There will be a scientific theory of deep learning
Host [Host Name] interviews Jamie Simon and Daniel Kunin about the emerging scientific theory of "learning mechanics" that explains why deep learning works so well.
14 Nov 2025TRANSCRIPT
Malleable software and human agency with Geoffrey Litt
Geoffrey Litt is a design engineer at Notion working on malleable software: computing environments where anyone can adapt their software to meet their needs and their lives. Before joining Notion, he was a researcher at the independent lab, Ink & Switch (https://www.inkandswitch.com/), where he explored the future of computing. He did his PhD at MIT on programming interfaces. Most of his work circles around a very simple but powerful question: how can everyday people shape the software they use like clay so that humans can have more power and agency in the world?
In this conversation, Geoffrey and Kanjun discuss:
Technical, economic, and infrastructural barriers to malleable software
Inventing new UI components for the AI age
Principles for agent-human collaboration
How AI affects the creative process
...and more!
Full transcript: https://imbueai.substack.com/p/geoffrey-litt
Generally Intelligent is a podcast by Imbue (imbue.com), an independent research company developing a better way to build personal software. Our mission is to empower humans in the age of AI by creating powerful computing tools controlled by individuals.
Website: https://imbue.com/ (https://imbue.com/)
Substack: https://imbueai.substack.com/ (https://imbueai.substack.com/)
LinkedIn: https://www.linkedin.com/company/imbue_ai/ (https://www.linkedin.com/company/imbue_ai/)
X: @imbue_ai (x.com/imbue_ai)
Bluesky: https://bsky.app/profile/imbue-ai.bsky.social (https://bsky.app/profile/imbue-ai.bsky.social)
YouTube: https://www.youtube.com/@imbue_ai/ (https://www.youtube.com/@imbue_ai/)
13 Aug 2025TRANSCRIPT
From lawless spaces to true liberty: rethinking AI's role in society
Welcome back to Generally Intelligent! We’re excited to relaunch our podcast—still featuring thoughtful conversations on building AI, but now with an expanded lens on its economic, societal, political, and human impacts.
Matt Boulos (boulos.ca) leads policy and safety at Imbue, where he shapes the responsible development of AI coding tools that make software creation broadly accessible. His work centers on understanding what technological power means for individual liberty and advocates for the legal and institutional frameworks we need to protect our freedom. Matt is a lawyer, computer scientist, and founder.A full transcript is available on our Substack: https://imbueai.substack.com/matt-boulos/
Highlights:
AI’s four core challenges
Governing lawless digital spaces
Why abundance is not enough without liberty
Freedom as deep enablement and deep protection
The role of technologists in shaping society
Generally Intelligent is a podcast by Imbue (imbue.com), an independent research company developing a better way to build personal software. Our mission is to empower humans in the age of AI by creating powerful computing tools controlled by individuals.
Website: https://imbue.com/ (https://imbue.com/)
Substack: https://imbueai.substack.com/ (https://imbueai.substack.com/)
LinkedIn: https://www.linkedin.com/company/imbue_ai/ (https://www.linkedin.com/company/imbue_ai/)
X: @imbue_ai (x.com/imbue_ai)
Bluesky: https://bsky.app/profile/imbue-ai.bsky.social (https://bsky.app/profile/imbue-ai.bsky.social)
YouTube: https://www.youtube.com/@imbue_ai/ (https://www.youtube.com/@imbue_ai/)
Inside a recent episode
There will be a scientific theory of deep learning
Published 24 Apr 2026 · Transcript excerpt
[…] So these are five pockets of kind of organizations of complexity. Yes. And the hope and our hope and belief is that these pockets can be widened and eventually linked together into something resembling a comprehensive theory. And this will happen in the next decade or so. Cool, that's super interesting. Let's talk about some of the pockets. Yeah, shall we start with the first one? Yeah, the first kind of like organized pocket is analytically solvable settings exist. Can you tell us a little bit? Tell me as a theory lay person, like what does that mean? And what does it let me understand or organize? […]
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