Jack Rae

Jack Rae, Principal Research Scientist at Google DeepMind, shares insights on the revolutionary Gemini 2.5 model. He discusses the surge in efficacy of reasoning techniques and what this means for AI's journey towards artificial general intelligence. Rae dives into the interplay between human data and model behavior, the ethical challenges of reinforcement learning, and the nuances of AI reasoning. Listeners gain a unique perspective on the future of AI, exploring its potential applications and the hurdles that lie ahead in achieving true cognitive capabilities.

Noam Shazeer, co-inventor of the Transformer, and Jack Rae, Research Director at DeepMind, dive into the future of AI. They discuss the groundbreaking capabilities of Gemini 2.0 for reasoning and creativity. The duo explores the complexities of AI evaluation metrics and the evolving role of test-time compute, emphasizing efficiency over traditional methods. They also reflect on the philosophical challenges of AGI, the rise of vision-based models, and AI's transformative impact on healthcare and education, highlighting the balance between innovation and safety.

Jack Rae, Principal Scientist at Google DeepMind, shares insights on advancing reasoning models like Gemini. He discusses how increased 'thinking time' enhances model performance and the significance of long context in language modeling. Rae also highlights the evolution from gaming memory systems to real-world AI applications, emphasizing the need for developer feedback and user interaction. The conversation delves into practical uses, the future of AI reasoning, and innovative evaluation methods that reflect real-world scenarios.