。一位用户分享了尝试生成一张有八张不同面孔的海报的经历，并指出ChatGPT难以保持每个人的肖像准确性。这引发了一场关于哪些看似简单的任务仍然对AI构成挑战的更广泛的讨论。 AI

影响突显了生成式AI在处理复杂、多元素视觉任务方面的当前局限性，指出了未来发展的方向。

排序理由用户生成的关于AI产品局限性的讨论。

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

本文如何被排名

Signal score: 3 / 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AI产品局限性的讨论。
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。

r/OpenAI TIER_2 English(EN) · /u/Harri_32 · 2026-09-15 12:44

你用ChatGPT尝试过什么，但令你惊讶的是它仍然无法做到？

<div class="md"><p>What have you asked ChatGPT to do that seemed like it should be straightforward by now, but it just couldn’t get right?<br /> I recently tried making a poster for work with eight different people’s faces on it. It couldn’t get everyone’s likeness…