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

Harry Stebbings interviews Joelle Pineau, Chief Scientist at Cohere, about the current state and future directions of AI. They discuss reinforcement learning's inefficiencies and potential, the economics and challenges of capital-efficient AI, and the balance between compute, data, and algorithms. Joelle shares her experiences at Meta and her current focus on developing AI models for enterprise use at Cohere, emphasizing the importance of integrating AI into existing workflows and the need for data confidentiality and security. The conversation also covers AI security vulnerabilities, the role of governments in setting AI standards, team building strategies, and the potential for AI in scientific discovery, while also touching on the impact of AI on society, the importance of open-source models, and the need for efficient AI solutions.