Flow
Flow is a new AI-powered filmmaking tool developed by Google, specifically designed to help creatives explore and express their ideas in a cinematic way. Built for Google’s most advanced models like Veo, Imagen, and Gemini, Flow enables filmmakers to generate video clips, scenes, and characters effortlessly by using simple language prompts. With features like camera controls, scenebuilder for continuous shots, and asset management, Flow provides all the necessary tools to create high-quality, cinematic visuals. It's available through Google AI Pro and Google AI Ultra plans, offering different levels of access to video generation capabilities, including the ability to generate audio and visual elements.
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Gemini 2.0 Pro
Gemini 2.0 Pro is Google DeepMind's most advanced AI model, designed to excel in complex tasks such as coding and intricate problem-solving. Currently in its experimental phase, it features an extensive context window of two million tokens, enabling it to process and analyze vast amounts of information efficiently. A standout feature of Gemini 2.0 Pro is its seamless integration with external tools like Google Search and code execution environments, enhancing its ability to provide accurate and comprehensive responses. This model represents a significant advancement in AI capabilities, offering developers and users a powerful resource for tackling sophisticated challenges.
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Gemini 3 Deep Think
The most advanced model from Google DeepMind, Gemini 3, sets a new bar for model intelligence by delivering state-of-the-art reasoning and multimodal understanding across text, image, and video. It surpasses its predecessor on key AI benchmarks and excels at deeper problems such as scientific reasoning, complex coding, spatial logic, and visual-/video-based understanding. The new “Deep Think” mode pushes the boundaries even further, offering enhanced reasoning for very challenging tasks, outperforming Gemini 3 Pro on benchmarks like Humanity’s Last Exam and ARC-AGI. Gemini 3 is now available across Google’s ecosystem, enabling users to learn, build, and plan at new levels of sophistication. With context windows up to one million tokens, more granular media-processing options, and specialized configurations for tool use, the model brings better precision, depth, and flexibility for real-world workflows.
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SynthID
We’re beta launching SynthID, a tool for watermarking and identifying AI-generated images.
SynthID is being released to a limited number of Vertex AI customers using Imagen, one of our latest text-to-image models that uses input text to create photorealistic images.
With this tool, users can embed an imperceptible digital watermark into their AI-generated images and identify if Imagen was used for generating the image, or even part of the image.
Being able to identify AI-generated content is critical to promoting trust in information. While not a silver bullet for addressing the problem of misinformation, SynthID is an early and promising technical solution to this pressing AI safety issue.
This technology was developed by Google DeepMind and refined in partnership with Google Research. SynthID could be expanded for use across other AI models and we plan to integrate it into more products in the near future.
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