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Hi AI Futurists,
Google’s Project Genie generates interactive 3D worlds from text prompts. Users can manipulate objects, explore environments, and experiment with unusual ideas in real time. Let’s take a look.
Here’s our agenda.
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Top AI news
Google’s Genie in the Code
Top 3 selected AI tools
AI in the wild
AI Investment Report
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Lex Sokolin
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Top AI news
🌁 Silicon Valley, Now With More Soul-Searching — San Francisco’s AI boom is back, but this time everyone’s slightly uncomfortable.
📄 Resume Roulette in the Age of AI — Job hunting now means humans and algorithms ghosting each other at scale.
🤖 Not the Terminator for Tumors — AI helps spot patterns but doesn’t punch people out of their radiology gigs.
🏦 The Interns Never Sleep — Goldman lets autonomous AI chew through busywork while humans watch nervously.
🧩 Corporate Workflows Get a Mind of Their Own — Big brands quietly test AI agents so meetings can finally lose.
🛰️ Trust Issues, Now in Orbit — AI-powered satellites watch nukes so humans can argue safely on Earth.
⛷️ The Olympics, Now Optimized — AI tweaks cameras, feeds, and stats so you never blink.
🏈 The Super Bowl, Sponsored by Algorithms — AI wrote the ads, humans bought the snacks, nobody noticed.
🏙️ New York Hits the Data Center Snooze Button — Lawmakers flirt with a pause while AI keeps demanding more power.
📱 Meta Spins Up an AI Vibes Machine — Short videos, algorithmic moods, and zero idea who asked.


Google’s Genie in the Code
Google’s new AI experiment, Project Genie, lets anyone generate immersive 3D worlds with text prompts, effectively turning imagination into explorable spaces. Users can describe anything—from whimsical landscapes to realistic cityscapes—and watch the AI render it in real time. The project combines Google’s latest text-to-image and 3D AI models, creating “worlds” rather than static images. TechCrunch’s writer experimented with building castles made of marshmallows and found that the AI could interpret unusual concepts, giving them playful textures, lighting, and scale.
Project Genie isn’t just about visuals; it includes interactive elements. Objects in the scene can be clicked, rotated, and moved, blurring the line between game engines and generative AI. Google Research’s lead, David Ha, said, “We’re trying to make AI that doesn’t just produce content—it produces spaces you can inhabit, explore, and modify.” The platform is currently in a limited beta, but early tests highlight the potential for storytelling, design, and prototyping. The system still struggles with highly complex prompts or objects with intricate physics, but it adapts creatively to challenges.
The implications extend beyond art. For product designers, game developers, and even educators, these AI-generated worlds offer new ways to prototype ideas quickly. As humans, the capacity to externalize imagination into a manipulable space could redefine creativity and collaboration, pushing how we work, learn, and interact with digital tools.
Takeaways at a Glance:
Text-to-world AI generates 3D interactive spaces.
Users can move, rotate, and interact with objects.
Works best with clear prompts; struggles with highly complex physics.
Potential applications in design, games, education, and storytelling.
Early beta shows strong creative possibilities, with room for refinement.
What We Think About It:
This is a significant step in bridging AI and spatial creativity.
The interactive element sets it apart from traditional generative models.
Limitations are minor compared to the potential for prototyping and collaboration.
What You Can Do Right Now:
Play with your imagination: Use Project Genie (or any similar AI 3D tool) to create worlds from your favorite books, movies, or even your dream vacation spot. No coding needed—just type what you want to see.
Turn ideas into mini stories: Build scenes and snap screenshots to make your own illustrated stories or comics. You could even challenge friends to “guess the world” from your creations.
Decorate your digital space: Experiment with AI worlds for Zoom backgrounds, social media posts, or virtual meetups. Your meetings just got a lot more magical.

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AI In the Wild

AI Investment Report
This 158-page research report provides the first comprehensive taxonomy of public companies, private ventures, and tokenized protocols building the infrastructure for autonomous AI systems. Compiled by Lex Sokolin, former Chief Economist at ConsenSys, fintech strategist at Autonomous Research, and current Managing Partner at Generative Ventures, this report delivers institutional-grade analysis of 100+ companies across 14 critical infrastructure layers. Learn more here.

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