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Why it worked

The mechanics

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Analysis by ViralLoop — not written by the original author.

Google Cloud on AI · ViralLoop

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Google Cloud@googlecloud

We worked with industry leaders who share our vision of multi-agent systems to create Agent2Agent (A2A) protocol. A2A is compatible with MCP, giving your agents a common language to collaborate irrespective of framework or vendor they're built on→ t.co

Visual with text: Agent2Agent Protocol
A collaborative way to help agents communicate with each other .

337 likes17 repliesPosted Apr 9, 2025

View the original on X Written by Google Cloud. Captured Sep 4, 2026.

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33

Viral score

Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: corporate
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

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For those confused why the US state and Silicon Valley are having a meltdown on twitter today. China released multiple AI models that are 50x more efficient than the best American AI models and made them open source, ruining the AI market

Universal HIGH INCOME via checks issued by the Federal government is the best way to deal with unemployment caused by AI. AI/robotics will produce goods & services far in excess of the increase in the money supply, so there will not be inflation.

I am very excited about AI, but to go off-script for a minute: I built an app with Codex last week. It was very fun. Then I started asking it for ideas for new features and at least a couple of them were better than I was thinking of. I felt a little useless and it was sad.

Hi! I'm one of the prompt writers that worked on this ad. It's a lot harder than people think! Prompts that my team used include: -make it funny -make it epic AND funny -funnier!!! Please be nice to my team as many of them will be laid off/replaced by AI

More from Google Cloud

#GeminiEnterprise: the best of Google AI for every employee, for every workflow. We’ve put together the models, tools, APIs, and an agentic platform, and optimized them to provide excellent performance, quality, and cost—all on our AI infrastructure → t.co

Introducing Gemini Enterprise, a new platform that brings the best of Google AI to every employee, for every workflow. Gemini Enterprise works across all the tools and data you use every day to make workflows easier—giving you time back in your day ↓ t.co

Introducing Google Agentspace! It unlocks enterprise expertise for employees with agents that bring together Gemini’s advanced reasoning, Google-quality search, and enterprise data, regardless of where it’s hosted. Here are three ways Agentspace unlocks enterprise expertise ↓

Trillium: our sixth-generation and most performant TPU to date is GA for Google Cloud customers! We used Trillium TPUs to train the new Gemini 2.0, and now you can take advantage of the same powerful, efficient, and sustainable infrastructure → t.co

Veo: our most capable video generation model is now available on Vertex AI in private preview! Developed by @GoogleDeepMind, Veo generates high-quality videos based on text or image prompts in a range of cinematic & visual styles with exceptional speed → t.co

Today’s preview of text-to-live image capabilities makes Imagen even more powerful for enterprises! Now marketing and creative teams can generate animated images, such as gifs and more, from a text prompt → t.co #GoogleCloudNext