20VC: Cohere's Chief AI Officer on Why Scaling Laws Will Continue | Whether You Can Buy Success in AI with Talent Acquisitions | The Future of Synthetic Data & What It Means for Models | Why AI Coding is Akin to Image Generation in 2015 with Joelle Pineau

<p dir="ltr">Joelle Pineau is the Chief AI Officer at Cohere, where she leads research on advancing large language models and practical AI systems. Before joining Cohere, she was VP of AI Research at Meta, where she founded and led Meta AI's Montreal lab. A professor at McGill University, Joelle is renowned for her pioneering work in reinforcement learning, robotics, and responsible AI development.</p> <p dir="ltr">AGENDA: </p> <p dir="ltr">00:00 Introduction to AI Scaling Laws</p> <p dir="ltr">03:00 How Meta Shaped How I Think About AI Research</p> <p dir="ltr">04:36 Challenges in Reinforcement Learning</p> <p dir="ltr">10:00 Is It Possible to be Capital Efficient in AI</p> <p dir="ltr">15:52 AI in Enterprise: Efficiency and Adoption</p> <p dir="ltr">22:15 Security Concerns with AI Agents</p> <p dir="ltr">28:34 Can Zuck Win By Buying the Galacticos of AI</p> <p dir="ltr">32:15 The Rising Cost of Data</p> <p dir="ltr">35:28 Synthetic Data and Model Degradation</p> <p dir="ltr">37:22 Wh...