Miles Brundage

Miles Brundage, an AI policy expert previously at OpenAI, dives into the implications of the DeepSeek R1 model on global AI dynamics. He critiques prevailing misconceptions around DeepSeek's capabilities and addresses the challenges of export controls that affect AI innovation. Brundage underscores the necessity of computational resources for progress in AI, drawing parallels to historical leaps in science. He also discusses the delicate balance between national security and technological advancement, highlighting the risks associated with uncontrolled AI evolution.

Miles Brundage, an AI policy researcher and former OpenAI head, joins Chris Rohlf, a cybersecurity expert at Meta with over two decades of experience. They dive into the evolving landscape of cybersecurity, exploring how AI reshapes offense and defense dynamics. The discussion highlights the risks of securing AI model weights, critiques 'AI security doomerism,' and underscores the need for policymakers to incentivize better security measures. Their insights illuminate the crucial intersection of technology, policy, and national security.

This conversation features Amanda Askell, a research scientist at OpenAI specializing in AI policy; Miles Brundage, also from OpenAI's policy team; and Jack Clark, their Policy Director. They dive deep into the complexities of AI policy, covering issues like ethical guidelines and the potential for AI misuse. The trio explores the fascinating parallels between AI applications in robotics and gaming, emphasizing the need for responsible publication norms. They also discuss the urgent call for collaboration among diverse stakeholders to ensure safe, innovative AI development.

Dr. Miles Brundage, Head of Policy Research at OpenAI, discusses AI models like GPT-3, DALL-E, Codex, and CLIP, AI policy, safety, alignment, and the future impact of AI on various professions.

Miles Brundage and Tim Hwang discuss the intersection of AI and cryptocurrency, risks of emerging technologies, contrasting policy approaches, interdisciplinary research at FHI, short-term vs long-term AI concerns, and predictions for superhuman gaming and meta learning.