"The use of the term "Intelligence" is more aspirational than accurate. Machine learning models are not intelligent; they predict tokens based on training data and runtime resources. Perhaps "Personalized Predictions" would be insufficiently appealing and "Personalized Artificial Intelligence" would draw too much attention to the mechanized nature of chatbots that now attracts active opposition. Whatever the case, access to personal data comes with the potential for more personally relevant AI assistance."
"Woodward explains that Personal Intelligence can refer information from Google apps like Gmail, Photos, Search, and YouTube to the company's Gemini model. This may help the model respond to queries using personal or app-specific data within those applications. "Personal Intelligence has two core strengths: reasoning across complex sources and retrieving specific details from, say, an email or photo to answer your question," said Woodward. "It often combines these, working across text, photos and video to provide uniquely tailored answers.""
Google began inviting Gemini users to allow its chatbot to access Gmail, Photos, Search history, and YouTube data to provide more personalized responses. Personal Intelligence entered beta in the US and will roll out to US-based Google AI Pro and AI Ultra subscribers. The term "Intelligence" is described as aspirational, noting that machine learning models predict tokens based on training data and runtime resources. Access to personal app data enables the model to reference emails, photos, searches, and videos to answer queries and retrieve specific details. The capability can reason across complex sources and can extract information, such as a license plate from a photo, to provide tailored assistance.
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