Human minds are scaffolded by the tools we create, but what happens when we build tools that can use other tools?

Cognitive scientist Danielle Perszyk sits down with AI researcher Vibhaa Sivaraman to discuss agent tool use and the future of the digital world. They unpack what it really means to build computer-use agents—not just chatbots with function calls—by exploring personalization, multi-agent collaboration, and the idea of agents as the next “cognitive technology.” As agents begin navigating the web on our behalf, they examine how digital environments might evolve and whether agents should think like us, or complement us in entirely new ways.

Pre-trained language models already contain vast knowledge—the challenge is producing the reasoning needed to handle ambiguous, multi-step tasks. Cognitive scientist Dr. Danielle Perszyk sits down with Amazon AI researcher, Meiqi Sun, to explore the shift from simple action execution to high-reasoning agents.

Drawing parallels to human cognitive development, they discuss how reinforcement learning enables models to generate and refine their own chains of thought rather than relying on rigid, human-written templates. Together, they unpack why teaching agents to reason requires the freedom to explore, struggle, and self-correct.

What if the key to building intelligent agents isn't just better models, but better teachers? Cognitive scientist Dr. Danielle Perszyk sits down with AI researcher Anirudh (Ani) Chakravarthy from Amazon's AGI Lab to explore how agents learn—not through memorization of data sets, but through structured experience.

Drawing parallels to human development, Ani introduces a training approach where two AI agents work together: one explores the web to discover tasks at the frontier of its capabilities, while the other learns from these challenges—a new approach to self-play. Together, Ani and Danielle discuss how this process points to a form of embodied intelligence distinct from language models—and what it could mean for the future of human-AI collaboration.