In this podcast, Bob McGrew, the former chief research officer at OpenAI, shares insights on the current landscape and future of AI. He challenges the idea that we’ve hit a wall in AI capabilities, pointing out that while progress may be slower, it continues due to the high computational power needed for breakthroughs. McGrew emphasizes the crucial role of test-time compute and highlights the exciting potential of multimodal models, especially in video, to shape future advancements. He also addresses the challenges of AI deployment in businesses, stressing the importance of reliable models and seamless integration with existing systems. Lastly, McGrew offers his thoughts on the anticipated emergence of AGI, suggesting that its arrival may be less dramatic than commonly believed, and reflects on his experience at OpenAI, touching on key decisions and the organization’s distinct culture.
