What’s New? OpenAI’s Enthusiasm Adjustment Feature

Imagine you’re communicating with an AI assistant and wish it had a slightly warmer or more neutral tone.
Are you tired of overly enthusiastic responses or, on the contrary, monotone replies? OpenAI is revolutionizing AI communication by giving users control over ChatGPT’s tone through a new feature that allows adjustments to its enthusiasm level.

This cutting-edge update, announced by OpenAI on December 20, 2025 via TechCrunch, addresses one of the most pressing issues in AI personalization: tone adaptability. How does this work, and what does it mean for users? Let’s dive deeper.

How Does the Enthusiasm Adjustment Work?

The Technology Behind It

OpenAI’s update introduces a simple slider mechanism as part of the ChatGPT interface. Users can adjust the settings to make ChatGPT more energetic or reserved depending on their preferences.
The underlying technology uses advanced natural language processing (NLP) algorithms to modulate tone dynamically.

For instance, setting a higher enthusiasm level could result in responses such as:

• “That’s amazing! Let me help you with that right away!”

Conversely, lower enthusiasm might look like:

• “Sure. Let me assist you with that.”

From Developers to End Users

Initially aimed at developers through the OpenAI API, this functionality is now directly available in the public ChatGPT interface.
Users can find this adjustment option in their settings panel, making it accessible for both casual users and professional contexts where tone refinement is crucial.

Why This Matters for AI Personalization

A Step Towards Truly Humanized Interactions

Personalization has long been a buzzword in the AI space. However, most AI tools focus on content, leaving tone as a secondary consideration. Adjusting ChatGPT’s tone brings an extra layer of interaction that feels more natural and tailored.

This feature can particularly benefit customer service applications, educational tools, and personal assistants. For example:

• Customer service reps can adjust tone as per customer interaction styles.
• Teachers using ChatGPT in classrooms can adopt tones better suited for their students.
• Individuals can set enthusiasm levels based on their mood or needs, such as wanting a more calming tone during stressful situations.

By putting tone customization in the hands of users, OpenAI enables a democratized AI experience adaptable to individual preferences.

Broader Implications for the AI Industry

Fueling Competition

OpenAI’s move to allow users to control ChatGPT’s tone may push other AI players to advance their personalization features. Amazon Alexa, Google Assistant, and Microsoft’s Copilot are just a few examples of AI systems that could benefit from more granular tone adjustments.

Ethical Considerations

While tone adjustment seems exciting, critics point out potential ethical challenges. Could a highly enthusiastic AI tone persuade people to make decisions they wouldn’t otherwise? Or could an overly neutral ChatGPT feel less empathetic in sensitive situations? These concerns will likely guide how OpenAI and other tech companies refine similar features.

How to Leverage This Feature

Ready to experiment with ChatGPT’s new capabilities? Here’s how to use the enthusiasm adjustment in a few simple steps:

1. Log into your ChatGPT account.
2. Access the Settings menu (gear icon).
3. Find the “Tone Adjustment” or similar option in the interface.
4. Use the slider to select your desired enthusiasm level.
5. Save changes and start chatting!

This feature is available across OpenAI’s free and premium tiers, with optimization possibly varying based on use cases.

Conclusion: A Bridge to the Future of AI

With the ability to adjust ChatGPT’s enthusiasm level, OpenAI brings us a step closer to making AI interactions truly human-like. Whether you’re looking for a more professional tone, a friendly assistant, or just something in between, this personalization update opens exciting possibilities for users across industries.

As OpenAI continues to refine its tools, we could see more adaptive features that align with user preferences. What that future looks like will ultimately depend on how innovations like these are shaped by feedback and market trends.

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