Google's Crazy Week

Hi everyone,

In this Sunday post, I want to summarize Google’s releases this week and their initial reactions. Google shipped 3 main products:

• Gemini 3

• Nano Banana Pro

• Antigravity

All of them were big drops! Let’s get right into it.

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In this issue:

• 🤝 In Partnership: Billboards that work like paid ads

• 🤿Deep Dive: Gemini 3

• 🤝 Powered by: AI that predicts your ad success

• 🤿Deep Dive: Nano Banana

• 🤝 Supported by: Target streaming ads that convert

• 🤿Deep Dive: Google Antigravity

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🤿 DEEP DIVE

Gemini 3

Intelligence: Early reviewers say Gemini 3 may now be the top general-purpose AI model, with Google suddenly overtaking OpenAI on reasoning, coding, and real-world productivity features.

• “Best model yet”: Early users and pundits praise Gemini 3 as possibly the top AI model now, even surpassing OpenAI’s latest GPT updates, with many noting Google may finally be leading the pack in AI quality.

• Instantly everywhere: From day one, Gemini 3’s smarts are baked into Google’s products, it powers AI Mode in Search, writes in Gmail/Docs, helps in Android, and more, bringing advanced AI help to everyday work without extra apps.

• Agentic productivity: A new Gemini Agent can autonomously handle multi-step tasks (think sorting your inbox or booking travel) by chaining tools, inching closer to Google’s vision of a “universal assistant” beyond simple chat.

• Enterprise intrigue (with caution): IT leaders are intrigued by Gemini’s potential to accelerate coding, data analysis, and customer support, but they warn against “chasing shiny tech” , advising businesses to pilot Gemini 3 thoughtfully before wide deployment.

• Raising the competitive bar: By rolling out Gemini 3 broadly (at no added cost for many users), Google pressures rivals like OpenAI (ChatGPT) and Microsoft (Copilot) , effectively offering a GPT-4/5-level AI assistant as a built-in feature, which could erode the appeal of paid standalone AI tools.

Source: Reuters, Information Week

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🤿 DEEP DIVE

Nano Banana Pro

Intelligence: Google’s new image model is shocking early testers with near-perfect visuals and readable text, outperforming OpenAI and Midjourney on practical, work-grade image generation.

• “Bonkers” visual quality: Early users report that Nano Banana Pro produces complex visuals (think text-heavy infographics, UI mockups, multi-step diagrams) with uncanny accuracy, no gibberish text or layout fails, prompting one developer to call the results “absolutely bonkers”

• Enterprise-grade creativity: This model isn’t just for pretty pictures, it’s built for business. It can generate 4K images with consistent branding and legible text, and even auto-translate that text for different locales, letting global marketing teams create localized ads and materials in one go

• Outperforming the competition: In tests, Nano Banana Pro is already outranking other image AIs, it scored higher in visual quality and text rendering than OpenAI’s newest GPT-Image.

• Practical uses explode: Early adopters have put Nano Banana Pro to work in real scenarios – from doctors generating medical illustrations, to educators making visual explainers, to developers feeding it into Antigravity for on-the-fly UI design.

• Free to try, pay to scale: Google has made Nano Banana Pro immediately available in the Gemini app for anyone to experiment (free users’ images carry a subtle watermark). Business users on paid plans get higher usage limits and no watermarks

Source: VentureBeat, SilliconAngle

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🤿 DEEP DIVE

Google Antigravity

Intelligence: Google’s new AI-powered IDE is beating Copilot and Cursor in early tests, using multi-agent workflows and huge context windows to ship features faster with fewer bugs.

• VS Code, but supercharged: Antigravity is built on open-source VS Code, so developers get a familiar UI and plugin support – but it adds an “Agent Manager” view where you can deploy multiple AI agents to tackle coding tasks in parallel (one agent might optimize performance while another fixes bugs)

• Context galore: Powered by Gemini 3, Antigravity can understand massive codebases at once , over a million tokens, meaning it can read and refactor entire monorepos without breaking a sweat. (By comparison, today’s Copilot or ChatGPT often can’t even load all your files at once.)

• Faster, smarter coding: In early tests, Google’s IDE outperformed the competition – completing complex coding tasks significantly faster than Cursor. It handled a 100K+ line refactoring 40% faster, boosting accuracy from ~78% to 94%, and introduced far fewer bugs along the way.

• Free-tier disruption: Antigravity is free (for now) for individual devs, with only heavy users or teams paying for extra compute, a sharp contrast to GitHub Copilot’s subscription. Google is clearly aiming to drive adoption, and even enterprise plans come with perks like custom Gemini model fine-tuning and full compliance (SOC 2, ISO27001, FedRAMP) from day one.

• A new contender in the coding arena: By tightly integrating cloud services and letting AI agents act as “co-workers” in your IDE, Antigravity raises the bar for AI coding tools. Some in the community are already saying it “killed Cursor” by delivering superior performance and value.

Source: APIDog, Google

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