Gemini, Google
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Google on Tuesday revealed new Android development tools, a new mobile AI architecture, and an expanded developer community. The announcements accompanied the unveiling of an AI Mode for Google Search at the Google I/O keynote in Mountain View, California.
Google’s Gemini Diffusion demo didn’t get much airtime at I/O, but its blazing speed—and potential for coding—has AI insiders speculating about a shift in the model wars.
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CNET on MSNWho the Heck Is Gonna Pay $250 for Google AI Ultra?For all of that, you'll pay a pretty penny. Google AI Ultra costs $250 a month (although the company is offering half off the first three months). Not ready to drop $3,000 a year on AI? Google is rebranding its existing AI Premium plan as Google AI Pro, which also offers new features. It stays at a modest $20 per year.
Google says the release version of 2.5 Flash is better at reasoning, coding, and multimodality, but it uses 20–30 percent fewer tokens than the preview version. This edition is now live in Vertex AI, AI Studio, and the Gemini app. It will be made the default model in early June.
Google’s AI models are learning to reason, wield agency, and build virtual models of the real world. The company’s AI lead, Demis Hassabis, says all this—and more—will be needed for true AGI.
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On Tuesday at Google I/O 2025, the company announced Deep Think, an “enhanced” reasoning mode for its flagship Gemini 2.5 Pro model. Deep Think allows the model to consider multiple answers to questions before responding, boosting its performance on certain benchmarks.
I wanted to test Gemini Advanced, ChatGPT, and Copilot Pro head-to-head to see which one helps you get answers faster and more accurately. These are the paid versions, all promising live web access, smarter context, and fewer hallucinations.
Gemini AI and others now have the ability to scour the video footage we keep in our apps: Here's why, what it's learning and how it may be able to help you.
Gemini 2.5 Flash plays the role of the default model in the Gemini chatbot now. It's supposed to be the fast, cost-efficient model for daily use. Google says it’s better than its predecessors, like Gemini 2.0 Flash, in terms of understanding images and text while still being much cheaper to run.