How Google DeepMind Uses Games to Build Smarter AI Agents
Google DeepMind’s Alexandre Moufarek (Director, Inception team) says games are still the best training ground for AI. The simple version: What is SIMA 2? An agent that looks at the screen and uses a normal keyboard and mouse, like a player Needs no game code or special APIs Powered by Gemini, so it
Google DeepMind’s Alexandre Moufarek (Director, Inception team) says games are still the best training ground for AI. The simple version:
An agent that looks at the screen and uses a normal keyboard and mouse, like a player Needs no game code or special APIs Powered by Gemini, so it can reason, explain its plan and chat
Starts from human gameplay videos Then practises alone, with Gemini giving feedback Understands sketches, emojis and other languages
Task success rose from 31% to 65% It handled worlds generated by Genie 3 that it had never seen Game uses: smarter NPCs, AI companions, automated QA testing Next: an offline EVE Online sandbox to study memory and long-term planning
Limits: still research. It struggles with long multi-step tasks and has short memory.
🖼️ Chart comparing SIMA 1, SIMA 2 and humans on task success: https://lh3.googleusercontent.com/KwuGClFlsydWIS2azo2WjBWkMY-Hm3geOZAad00wP-CMtmWQa8DlpmqOMvXC6QKiPnEUBgtToVWnJ9rzz0O7dTcaVFhYOSggEugNVJBWVgc1hegDfg=w1440 (Image: Google DeepMind) 🎥 Official intro video: https://www.youtube.com/watch?v=Zphax4f6Rls
Google DeepMind – SIMA 2 (SIMA Team) Google DeepMind – From Atari to EVE Online (Alexandre Moufarek & Adrian Bolton) AI Magazine – reference article Decrypt – SIMA 2 coverage (31% vs 65% figures) MIT Technology Review – SIMA 2 and Gemini Image and video: Google DeepMind