The launch of GPT-5 is one of the most anticipated events in the software development world. OpenAI's new model is positioned as a leap forward in ...
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Love the GPT-5 vs GPT-4 pricing breakdown. Worth the upgrade?
Well is depends on how you plan on using it.
Finally, a model that can handle legacy code without breaking it.
Can’t wait to try this with our onboarding process for new hires.
Not convinced GPT-5 will replace human code reviews yet.
This feels like the first AI model that can genuinely collaborate, not just generate text.
While GPT-5 is definitely faster than previous versions, I'm still encountering some notable issues. The image processing has improved compared to other models, but it still struggles with text recognition - particularly spelling mistakes in images.
Another frustrating issue is with content revision. When I ask for something and GPT-5 makes errors, instead of providing fresh results or properly solving the original request, it tends to just patch up the incorrect content. This isn't helpful when you need a clean, accurate response rather than corrections built on top of flawed output.
Has anyone else experienced similar issues? The speed boost is nice, but these accuracy and revision problems are holding it back from being truly reliable.
Interesting breakdown on pricing, but I think GPT-4o is still better value for some cases.
Great overview! The reasoning_effort and verbosity controls sound like real game-changers for tailoring output quality vs. speed, and the 400K-token context window could be huge for working with large codebases. I’m especially curious to see if the improved frontend capabilities hold up in production, not just demos. Has anyone here tried GPT-5 on a live project yet?
Love the security improvements, but AI-generated fixes still need serious testing.
This is a great summary highlighting the real advancements GPT-5 brings to the table! 🚀 The leaps in tool integration and automation alone sound like a huge boost for developers juggling complex workflows. Scoring 96.7% on benchmarks like T2-bench really shows how it can handle multi-step tasks more reliably.
I also appreciate the emphasis on reduced hallucinations and improved factual accuracy that’s a game-changer for saving dev time and frustration, especially when dealing with APIs and intricate codebases. Plus, hearing early positive feedback from industry leaders and startups adds strong credibility.
Of course, the real proof will be in live projects and large-scale refactors, but GPT-5 definitely looks like it’s raising the bar for AI-assisted development. Can’t wait to see how teams put this to work in production! 🔥💻
Great examples for front-end, but wish you showed more complex apps.
I have tried GPT-5 and it feels like first AI model that can genuinely collaborate! Thanks for the breakdown Emmanuel!!
Finally they did something useful.