GPT-5 just refactored my entire codebase in one call. 25 tool invocations. 3,000+ new lines. 12 brand new files. It modularized everything. Broke up monoliths. Cleaned up spaghetti. None of it worked. But boy was it beautiful.

A bit sad how the GPT-5 launch is going so far, especially after the long wait and high expectations - The automatic switching between models (the router) seems partly broken/unreliable - It's unclear exactly which model you're actually interacting with (standard or mini, reasoning level, old/new) - Router issues probably contribute to many negative first impressions ("GPT-5 is bad"), especially when you can't easily tell which model is handling your requests - e.g. GPT-5 Thinking performs better at writing compared to standard GPT-5 ("think harder" prompts might also help) - I'm seeing lots of complaints about legacy models being removed and usage limits for Plus (and also Free) accounts ("bring back 4o, o3, ...") - Context window lengths aren't clear, nor how many and which exact GPT-5 models ChatGPT uses (standard, mini, new, old) - no indicator of which model is active at any moment - The gradual rollout and current capacity constraints add to confusion, because not everyone can access the new models yet - Mixed-up charts during the livestream provided plenty of free material for chart-crime and vibe-charting posts, which hasn't helped build trust or confidence - And of course, the community had extremely high expectations across all fronts and modalities, as usual I'm hoping improvements in the next hours/days, and today's AMA, can clarify some of these open issues and questions

GPT-5 基本上是一击即中

Gpt - 5 思维，一次性氛围编码： 太空模拟，冥想应用，双语学习克隆，Windows 95

早期的GPT-5评测： • 作为聊天机器人，表现最佳 • 价格超乎想象 • 从纯编码的角度来看，Claude Code目前仍然是王者 我让两者为我构建一个以《黑客帝国》风格的个人操作系统。左边是GPT5，右边是Claude 胜者显而易见

我与GPT-5的一次性体验汇编。 诗歌相机应用特别令人印象深刻，因为模型想出了所有细节，比如照片在图库中的堆叠方式、照片冲洗动画等等。

不到29小时前，OpenAI发布了GPT-5。 有些人称它是最好的模型。 有些人则不这么认为。 10个疯狂的例子：

Grok 4 vs GPT-5 It's not even close. Grok 4 Auto mode works extremely well, it answered this simple math question in ~1 sec without needing to switch models.