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Google Labs and DeepMind release Pomelli, an AI marketing tool that scans a company’s website to build a “Business DNA” profile and produce on-brand assets. The tool is now in public beta in English across the United States, Canada, Australia, and New Zealand. Pomelli captures tone, color palette, fonts, and visual style to keep copy and visuals consistent across social posts, ads, and sites. It also proposes campaign ideas and lets users edit text or images before downloading finished materials. Google positions Pomelli as a shortcut for small and midsize businesses that lack in-house creative teams, potentially cutting agency costs and production time. The company is treating the release as an early experiment and is actively soliciting user feedback to refine the product.
How to create conceptual ads with AI
Source: Aziz4ai Go to Gemini and select ‘NanoBanana’ as your model. Enter your prompt and hit enter. Sample Prompt: “Create a 1:1 minimalist conceptual advertisement for the brand: [BRAND]. Do not repeat the brand name in any part of the text or visual. Include: 1. A bold headline (max 6 words), 2. A short supporting subheadline (optional), 3. A symbolic, photorealistic visual that reflects the message, 4. The official logo of the brand, placed once at the bottom, 5. A short slogan (max 6 words) aligned with the brand’s tone Style: minimal, clever, high-resolution, cinematic lighting, strong negative space, professional layout.” In seconds, you’ll have a highly professional conceptual ad ready to preview. Make any final edits, then save it for your next campaign.
Google has launched CC, an experimental Gemini-powered assistant that emails users a “Your Day Ahead” summary drawn from Gmail, Drive, and Calendar. Users can also email CC at any time to add to-dos, store notes, or retrieve information. The trial is open only to AI Pro and Ultra subscribers in the U.S. and Canada who are at least 18 and use consumer Google accounts. Workspace accounts and customers in other regions are excluded for now. The assistant enters a field already served by Mindy, Read AI, Fireflies, and Huxe, which send similar briefs. Google’s version pulls directly from multiple first-party services, giving it broader context than those rivals, according to the article.
A loss of trust…-> Google is pushing back on viral social media posts and articles like this one by Malwarebytes, claiming Google has changed its policy to use your Gmail messages and attachments to train AI models, and the only way to opt out is by disabling “smart features” like spell checking.
Google Search VP Robby Stein says the company’s biggest AI advantage is using connected services like Gmail to tailor answers to each person. He calls the ability to “know you better” the core future of search and more useful than generic results. Gemini already mines emails, documents, photos, location history and browsing to feed features such as Gemini Deep Research and Workspace suggestions. Users can limit access through the “Connected Apps” setting, yet the privacy policy warns that human reviewers may read submitted data. TechCrunch warns that the line between personalized help and unwanted surveillance is narrowing as Google embeds AI deeper into every product. Stein plans to flag personalized responses and even push sale alerts, illustrating how escaping Google’s data collection will only become harder.
Google releases its Gemini 3 model and unveils Antigravity, an agent-based coding platform that can autonomously execute tasks on a user’s computer. The launch moves the conversation beyond text generation to AI that plans, codes, and coordinates work with human oversight. In real-world tests, Gemini 3 built a playable game from a single prompt and created a full website that summarized years of blog posts, all while routing approvals through an inbox interface. Antigravity reads local files, writes code, conducts web research, and even controls the browser to validate its output. The model also cleaned messy research data, devised fresh hypotheses, executed statistical analysis, and delivered a 14-page journal-style paper with minimal guidance. The author says managing Gemini 3 feels like supervising a capable graduate assistant rather than coaxing a chatbot.
Apple reportedly finalized plans to deploy a custom 1.2T parameter version of Google's Gemini model for its long-delayed Siri overhaul, according to Bloomberg — committing roughly $1B annually to license the technology.
The details:
Gemini will handle summarization and multi-step planning within Siri, running on Apple's Private Cloud Compute infrastructure to keep user info private.
Apple also trialed models from OpenAI and Anthropic, with the 1.2T parameter count far exceeding the 150B used in the current Apple Intelligence model.
Bloomberg said the partnership is “unlikely to be promoted publicly”, with Apple intending for Google to be a “behind-the-scenes” tech supplier.
The new Siri could arrive as soon as next Spring, with Apple planning to use Gemini as a stopgap while it builds its own capable internal model.Why it matters: After years of delays and uncertainty around Siri’s upgrade, Gemini is the model set to bring the voice assistant into the AI world (at least in some capacity). Apple views the move as temporary, but building its own solution, considering the company’s struggles and employee exodus, certainly doesn’t feel like a given.