Jack Parker-Holder

Join Jack Parker-Holder, a research scientist specializing in generative models, and Shlomi Fruchter, a research director focusing on AI in gaming, as they dive into the groundbreaking Genie 3. They discuss how this model creates fully interactive worlds from text in real-time and its revolutionary 'special memory' feature. The duo explores the evolution of generative models, the potential in gaming and robotics, and the future advancements, including Genie 4 and 5. Their insights make for an exhilarating glimpse into the future of AI-powered experiences.

Shlomi Fruchter, a Research Director at Google DeepMind, and Jack Parker Holder, a research scientist on the open-endedness team, unveil Genie 3, a revolutionary AI that creates immersive 3D worlds from text prompts. This groundbreaking model can generate environments in seconds, showcasing remarkable consistency in interactions. They discuss the evolution from Genie 2 to Genie 3, emphasizing improvements in memory and human interaction. The hosts dive into the potential applications for game design and robotics, hinting at a future where AI can simulate complex environments with ease.

In this engaging discussion, Jack Parker-Holder and Shlomi Fruchter, both researchers at Google DeepMind, dive into Genie 3, a groundbreaking model that creates playable virtual worlds. They explore the evolution of world models in AI, emphasizing their importance for decision-making and planning. The duo sheds light on Genie 3’s real-time interactivity, visual memory capabilities, and the challenges faced in its development. They also touch on the innovative concept of promptability, showcasing how the model can dynamically manipulate virtual environments, paving the way for exciting applications.

In this fascinating discussion, Jack Parker-Holder, a Research Scientist at Google DeepMind, and Shlomi Fruchter, a Research Director, unveil Genie 3, a groundbreaking world model that creates interactive environments from text prompts. They explore how this model surpasses traditional video generation by enabling engaging, dynamic simulations. Topics include the implications for education and training, the evolution of AI models, and the physics understanding in simulations. Their insights reveal the exciting potential of AI to drive immersive experiences and enhance human interactions.

Jack Parker-Holder recently joined DeepMind after his Ph.D. with Stephen Roberts at Oxford. Jack is interested in using reinforcement learning to train generally capable agents, especially via an open-ended learning process where environments can adapt to constantly challenge the agent's capabilities. Before doing his Ph.D., Jack worked for 7 years in finance at JP Morgan. In this episode, we chat about open-endedness, evolving agents and environments, online adaptation, offline learning with world models, and much more.