I selected gpt4o. oai decided gpt5 was “safer” for my “what’s for breakfast?” query. this has gotten absurd.

Understanding the Challenges of Model Routing and User Autonomy in AI Platforms

In recent experiences with AI language models, users have raised concerns about automated routing decisions that impact their workflow and access to preferred tools. Specifically, some users have encountered situations where, despite selecting a particular model—such as GPT-4—subsequent interactions are automatically redirected to newer or “safer” versions like GPT-5.

This issue becomes especially frustrating when the content in question is simple or non-sensitive, such as asking about breakfast options. The automatic rerouting suggests that the platform’s safety algorithms are categorizing basic, everyday queries as sensitive, thereby overriding user preferences without clear explanation.

Such incidents highlight ongoing debates about the balance between content safety and user autonomy. While protecting users—especially minors—is crucial, overly broad or opaque content moderation can hinder productivity and user trust. When routine questions are flagged and rerouted, it raises questions about the transparency of moderation standards and whether users retain control over their experience.

Many in the user community are calling for greater transparency regarding how models determine what constitutes sensitive content. They advocate for the ability to select preferred models freely, without automatic restrictions that may compromise the effectiveness of the AI for daily tasks. The frustration is compounded by the perception that these changes are applied indiscriminately, without sufficient consideration of individual needs or context.

Ultimately, users are requesting that platform providers honor user choice and restore access to their preferred models. Clear guidelines, transparent decision-making processes, and respect for user preferences are essential to fostering trust and ensuring that AI tools serve their intended purpose: to assist efficiently and reliably.

The core message is straightforward: users want a reliable, predictable AI experience that adapts to their needs without unnecessary interference. Achieving this requires balancing safety protocols with respect for user autonomy—a goal that benefits both platform providers and the communities they serve.