Gemini is adding a feature that’s designed to feel more tailored to individual users. Once enabled, "Personal Intelligence" can pull context from across your Google ecosystem, including Gmail, Google Photos, Search and YouTube History, to gain specific insight that will shape its answers and recommendations. Personal Intelligence is available starting today in the US for Google AI Pro and Ultra subscribers. The feature is opt-in only and is off by default.<br /> Google<br /> Google says users will have the ability to control what apps Gemini pulls from and, in the future, which chats it uses Personal Intelligence for. The company says this new feature might still make some mistakes, such as “over-personalization” where it draws connections between unrelated thin [...]
After more than a month of rumors and feverish speculation — including Polymarket wagering on the release date — Google today unveiled Gemini 3, its newest proprietary frontier model family and th [...]
Enterprises can now harness the power of a large language model that's near that of the state-of-the-art Google’s Gemini 3 Pro, but at a fraction of the cost and with increased speed, thanks to [...]
Lest you thought Microsoft would have all the fun introducing new AI features for white collar enterprise work this week with its Copilot Cowork announcement yesterday, Google is here to take back the [...]
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automat [...]
For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning [...]
Today is one of the most important days on the tech calendar as Google kicked off its I/O developer event with its annual keynote. As ever, the company had many updates for a wide range of products to [...]
Some of the largest providers of large language models (LLMs) have sought to move beyond multimodal chatbots — extending their models out into "agents" that can actually take more actions [...]