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OpenAI's Project Lily: Contractors Review ChatGPT User Conversations for Improvement

Cryptelio Editorial Published 14 Sep 2026 · 18:00 UTC

OpenAI has launched an internal initiative known as Project Lily, hiring hundreds of contractors to review real user conversations with ChatGPT. This initiative aims to improve the chatbot's responses, particularly by addressing its tendencies toward excessive flattery and overly human-like behavior.

According to a report by 404 Media, contractors are sourced through platforms like Crossing Hurdles and Mercor, earning over $50 per hour for their work. User prompts are processed through a Privacy Filter model before being reviewed, intended to remove personally identifiable information. However, internal documents indicate that this filter is not foolproof, allowing sensitive details to potentially slip through.

OpenAI does provide users with the option to opt out of having their conversations used for model training, but this only applies to future interactions. Conversations that occurred prior to opting out remain accessible for review, raising significant privacy concerns for users who may be unaware that real people are evaluating their chats.

The scale of this initiative is noteworthy, as ChatGPT has over 900 million users who utilize the platform for various sensitive inquiries, from medical advice to emotional support. Previous scrutiny from regulators, including a temporary ban in Italy over privacy issues, highlights the ongoing challenges OpenAI faces regarding data practices.

As Project Lily unfolds, the implications for user privacy and trust remain critical, prompting users to review their settings and understand how their data may be utilized.

FAQ

What is Project Lily?

Project Lily is an internal initiative launched by OpenAI that involves hiring contractors to review real user conversations with ChatGPT in order to improve the chatbot's responses.

How are contractors selected for Project Lily?

Contractors are sourced through platforms like Crossing Hurdles and Mercor, and they earn over $50 per hour for their work reviewing user conversations.

What measures are in place to protect user privacy during this review process?

User prompts are processed through a Privacy Filter model intended to remove personally identifiable information before being reviewed by contractors. However, this filter is not foolproof.

Can users opt out of having their conversations reviewed?

Yes, OpenAI provides users with the option to opt out of having their conversations used for model training, but this only applies to future interactions. Previous conversations remain accessible for review.

What are the implications of Project Lily for user trust?

The initiative raises significant privacy concerns and implications for user trust, especially given the sensitive nature of inquiries made by users and the potential for sensitive information to be exposed.

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