gen‑ai.news
← Back
Image

The Gemini app is bringing personalized image creation to more users.

Google is rolling out an expansion of its Personal Intelligence feature within the Gemini app, making personalized image creation available to more users. The feature works by connecting Gemini to a user's existing Google ecosystem - including Gmail, Google Photos, YouTube, and Search - to inform the content it generates. Crucially, this data access only happens with explicit user permission, and the intent is to produce outputs that reflect a person's real interests, memories, and context rather than generic prompts.

The practical appeal here is straightforward. When a generative image tool knows, for example, that a user recently took a trip to a particular location or has a consistent visual aesthetic across their photos, it can produce results that feel meaningfully personal rather than broadly approximate. This kind of grounding in real user data is a meaningful shift from the typical text-to-image experience, where results depend entirely on how well a user can describe what they want.

Google's Gemini app has been steadily building out its multimodal and personalization capabilities over recent months. Personal Intelligence represents one of the more ambitious directions in that effort - moving beyond a standalone AI assistant toward something that can act as a persistent, context-aware layer across Google's suite of products. The image creation angle is one part of a wider set of features under this umbrella, which also touches on summarization, recommendations, and other personalized outputs.

The expansion to more users suggests Google is gaining confidence in both the technical reliability and the privacy safeguards around this approach. Connecting a generative model to sensitive personal data like email and photos is not a trivial undertaking from a trust perspective, and the opt-in framing is central to how Google is positioning the feature. For users who do choose to enable it, the promise is an image creation experience that requires less effort to make feel relevant - one that already has some sense of who you are before you type a single word.

Enjoy this story? Get the next one in your inbox.

Twice a week: the most important stories in generative image and video AI, distilled into a 2-minute read.

Free. Unsubscribe any time. No spam, ever.

Your next read

No image
Image

Databricks’ former AI chief thinks he can cut AI’s power bill by 1,000x

Ali Ghodsi's successor at Databricks has launched a startup claiming its approach to AI inference can reduce energy consumption by a factor of 1,000. The company's first public demonstration, an image-generation system called Un-0, aims to show that its underlying technology can match the output of conventional AI systems at a fraction of the power cost. If the claims hold up under scrutiny, the implications for data center energy demand could be significant.

Image

Adobe Acquires AI Upscaling Specialists Topaz Labs

Adobe has announced the acquisition of Topaz Labs, a company widely respected among photographers and videographers for its AI-powered image and video enhancement tools. The deal brings capabilities like high-quality upscaling, noise reduction, and sharpening under Adobe's umbrella. Terms of the acquisition were not disclosed.

Image

Models Accuse Fashion Brand of Using AI to Recreate Them

Several models are accusing fashion retailer Rainbow Shops of using AI to generate digital lookalikes of them, reportedly around the same time their bookings with the brand came to a halt. The allegations raise pointed questions about consent, likeness rights, and the growing use of generative AI in commercial fashion photography. The case is drawing attention as one of the more concrete examples of AI image tools intersecting with labor disputes in the modeling industry.