Gemini’s Personal Intelligence Uses Google Data to Personalise Images

Google Gemini, the innovative platform that allows users to generate personalized images, has introduced a new feature called “Personal Intelligence.” This feature, available to AI Pro and AI Ultra subscribers, utilizes data from various sources such as Google Photos, Gmail, YouTube history, and search data to create customized imagery based on individual preferences and lifestyle.

By leveraging the Nano Banana 2 image model, Google Gemini can now pull context from these sources to create unique images in response to prompts like “Design my dream house” or “Create a picture of my desert island essentials.” Additionally, the system can use tags in Google Photos to identify people or pets, ensuring that the generated images accurately reflect the intended subject without the need for manual photo uploads.

Users have the ability to provide feedback on the generated images, manually select reference images, and view the image sources used by the model. Google emphasizes that the integration of personal data into Gemini is an opt-in experience, allowing users to adjust their settings at any time to control the level of data sharing.

Addressing privacy concerns, Google reassures users that the Gemini app does not directly train its models on private Google Photos libraries. Instead, the models are trained on limited information, focusing on specific prompts within the Gemini app and the model’s responses.

Currently, the Personal Intelligence feature is exclusive to AI Pro and AI Ultra subscribers, with subscription costs varying by region. In the UK, an AI Pro subscription is priced at £18.99 per month, while an AI Ultra subscription costs £234.99 per month. In the US, the respective prices are $19.99 and $249.99 per month, with a half-price promotion available at the time of writing.

For those interested in exploring the capabilities of Google Gemini’s Personal Intelligence feature, further information and insights can be found in the Gemini app. The platform continues to push boundaries in AI-driven image generation, offering users a unique and personalized experience.

This article was originally published on M3, a sister publication, and has been translated and adapted from Swedish for wider audiences.