Genie 3 can generate fully interactive, persistent worlds from just text, in real time.
In this episode, Google DeepMind’s Jack Parker-Holder (Research Scientist) and Shlomi Fruchter (Research Director) join Anjney Midha, Marco Mascorro, and Justine Moore of a16z, with host Erik Torenberg, to discuss how they built it, the breakthrough “special memory” feature, and the future of AI-powered gaming, robotics, and world models.
They share:
- How Genie 3 generates interactive environments in real time
- Why its “special memory” feature is such a breakthrough
- The evolution of generative models and emergent behaviors
- Instruction following, text adherence, and model comparisons
- Potential applications in gaming, robotics, simulation, and more
- What’s next: Genie 4, Genie 5, and the future of world models
This conversation offers a first-hand look at one of the most advanced world models ever created.
Timecodes:
0:00 Introduction & The Magic of Genie 3
0:41 Real-Time World Generation Breakthroughs
1:22 The Team’s Journey: From Genie 1 to Genie 3
5:03 Interactive Applications & Use Cases
8:03 Special Memory and World Consistency
12:29 Emergent Behaviors and Model Surprises
18:37 Instruction Following and Text Adherence
19:53 Comparing Genie 3 and Other Models
21:25 The Future of World Models & Modality Convergence
27:35 Downstream Applications and Open Questions
31:42 Robotics, Simulation, and Real-World Impact
39:33 Closing Thoughts & Philosophical Reflections
Resources:
Find Shlomi on X: https://x.com/shlomifruchter
Find Jack on X: https://x.com/jparkerholder
Find Anjney on X: https://x.com/anjneymidha
Find Justine on X: https://x.com/venturetwins
Find Marco on X: https://x.com/Mascobot
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