About the podcast
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Our approachMaking a Mind examines the scientific breakthroughs required to realize useful general intelligence. Each episode features researchers tackling the hardest problems in agentic AI — from building reliable perception systems to designing training environments that mirror human learning.
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Our hostDanielle Perszyk leads the human-computer interaction (HCI) team at the Lab, where she focuses on building AI agents that augment human intelligence. With a background in cognitive science and developmental psychology, she brings an interdisciplinary lens to understanding how humans and AI can think together.
Stay tuned
We publish new episodes every other week across YouTube, Amazon Music, Apple Podcasts, and Spotify.
Bonus episode
While we gear up for Season 2, we're sharing a special episode to bridge the seasons. Recorded live at SXSW, this conversation examines how AI agents are moving out of controlled research environments and into real-world consumer applications — and what it takes to make them reliable enough to matter.
Building agents that work in the real world: Live from SXSW
Season 1
A deep dive into the building blocks of agentic AI. Researchers from the AGI Lab break down how agents learn, see, and reason — from reinforcement learning and perception to training environments that mirror human development.
Up Next
A History of Modern Agents with Kelsey Szot
Building Reinforcement Learning (RL) Gyms to Shape Agent Learning with Jason Laster
Giving Agents the Ability to See with Matthew Elkherj
Improving Agent Reliability with Reinforcement Learning with Deniz Birlikci
Improving Agent Reliability with Reinforcement Learning with Deniz Birlikci
Developing Agent Learning Curriculums with Anirudh Chakravarthy
A History of Modern Agents with Kelsey Szot
