This week on The Information Bottleneck we're talking with Julian Togelius (
@togelius ) ๐ฅณ๐ฅณ๐ฅณ
Julian directs the Game Innovation Lab at NYU and co-founded For years he's worked on AI and games from both directions: using AI to generate game content and test games, and using games to actually measure what AI can do. Lately he's been digging into why LLMs that write code so well still fail badly at playing games, and what that gap tells us about spatial reasoning and learning in current models.
We'll get into game playing as a benchmark, procedural content generation, open-endedness, and where he thinks the AGI conversation goes wrong.
What should we ask him? Drop your questions in the comments