Julian Togelius

Julian Togelius, an NYU Associate Professor and co-founder of model.ai, teams up with Ken Stanley from OpenAI, who leads research on open-endedness. The duo dives into the intersection of AI and games, emphasizing how games serve as a testing ground for AGI. They discuss the need for diversity in AI, tackling challenges in integrating different learning approaches. The conversation also touches on the balance between creativity and technology, and the philosophical debates shaping AI's future.

Julian Togelius, an Associate Professor at NYU and co-director of the Game Innovation Lab, dives into the exciting world of AI in gaming. He discusses how video games serve as a testing ground for AI techniques and the evolution of intelligent behaviors in NPCs. Togelius highlights the significance of procedural content generation and its role in enhancing AI capabilities. He also shares insights on unconventional research paths, training AI in racing games, and the intricacies of neural networks, all while driving innovation in game design.

Christoffer Holmgård, CTO of modl.ai, and Julian Togelius, professor and co-founder, explore how generative AI is revolutionizing game QA. They discuss the shift to black-box testing through screen-seeing AI agents, allowing for no-code automation that frees testers from traditional coding. The duo highlights how this technology enhances bug detection and leverages multimodal models for better game feedback. They also delve into the evolving roles of human testers, emphasizing that AI is not a replacement, but an augmentation, streamlining the QA process.