Scaling and the Road to Human-Level AI | Anthropic Co-founder Jared Kaplan

Jared Kaplan discusses scaling laws in AI, highlighting the importance of pre-training and reinforcement learning phases for AI model improvement. He touches on the increasing flexibility and capability of AI, emphasizing the potential for AI to handle longer and more complex tasks. Kaplan also addresses the need for AI to work with organizational knowledge, memory, and nuanced oversight. The conversation shifts to practical applications, with Kaplan suggesting areas like finance and law as greenfield opportunities for AI integration. He shares his background as a physicist and how that perspective helps in identifying and refining macro trends in AI. The discussion concludes with questions about the future of AI, the role of compute power, and how individuals can stay relevant in a rapidly evolving AI landscape.