20VC: Cohere's Chief Scientist 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
Description
Joelle Pineau is the Chief Scientist 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.
AGENDA:
00:00 Introduction to AI Scaling Laws
03:00 How Meta Shaped How I Think About AI Research
04:36 Challenges in Reinforcement Learning
10:00 Is It Possible to be Capital Efficient in AI
15:52 AI in Enterprise: Efficiency and Adoption
22:15 Security Concerns with AI Agents
28:34 Can Zuck Win By Buying the Galacticos of AI
32:15 The Rising Cost of Data
35:28 Synthetic Data and Model Degradation
37:22 Why AI Coding is Akin to Image Generation in 2015
48:46 If Joelle Was a VC Where Would She Invest?
52:17 Quickfire: Lessons from Zuck, Biggest Mindset Shift
United States
