OpenAI Restructures Research Team Responsible for ChatGPT’s Personality Development

OpenAI Restructures Model Behavior Team to Enhance AI Interactions

In a significant shift, OpenAI is realigning its Model Behavior team, a crucial group that influences AI interactions, with its larger Post Training team.

Key Changes Announced by OpenAI’s Chief Research Officer

Mark Chen, OpenAI’s chief research officer, shared details in an August memo, revealing that the Model Behavior team, comprising about 14 researchers, will now integrate into the Post Training team. This larger group focuses on refining AI models post initial training.

Leadership Transition for the Model Behavior Team

The Model Behavior team will report to Max Schwarzer, the lead of OpenAI’s Post Training team. These changes have been confirmed by an OpenAI spokesperson.

Joanne Jang Takes on a New Role at OAI Labs

Joanne Jang, the founding leader of the Model Behavior team, is embarking on a new project within OpenAI. She will be establishing OAI Labs, a research initiative aimed at creating innovative interfaces for human-AI collaboration.

The Impact of the Model Behavior Team’s Research

This influential team has played a vital role in defining the personalities of OpenAI’s models, mitigating issues like sycophancy. They have also tackled political bias in AI responses and helped articulate OpenAI’s stance on AI consciousness.

Aligning AI Personality with Core Model Development

Chen emphasized the importance of integrating the Model Behavior team’s work into core model development, highlighting that the personality of AI is now a fundamental aspect of its evolution.

Facing Scrutiny and User Feedback

OpenAI has recently come under scrutiny due to user concerns about personality modifications in its models. Following feedback on GPT-5’s perceived coldness, the company reverted to some legacy models and released updates to improve the warmth of interactions without increasing sycophancy.

Legal Challenges and the Ethical Landscape

Navigating the fine line between friendly and sycophantic AI interactions is crucial, especially after a lawsuit was filed against OpenAI concerning a tragic incident linked to ChatGPT. This highlights the pressing need for responsible AI behavior.

The Role of the Model Behavior Team Across AI Versions

The Model Behavior team has contributed to every OpenAI model since GPT-4, including GPT-4o, GPT-4.5, and GPT-5, under Jang’s leadership, who previously worked on the Dall-E 2 project.

New Beginnings for Joanne Jang at OAI Labs

Jang will serve as the general manager of OAI Labs, continuing to report to Chen. Although the project’s direction is still unfolding, she is enthusiastic about exploring new research avenues.

Exploring Beyond Chat: Jang’s Vision for AI

Jang expressed her excitement about moving beyond traditional chat interfaces, envisioning AI as tools for creativity and connection rather than mere companions or agents.

Collaboration with Industry Innovators

While discussing potential collaborations, Jang indicated a willingness to explore partnerships, including with Jony Ive, former Apple design chief, who is now involved with OpenAI on AI hardware devices.

This article has been updated to include Jang’s announcement about her transition to OAI Labs and to clarify the models the Model Behavior team has developed.

Here are five FAQs about OpenAI’s reorganization of the research team behind ChatGPT’s personality:

FAQ 1: Why did OpenAI reorganize the research team behind ChatGPT’s personality?

Answer: The reorganization aims to enhance collaboration and streamline the development process, allowing for more focused research on improving ChatGPT’s conversational abilities and overall user experience. This restructuring is intended to better address user feedback and advance the technology in a more efficient manner.

FAQ 2: What impact will this reorganization have on ChatGPT’s future updates?

Answer: The reorganization is expected to accelerate the pace of innovation and updates. By bringing together experts with complementary skills, OpenAI aims to implement improvements and new features more quickly, ultimately leading to a more refined user interaction and expanded capabilities for ChatGPT.

FAQ 3: Will user feedback be more prominently incorporated into ChatGPT’s development after this change?

Answer: Yes, the restructured team places a higher emphasis on user feedback. OpenAI is committed to actively listening to users’ needs and incorporating their suggestions, which should lead to more relevant improvements and a better conversational experience in future updates.

FAQ 4: How does this reorganization affect the ethical considerations in ChatGPT’s development?

Answer: OpenAI remains dedicated to ethical AI development. The new structure includes increased focus on safety, fairness, and transparency, ensuring that ethical considerations are prioritized throughout the research process. This will help mitigate risks associated with AI behavior and biases.

FAQ 5: Can we expect new features or personality traits in ChatGPT as a result of this reorganization?

