OpenAI has introduced a new trait assignment feature for ChatGPT, allowing users to personalise its tone and style.,Users can specify a nickname, profession, and personality traits like “Chatty,” “Encouraging,” or “Gen Z.”,This feature does not affect ChatGPT’s memory, which separately retains or forgets past interactions.,The update is currently rolling out on ChatGPT.com and Windows, with mobile and MacOS versions coming soon.,While this enhances customisation, it still relies on prompt engineering, meaning it doesn’t deeply change how the AI works.,OpenAI moderates trait usage to prevent misuse and ensure compliance with its terms of service.
OpenAI’s New ChatGPT Update: Custom Traits for a Personalised Experience
OpenAI has launched a new customisation feature for ChatGPT, giving users the ability to assign personality traits to the AI. This update aims to enhance how users interact with ChatGPT, making conversations feel more natural and tailored to individual preferences.
Instead of a one-size-fits-all AI assistant, users can now adjust ChatGPT’s tone, engagement style, and personality to better match their needs—whether for professional tasks, casual conversation, or content creation.
How It Works: Assigning Traits to ChatGPT
Users now have greater control over ChatGPT’s persona by specifying:
Preferred Name/Nickname – ChatGPT will refer to users by their chosen name.,Profession – Users can provide their job title or field for more relevant responses.,Traits – Users can choose from a variety of styles, such as:
- Chatty – More conversational and engaging.,Encouraging – Supportive and motivational.,Gen Z – A more informal, youthful style.,Skeptical – More critical and questioning in responses.,Analytical – Ideal for professional or logical discussions.,Creative – A better fit for brainstorming and ideation.,Concise – Focused on summarised, to-the-point replies.,Empathetic – Suitable for more sensitive topics.
This feature is separate from ChatGPT’s memory, meaning it doesn’t remember details across different conversations but instead modifies responses in real time based on user input.
Is This a Deep AI Upgrade or a Simple UI Change?
Despite the buzz, this is not a fundamental change to ChatGPT’s underlying model. The feature relies on prompt engineering, meaning it adjusts responses rather than truly altering how the AI thinks or operates. For instance, while this feature customises interaction, other tools like Claude brings memory to teams at work focus on persistent conversational memory.
In essence, it’s a user-friendly way to tweak ChatGPT’s style using preset prompts rather than requiring users to manually provide detailed instructions. This is similar to how users might learn How To Teach ChatGPT Your Writing Style for specific outputs.
Moderation Considerations
To prevent misuse or inappropriate modifications, OpenAI moderates the customisation options to ensure they align with its terms of service. While users can tailor ChatGPT’s personality, it won’t allow for harmful or misleading persona adjustments. This reflects broader discussions around AI ethics and governance, especially in regions like Taiwan’s AI Law Is Quietly Redefining What “Responsible Innovation” Means.
What’s Next? Expansion to More Platforms
The trait assignment feature is currently rolling out to:
ChatGPT.com,Windows desktop app
Coming soon: The update will be available on MacOS and mobile apps in the next few weeks.
However, users in the EU, Norway, Iceland, Liechtenstein, and Switzerland won’t have immediate access due to regulatory considerations.
Potential Impacts: A Step Towards More Personalised AI?
This update marks a shift towards making AI interactions feel more human-like and relatable. It’s particularly useful for:
Businesses and professionals – More tailored, industry-specific AI interactions.,Casual users – A more engaging and fun conversation experience.,Content creators – An AI that aligns better with their preferred tone and style.
That said, it also raises questions about how personality traits might impact AI reliability, especially when it comes to factual accuracy and biases in different roles. These concerns are part of a larger conversation about We Need Empathy and Trust in the World of AI.
Final Thoughts
OpenAI’s new trait assignment feature is a welcome addition for users looking for a more personalised ChatGPT experience. While it doesn’t represent a deep technical shift, it streamlines customisation and could pave the way for even more user control over AI interactions in the future.
For now, the biggest takeaway is that ChatGPT can sound more like the assistant you want it to be—whether that’s chatty, analytical, or even a little bit Gen Z.
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Latest Comments (5)
I was talking to a colleague last week about how this trait feature could help with our elderly care AI. Imagine if the AI could be "encouraging" but only to a certain degree, you know? Like, gently nudging someone to take their medication, not being overly pushy. It's a delicate balance with our users, and I wonder how OpenAI's moderation handles those nuances.
The "Gen Z" trait is interesting. How much of this is truly about "personality" versus just mimicking contemporary communication styles? There's a media studies angle there.
This is really cool for our local AI community here in Cebu! Imagine how this could help new users at our meetups. Giving ChatGPT a "Chatty" or even "Encouraging" trait could make it so much less intimidating, especially when people are just starting out with prompt engineering. I can see us having a session just on how these traits can personalize the learning experience. It's not just about the tech, it's about making it accessible and fun for everyone, and these traits definitely help with that.
we’ve been doing similar internal trait assignments for our tutor bots for a while now. giving them a "patient" or "inquisitive" trait really does shift the user experience more than you'd expect, esp for younger students. good to see openai rolling this out more broadly, kinda validates our approach.
this is interesting for personal use, but i still remember the headache we had trying to get our internal AI approved with any kind of "personality." our compliance team nearly had a collective meltdown over "encouraging" as a trait. how do other companies even begin to roll something like this out enterprise-wide?
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