Introducing Personal Intelligence in Gemini

The introduction of a personalisation feature for Gemini allows users to connect Google apps with a single tap, enhancing its ability to assist users in navigating their world. This beta launch in the U.S. represents a step towards making Gemini more personal, proactive, and powerful.

Plus, personal Intelligence enhances Gemini by securely linking apps like Gmail, Google Photos, YouTube, and Search, providing a streamlined and powerful experience controlled by the user. The setup process is designed to be both simple and secure.

People's Utilisation

Personal Intelligence excels in two main areas: reasoning through complex sources and retrieving specific information from various media types, such as emails and photos, to provide customised responses.

Notably, daily tasks improved with Personal Intelligence, exemplified by Gemini's assistance in acquiring new tyres for a 2019 Honda minivan. It correctly identified tyre size, suggested options for various driving conditions, and provided ratings and prices.

At the shop, Gemini also retrieved the minivan’s license plate from a photo and determined its trim level using Gmail data.

The system made recommendations for books, shows, clothing, and travel. For spring break, it tailored suggestions based on family interests and past trips, avoiding tourist traps, and proposed an overnight train journey along with suitable board games.

Functionality & Privacy

Personal Intelligence prioritises privacy, with app connectivity being off by default. Users control which apps to connect to and can disable them at any time. When enabled, Gemini utilises Google-stored data to fulfil specific requests without needing to transfer sensitive information, marking a significant advantage.

Gemini provides sources for its answers, allowing users to verify information. Users can ask for more details if needed and correct responses in real time.

Additionally, it offers options to regenerate responses and engage in temporary chats without personalisation. Gemini avoids making assumptions about sensitive data, such as health, but will discuss it if prompted by the user.

Likewise, Gemini aims to enhance user experience while ensuring data security and control. The system is designed with privacy considerations, training only on limited information such as specific prompts and model responses, rather than directly accessing Gmail inboxes or Google Photos.

In the minivan example, personal data such as photos and emails are not used to train the model but are referenced for responses. The training involves specific prompts and responses with personal data filtered out. The objective is not to memorise details like a license plate number but to enable the system to find it when requested.

User Feedback

Gemini's Beta testing of Personal Intelligence reveals some inaccuracies, including potential "over-personalisation," where unrelated topics may be incorrectly linked. Users may experience issues with timing and nuance, especially concerning personal relationships and interests.

For instance, viewing many golf course photos could lead the model to incorrectly assume a love for golf, missing the nuanced reason behind the activity.

Besides, Gemini encourages feedback through negative ratings if inaccuracies occur. Active research and improvement are ongoing in these areas.

Access Guide

Access to the new Google AI feature is being rolled out over the next week to eligible Google AI Pro and AI Ultra subscribers in the U.S. It will function across Web, Android, and iOS platforms, utilising all models available in the Gemini model picker.

Initially limited to this group for feedback purposes, the rollout will eventually include more countries and the free tier, as well as AI Mode in Search. This beta feature is exclusively available for personal Google accounts, not for Workspace users.

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