I request and ask you to allow/maintain **AND MANUAL MODEL SELECTION !** when releasing GPT-5

Dear OpenAI developers,

in reference to the article:

https://www.bleepingcomputer.com/…-5/

I request and ask you to allow/maintain AND MANUAL MODEL SELECTION ! when releasing GPT-5.

—Rationale:

Have both options - automated settings and manual model selection - this would truly satisfy a diverse user base.

Manual model selection - allows for greater control over how the response is generated, which can be crucial

for achieving a specific tone, structure, or style, such as in creative writing, detailed analyses, or challenging work tasks. Having the option to intervene and adjust settings according to personal preference provides a sense

of certainty and adaptability that automated optimization may not always offer.

Automated settings selection - would be convenient in cases when the user does not wish to spend time

fine-tuning parameters, and instead prefers to rely on an intelligent system capable of contextualizing the query

and delivering the most appropriate answer without intervention.

This combination could work as a great hybrid - basic automation complemented by the option for manual intervention whenever the user desires.

If GPT-5 allowed for an easy transition between manual control and automated mode, it would be a useful tool not only for regular users but also for professionals with specific requirements for AI outcomes. It could be especially valuable in creative writing or when tackling complex problems, where fine-tuning the nuances of style and content is important.

Specific examples of situations for both methods - manual model selection and automated settings selection.

Manual model selection

Example 1: Creative Writing For instance, consider a fantasy writer who has a precise idea of the tone, vocabulary, and rhythm of narration. With manual selection, she can explicitly choose the model or adjust parameters (such as the level of creativity, language liveliness, etc.) that she prefers. This would result in a text that faithfully reflects her vision, without the system automatically modifying that aspect according to a generic setting.

Example 2: Academic or Professional Writing A user who needs to prepare a precise text with an emphasis

on accurate terminology and formal language could benefit from manual model selection. This option would allow them to choose a version that, for example, favors more structured and factual responses. They would have clarity regarding the expected output, along with the ability to fine-tune subtle differences in tone or detail depth.

Example 3: Precise Programming Answers A developer might require a response containing very specific code snippets or explanations, where precision and consistency in formatting are crucial. Manual settings would enable him to select a model optimized for technical queries, or to precisely define how detailed the steps or recommendations should be presented.

Automated settings selection

Example 1: Quick Queries For example, a query for current information-a brief summary of a news report

or a definition of a term. In this case, it is advantageous for the system to automatically select the most appropriate parameters for a quick and concise response based on context and previous interactions, eliminating the need

for manual fine-tuning.

Example 2: Dynamic Conversation During a regular conversation, where queries can shift from informational

to more personal or creative, automated selection could react flexibly. The system would analyze the context

of the current discussion and automatically switch between modes-choosing a more suitable style of response

when moving from factual information to personal examples.

Example 3: General User Queries Many users prefer a simpler interaction where they simply pose a question

and immediately receive an answer without having to set any details. Automation here minimizes cognitive load,

as the system optimizes the output to suit the immediate intent of the query on its own.

Overview in a clear table

Method Situation Advantages

Manual model selection Creative writing, academic texts, technical queries Provides precise control over style, tone, and detail; accurately meets specific requirements

Automated settings selection Quick informational queries, dynamic conversations, general user questions Offers convenience without manual fine-tuning; the system adapts the output based on context and interactions

In conclusion: Both methods have their strengths, with manual selection offering maximum flexibility

and precision when the user desires full control over the style or format of the response. Conversely, the automated method is ideal for quick, dynamic, and less specific situations, where the user is content with a “smart” system

that adapts on its own.

Thank you, and I hope you will accommodate all users. I look forward to your response.

Dana

I apologize for the language style - I use a translator.

Dear pozama,

You read an article written by a person with very poor reading comprehension skills, or a gift of fabrication.

Here is the actual source they’d like to think they can distort for a clickbait story, an AMA with the Codex development team, but you can read everything of u/jerrytworek and see that there is nothing written to base such an article on. Scroll to bottom Reddit - The heart of the internet

Summary:
Q: how might GPT-5 work with code (like codex) as a computer use model?
A: .. is meant to just make everything our models can currently do better and with less model switching

1 Like

Hi, I’m so sorry, but since the articles are translated by an automatic translator, I sometimes miss the meaning of the message.
Thank you, hi Dana