Answer: Yes, the reorganization aims to enhance the personality and conversational style of ChatGPT, allowing for the exploration of new features and personality traits. OpenAI is focusing on making interactions feel more natural and engaging, which may include a wider range of expressions and a more personalized experience for users.

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ChatGPT’s Model Selector Returns—And It’s More Complex Than Ever

Is GPT-5 the Unified AI Model We Expected?

Last week, OpenAI unveiled GPT-5, aiming to enhance the ChatGPT experience. The goal was to create a versatile AI model that would streamline user interactions by automatically curating the best responses. OpenAI hoped this approach would eliminate the cumbersome model selection process — a feature that CEO Sam Altman has criticized.

Reality Check: GPT-5 Falls Short of Expectations

Despite the initial excitement, GPT-5 has not fully lived up to its promise as a single, unified AI model.

New Features and User-Centric Options Introduced

On Tuesday, Altman shared in a post on X that users can now select between “Auto,” “Fast,” and “Thinking” modes on GPT-5. The Auto setting aims to function as the promised model router, while the Fast and Thinking options provide direct access to various response styles.

Legacy Models Make a Comeback

Along with the new modes in GPT-5, Altman announced that paid subscribers can again access several older models, including GPT-4o, GPT-4.1, and o3, which had been phased out just a week prior. GPT-4o is now set as the default in the model picker, while users can add other models through ChatGPT’s settings.

Future Improvements and User Customization

Altman mentioned on X that OpenAI is working on enhancing GPT-5’s personality to feel friendlier while avoiding the more polarizing aspects of GPT-4o. He acknowledged the need for improved user customization options regarding AI model personalities.

ChatGPT’s model picker now offers multiple options (Credit: openai/maxwell zeff)

Complexity Persists in ChatGPT’s Model Picker

Despite the introduction of GPT-5, ChatGPT’s model picker remains intricate, suggesting that the anticipated simplicity from GPT-5’s router has not materialized. Users had high hopes for GPT-5 to reach new heights like its predecessor, GPT-4, but the rollout has proven to be less than seamless.

User Backlash and Response from OpenAI

The removal of GPT-4o and other models led to a significant backlash from users who were attached to their distinct responses. Altman has promised to notify users well in advance before any future model deprecations.

Performance Issues and Team Iteration

Upon its launch, GPT-5’s model router experienced significant problems, contributing to perceptions of reduced performance compared to prior models. Altman addressed these concerns in a Reddit AMA. Despite challenges, OpenAI’s VP of ChatGPT, Nick Turley, emphasized the team’s commitment to rapid improvement.

Understanding User Preferences in AI Models

Routing prompts effectively requires aligning an AI model not just with user preferences but also specific inquiries. Some users might prioritize fast responses, while others value a more verbose style or unique perspectives.

The Emotional Connection to AI Models

The attachment users form with AI models is a newly emerging phenomenon, illustrating the complex relationships people can have with technology. For example, hundreds in San Francisco recently held a symbolic funeral for Anthropic’s Claude 3.5 Sonnet AI when it was retired. This illustrates the depth of interaction users have with AI, sometimes leading to fragile mental states.

OpenAI’s Path Forward

Moving forward, OpenAI recognizes the urgent need to better align AI models with individual user preferences. The journey toward achieving a truly intuitive AI experience continues.

Here are five FAQs regarding the ChatGPT’s model picker feature:

1. What is the model picker in ChatGPT?

Answer: The model picker allows users to select from multiple AI models, each optimized for different tasks and applications. This feature gives users the flexibility to choose the model that best meets their needs for generating text, answering questions, or engaging in conversation.

2. How do I choose a model using the picker?

Answer: To choose a model, simply click on the model picker interface where you’ll see a list of available models. You can review a brief description of each model’s capabilities and select the one that aligns with your requirements by clicking on it.

3. Are all models available to all users?

Answer: Not necessarily. The availability of models may depend on your subscription tier or user status. Some advanced models might be limited to premium users, while basic models are generally available to all.

4. What factors should I consider when selecting a model?

Answer: Consider the complexity of the task, response time, and the type of content you need. For example, some models may excel in creative writing, while others perform better in technical explanations or casual conversation.

5. Can I switch models during a session?

Answer: Yes, you can switch models at any time during your session. However, keep in mind that switching models may affect the context and coherence of the conversation, as each model may interpret prompts differently.

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