Longer-form pieces on the model, the prompts, and the honest limits.

How to use a world model in early game design: testing level pacing, camera behaviour, and mechanic feel before committing engineering time — plus the cases where it will mislead you.

Why Google DeepMind leads with robotics when describing Genie 4: causal event simulation, procedural behaviour, and agent-in-the-loop experiments, plus the validation work you still have to do.

An honest account of Genie 4's documented limitations: drift, complex physics, audio accuracy, legible text, spatial precision, and consistency — with practical mitigations for each.

How to write prompts for Genie 4: the four elements that matter, templates you can copy, and the six mistakes that cost the most consistency in a generated world.

A capability-by-capability comparison of Genie 4 and Genie 3, including the specifications Google has not published for Genie 4 and why you should not assume Genie 3's numbers apply.

Genie 4 is Google DeepMind's real-time multimodal world model. This guide covers what it is, how the Gemini-based architecture works, what it can and cannot do, and why world models differ from video generators.