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I don’t want the new Codex – GPT-5 give us the previous model (Coding)

I don’t want the new Codex – GPT-5 give us the previous model (Coding)

Concerns Regarding the Latest GPT-5 Codex Update: Preferences for Previous Models

In the rapidly evolving landscape of artificial intelligence, AI models like OpenAI’s Codex have become invaluable tools for developers and programmers. Recently, some users have expressed dissatisfaction with the latest iteration of GPT-5’s Codex model, highlighting significant performance and usability concerns.

User Feedback on the New Model

A portion of the community has noted that the newest GPT-5 Codex seems to underperform compared to previous versions. Users have reported that the updated model appears less efficient, exhibiting what they describe as a “laziness” in task execution. Tasks that were previously completed automatically or seamlessly now require additional manual input, which hampers workflow and productivity.

One user shared their frustration, mentioning that features which once streamlined their development process now seem diminished. They also pointed out that although access to earlier models remains available, the ability to switch between models is crucial—a feature that can help mitigate the impact of changes that don’t meet user expectations.

Impact on Development Projects

The issues with the updated GPT-5 Codex have reportedly affected ongoing projects, causing delays and complications that persisted for multiple days. Some users describe an emotional attachment to previous versions, lamenting that the latest updates do not align with their expectations or needs.

The Call for Flexibility and Stability

This community perspective underscores a broader desire within the developer ecosystem: the need for stability, transparency, and user control over AI tools. Many users are requesting the ability to choose between different model versions, advocating for a return to previous iterations when the new updates do not perform as expected.

Conclusion

AI development is a continually evolving field, but maintaining user trust and satisfaction is paramount. Developers and users alike appreciate transparency and flexibility—especially when new updates impact productivity negatively. As the community navigates these changes, open dialogue and support for model selection can ensure that tools like GPT-5 Codex continue to empower rather than hinder the creative and technical processes.

Would you like to share your experience or suggestions regarding AI model updates? Feel free to leave a comment or contact the support team to voice your preferences.

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