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Google Cloud is quietly flooding the zone while everyone’s watching the big name AI deals, Google is doubling down on capturing the “next-gen” AI stars. It’s offering startups generous cloud credits, deep tech access, and “no-compromise” infrastructure, all to lock in loyalty before rivals even notice. With nine out of ten top AI labs already using its stack, and aggressive deals to embed TPUs across clouds, Google is playing both kingmaker and competitor. Will this quiet blitz upend the AI infrastructure chessboard? The next few quarters could tell.

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Today’s AI Menu

▪️ Alibaba + Nvidia’s physical AI, Tencent’s Parallel thinking, OpenAI’s compute hunger, Meta’s GAIA-2 evolution & more

▪️ Tutorial: How do I make animated videos from text using Pika Labs?

▪️ 5 new AI tools to boost your productivity

▪️ AI Special Edition: Android + PC - Google’s biggest move yet

▪️ AI Daily Prompt

TODAY IN WORLD OF AI

Y Combinator’s “Early Decision” for students

Big news from Y Combinator (YC): they’ve launched an “Early Decision” option aimed at students who want to finish school first, and build later.

Traditionally, YC has been a launchpad for dropouts and founders who couldn’t wait to dive into startups. But this move acknowledges a growing reality: not every great founder wants or can afford to leave university behind. With Early Decision, students can apply while still in school, get accepted, and defer their start until after graduation.

Why does this matter? Because it reshapes the “startup vs. school” debate. YC is betting that ambition doesn’t always mean rushing sometimes it’s about timing. By removing the pressure to choose now or never, they’re broadening the funnel for diverse founders who value both education and entrepreneurship.

It’s also strategic: YC is locking in top student talent early, while giving them the psychological safety net to focus on studies before going all-in. Imagine the creativity unleashed when brilliant grads step into YC already backed with validation, mentorship, and resources.

This could be a quiet but game-changing shift in how future founders emerge.

THE AI INSTITUTE

How do I make animated videos from text using Pika Labs❓

▪️ Log in with Pika Labs.

▪️ Type a text prompt (e.g., “robot walking in neon city”).

▪️ Choose motion style (realistic, anime, 3D).

▪️ AI generates video instantly.

▪️ Save or share.

FOOD FOR PRODUCTIVITY

5 tools for your productivity

🎯 Dzine AI (Background Remover): One-click AI tool to erase and replace image backgrounds.

✨ Fotor (AI Photo Editor): Edit, enhance & retouch photos automatically with AI magic.

🔗 Automations.io: No-code automation platform to link apps & streamline workflows.

🤖 ManyChat AI: AI-powered chat automations & flow generation for social & messaging bots.

📈 SurgeGraph: AI & SEO tool that helps write content that ranks, with SERP analysis built in.

Tool Video of the Day!

EVERYTHING ELSE YOU NEED TO KNOW

🤝 Forge: Alibaba and Nvidia have joined forces to infuse Alibaba Cloud with Nvidia’s “physical AI” toolkit, think robotics, autonomous systems, and smart factories now getting arms under the hood. This partnership signals a shift: cloud isn’t just about data and compute, it’s now about moving, sensing, and interacting in the physical world.

🧠 Synergy: Tencent’s AI team has introduced a Parallel-R1 training framework that nudges language models toward “parallel thinking” simultaneously exploring multiple lines of reasoning instead of a single chain. The result? Big boosts in mathematics benchmarks (up to +8.4 %) and more strategic flexibility in model reasoning. This could upend how we define “thinking” in AI.

💾 Hunger: Why does OpenAI need six giant data centers? Because demand is ravenous and compute is the new currency. They’re hitting capacity limits daily, throttling user access, and forcing expansion just to keep up. The race for scale is now a battle for survival in AI.

🌍 Evolve: Meta’s GAIA-2 is pushing agent design beyond mere accuracy or user approval, it’s testing on real-world robustness, forcing models to adapt, generalize, and survive messy environments. By simulating richer, dynamic worlds, GAIA-2 bridges the gap between synthetic benchmarks and messy reality forcing AI to “grow up.”

AI SPECIAL EDITION

🤝 Qualcomm CEO teases Google’s Android-PC merger

At Qualcomm’s Snapdragon Summit, CEO Cristiano Amon dropped a bold teaser: he’s already seen Google’s Android-ChromeOS merger for PCs, and called it “incredible.”

For years, the dream of convergence, one platform across phones, laptops, and desktops has been more hype than reality. But Google and Qualcomm are now building a common technical foundation to run Gemini AI, Android apps, and the entire developer ecosystem directly on PCs. Think of it as Android’s grand entrance into traditional computing.

The implications? Massive. If Google pulls this off, developers no longer need to choose between optimizing for mobile or desktop apps, tools, and AI services could scale seamlessly across both. For users, this means an ecosystem where your phone, laptop, and work machine finally speak the same language.

It also raises the stakes for Microsoft and Apple. A true Android-PC hybrid could threaten Windows’ dominance and challenge Apple’s tightly integrated macOS/iOS strategy. Qualcomm’s next-gen Snapdragon chips, optimized for AI and battery efficiency, might be the missing piece.

Convergence has long been tech’s white whale. Now, Google seems closer than ever to harpooning it.

AI PROMPT OF THE DAY

📱 Content pillars for startup’s social media

Prompt: Generate 5-7 clear and engaging content pillars for my startup’s social media strategy. Focus on building brand authority, educating the audience, driving engagement, showcasing customer stories, and promoting our product or service. Make sure the pillars align with early-stage startup growth goals and are easy to scale.

Helpful? Check out our best AI prompts!

Thanks for reading.

Until tomorrow!

Shinky & the Hanoomaan AI team