Viral ChatGPT prompt reveals risks of stored user data

The empty room trend

A new trend on social media involves users uploading an image of an empty gray room to ChatGPT. They then provide a specific instruction asking the chatbot to furnish that space with everything it knows about the user. This visual exercise serves as a way to see the accumulated data the AI has gathered over time.

While many people are participating in the trend for fun, the results have left some users feeling unsettled. The images generated by the AI act as a physical representation of a digital profile. Every object placed in the room by the chatbot reflects a specific piece of information the user once typed into the interface.

The trend gained significant traction after a popular crypto account on X urged its followers to try the prompt. By posting these images publicly, users may unknowingly be sharing their personal profiles with strangers. This highlights a major security concern regarding how much information is actually being retained by the model.

How AI memory works

OpenAI explains that ChatGPT memory functions in two primary ways to personalize the experience. First, there are saved memories which hold specific details like a user's name, personal preferences, and long-term goals. These are details the model keeps handy to provide more relevant responses across different sessions.

Second, Plus and Pro subscribers have access to chat history reference. This feature allows the model to draw on older conversations even if the specific details were never explicitly saved as a memory. This growing repository of information makes it harder for users to switch between different AI services because of the data lock-in effect.

Users have some control over this data through the Personalization settings. Within these settings, people can view, delete, or completely switch off the memory feature. Additionally, the platform offers a Temporary Chat mode which does not read from or update the existing memory bank.

Risks for crypto holders

For individuals in the cryptocurrency space, the risks of stored data are more than just social awkwardness. Earlier this year, developers discovered that crypto wallet data in Claude chats had been indexed by Google through shared links. This shows how easily sensitive financial information can leak into the wider internet.

A profile that includes details about crypto holdings, specific exchanges, or travel plans provides a roadmap for scammers. Attackers can use this information to write much more convincing phishing messages. If a scammer knows where you hold your assets or where you plan to go, they can craft a lie that feels incredibly personal and legitimate.

Binance founder Changpeng Zhao has noted that the primary danger of AI is not breaking encryption. Instead, he argues that the real threat lies in phishing and the leaking of personal data. The viral room prompt serves as a visual example of what an attacker might learn about a target's life and habits.

Security and regulation

Some members of the crypto community are taking proactive steps to protect their privacy from AI models. Ethereum co-founder Vitalik Buterin has even built a paranoid mode for AI. This tool is designed to mask prompts before they reach the model to ensure that sensitive information is never stored in the first place.

While individual users can choose to use privacy tools, regulators are also looking at the consequences of mishandled data. There is a growing focus on the costs associated with data privacy failures. These legal pressures are intended to force companies to be more transparent and secure about the information they collect.

A recent example of this regulatory pressure occurred in New Mexico. A judge ordered Meta to pay a record $25 billion penalty because of how the company handled user data. As AI memory features become more sophisticated, these types of checks may become a routine part of how the public interacts with AI firms.