
What does it actually take to build a mind? Cognitive scientist Danielle Perszyk sits down with world-class researchers, academics, and industry pioneers to explore the science of intelligence — from its evolutionary and cultural origins to the frontiers of AI. Challenging simplistic narratives about the race to superintelligence, each conversation unpacks how humans think, learn, and collaborate,... more
| Publishes | Twice monthly | Episodes | 10 | Founded | 6 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ScienceTechnology | |||

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 wha... more
What would it mean to design AI for human flourishing? In the final episode of this season of “Making a Mind,” Cognitive scientist Dr. Danielle Perszyk sits down with Dr. Pat Pataranutaporn, Assistant Professor at the MIT Media Lab and founder of the... more
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 digi... more
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 ... more
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 throu... more
A system that succeeds once is a demo. A system that succeeds every time is a breakthrough. Dr. Danielle Perszyk sits down with AI researcher Deniz Birlikci from Amazon's AGI Lab to explore how reinforcement learning (RL) is transforming AI agents fr... more
Before an AI agent can reason or plan, it has to see. Dr. Danielle Perszyk and AI researcher Matthew Elkherj explore why user interface (UI) understanding is one of the most underestimated challenges in building autonomous agents—and why it’s foundat... more
How do you build environments complex enough to train agents that can handle the real web? Dr. Danielle Perszyk sits down with Jason Laster, an engineer leading Amazon's AGI Lab's effort to build reinforcement learning (RL) gyms— simulated web enviro... more
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