Google is stepping up its AI game with the upcoming launch of Deep Think, a new model that’s already stirring excitement behind the scenes. While you won’t see it in action just yet, early tests hint at promising improvements—processing around ten prompts in five minutes, even if you might have to wait a bit longer than before. Early indications suggest that Deep Think’s answers could outshine those of the earlier Kingfall model, raising optimism that this could mark a major milestone in Google’s AI journey.
In the coming weeks, you can expect Deep Think to make its public debut on the Gemini platform. Alongside this, a feature called Agent Mode is in the works. Designed for autonomous exploration, planning, and execution (symbolised by an infinity icon), this feature might soon make it easier to handle complex tasks automatically, thanks to the Google A2A agent framework.
This roll-out also clears up previous questions about Gemini 3 and its connection to Kingfall. With Deep Think on the brink of release, it now appears that Kingfall and Deep Think are essentially one and the same. Trusted sources even suggest that Deep Think might hit the public stage as early as next week.
The Gemini ecosystem is evolving fast with new features like Bespoke, which promises a more personalised user experience by adapting outputs based on your history and preferences. While rumors have floated about a potential storybook feature, the current layout of Bespoke makes that unlikely. Another exciting addition, Learning Mode, is aimed at students—offering study assistance that could well remind you of ChatGPT’s Study Together feature.
Google’s latest initiatives showcase its commitment to making AI more intuitive and user-friendly. If you’ve ever felt overwhelmed by tech updates, you’re not alone; these enhancements are designed to make your interaction with AI smoother and more tailored to your needs. As Deep Think prepares to emerge, keep an eye out for Bespoke, Learning Mode, and Agent Mode, which are still in the pipeline but hint at a more dynamic future for AI.
