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The future of simulation just arrived

Genie 3 from Google lets you step into AI-generated worlds in real time. Plus, get a complete course on how to build AI agents for free

Today, we’re going to talk about the recent launch of Genie 3 by Google and why its a huge breakthrough + MIT research finds that we can reinvent plastic.

In today’s post:

  • Google: Genie 3 is here

  • MIT is using AI to reinvent plastic

  • Plus: Free resources to master AI

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Breakthrough

Genie 3 changes the game for AI world models

Google DeepMind just introduced Genie 3, their most advanced world model yet.
It doesn’t just generate video. It generates reality simulated, immersive, and live.

Here’s everything you need to know:

  • Genie 3 can create full 3D environments from text prompts and you can move through them in real time, at 24 FPS and 720p.

  • These aren’t just pretty scenes. They're consistent, reactive spaces where agents or humans can act, explore, and learn.

  • Whether it’s navigating a lava field, flying through deep sea canyons, or walking ancient Athens, the environments respond to user input moment by moment.

  • Genie 3 remembers what it generates allowing it to maintain environmental coherence for minutes, even when revisiting past scenes.

  • Text prompts can trigger dynamic events, like storms, portals, or new creatures allowing rapid creation of counterfactual and “what-if” scenarios.

  • DeepMind is already testing it with SIMA, their generalist embodied agent, to pursue multi-step goals in open-ended environments.

  • Unlike NeRFs or Gaussian Splatting, Genie 3 doesn’t need a 3D scan it generates worlds frame-by-frame, using language as the source code.

Here’s what I think:

First of all… I’m shocked and delighted that some AI research company is doing all this. Genie 3 marks a shift from static media to dynamic simulation. It feels like a prototype for the next operating system not for computers, but for reality itself. The implications for learning, training, creativity, and research are massive. The real frontier now is how we’ll choose to use it.

Research

Stronger, tougher plastics discovered by machine learning

Researchers at MIT and Duke just found a smarter way to make plastics more durable. Instead of brute force, they used AI to find molecules that break better and that might just help reduce plastic waste.

Here’s everything you need to know:

  • The key is “mechanophores” molecules that respond to stress by changing form.

  • AI helped identify ferrocenes, iron-based compounds ideal for tear resistance.

  • Traditional tests took weeks, but a neural network scanned 12,000+ candidates fast.

  • The AI found a surprising insight: bulkier molecules break more helpfully.

  • A new polymer using one AI-picked ferrocene turned out 4× tougher than the standard.

  • Tougher plastics mean longer lifespans and less frequent manufacturing and waste.

  • The team now plans to explore AI-designed materials for drug delivery and smart sensors.

This is a glimpse of materials science powered by AI not just optimizing performance, but helping us rethink what durability means in a world drowning in plastic. Sometimes, breaking better is the path to building smarter.

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