Peter Lee: Computing Theory and Practice, and GPT-4's Impact

Peter Lee: Computing Theory and Practice, and GPT-4's Impact

Author: Daniel Bashir August 1, 2024 Duration: 1:01:48

Episode 133

I spoke with Peter Lee about:

* His early work on compiler generation, metacircularity, and type theory

* Paradoxical problems

* GPT-4s impact, Microsoft’s “Sparks of AGI” paper, and responses and criticism

Enjoy—and let me know what you think!

Peter is President of Microsoft Research. He leads Microsoft Research and incubates new research-powered products and lines of business in areas such as artificial intelligence, computing foundations, health, and life sciences. Before joining Microsoft in 2010, he was at DARPA, where he established a new technology office that created operational capabilities in machine learning, data science, and computational social science. Prior to that, he was a professor and the head of the computer science department at Carnegie Mellon University. Peter is a member of the National Academy of Medicine and serves on the boards of the Allen Institute for Artificial Intelligence, the Brotman Baty Institute for Precision Medicine, and the Kaiser Permanente Bernard J. Tyson School of Medicine. He served on President Obama’s Commission on Enhancing National Cybersecurity. He has testified before both the US House Science and Technology Committee and the US Senate Commerce Committee. With Carey Goldberg and Dr. Isaac Kohane, he is the coauthor of the best-selling book, “The AI Revolution in Medicine: GPT-4 and Beyond.” In 2024, Peter was named by Time magazine as one of the 100 most influential people in health and life sciences.

Find me on Twitter for updates on new episodes, and reach me at editor@thegradient.pub for feedback, ideas, guest suggestions.

I spend a lot of time on this podcast—if you like my work, you can support me on Patreon :) You can also support upkeep for the full Gradient team/project through a paid subscription on Substack!

Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (00:50) Basic vs. applied research

* (05:20) Theory and practice in computing

* (10:28) Traditional denotational semantics and semantics engineering in modern-day systems

* (16:47) Beauty and practicality

* (20:40) Metacircularity in the polymorphic lambda calculus: research directions

* (24:31) Understanding the nature of difficulties with metacircularity

* (26:30) Difficulties with reflection, classic paradoxes

* (31:02) Sparks of AGI

* (31:41) Reproducibility

* (38:04) Confirming and disconfirming theories, foundational work

* (42:00) Back and forth between commitments and experimentation

* (51:01) Dealing with responsibility

* (56:30) Peter’s picture of AGI

* (1:01:38) Outro

Links:

* Peter’s Twitter, LinkedIn, and Microsoft Research pages

* Papers and references

* The automatic generation of realistic compilers from high-level semantic descriptions

* Metacircularity in the polymorphic lambda calculus

* A Fresh Look at Combinator Graph Reduction

* Sparks of AGI

* Re-envisioning DARPA

* Fundamental Research in Engineering



Get full access to The Gradient at thegradientpub.substack.com/subscribe

Hosted by Daniel Bashir, The Gradient: Perspectives on AI moves beyond surface-level headlines to explore the intricate machinery and human ideas shaping artificial intelligence. Each episode is built on a foundation of deep research, leading to conversations that are both technically substantive and broadly accessible. You'll hear from researchers, engineers, and philosophers who are actively building and critiquing our technological future, discussing not just how AI systems work, but the larger implications of their integration into society. This isn't about speculative hype; it's a grounded examination of real progress, persistent challenges, and ethical considerations from those on the front lines. The discussions peel back layers on topics like model architecture, policy, and the fundamental science behind the algorithms becoming part of our daily lives. For anyone curious about the substance behind the buzz-whether you have a technical background or are simply keen to understand a defining technology of our age-this podcast offers a crucial and thoughtful resource. Tune in for a consistently detailed and nuanced take that treats artificial intelligence with the complexity it deserves.
Author: Language: English Episodes: 100

The Gradient: Perspectives on AI
Podcast Episodes
Joss Fong: Videomaking, AI, and Science Communication [not-audio_url] [/not-audio_url]

Duration: 1:23:59
Episode 117“You get more of what you engage with. Everyone who complains about coverage should understand that every click, every quote tweet, every argument is registered by these publications as engagement. If what you…
Kate Park: Data Engines for Vision and Language [not-audio_url] [/not-audio_url]

Duration: 41:34
In episode 116 of The Gradient Podcast, Daniel Bashir speaks to Kate Park. Kate is the Director of Product at Scale AI. Prior to joining Scale, Kate worked on Tesla Autopilot as the AI team’s first and lead product manag…
Ben Wellington: ML for Finance and Storytelling through Data [not-audio_url] [/not-audio_url]

Duration: 1:07:40
In episode 115 of The Gradient Podcast, Daniel Bashir speaks to Ben Wellington.Ben is the Deputy Head of Feature Forecasting at Two Sigma, a financial sciences company. Ben has been at Two Sigma for more than 15 years, a…
Venkatesh Rao: Protocols, Intelligence, and Scaling [not-audio_url] [/not-audio_url]

Duration: 2:18:35
“There is this move from generality in a relative sense of ‘we are not as specialized as insects’ to generality in the sense of omnipotent, omniscient, godlike capabilities. And I think there's something very dangerous t…
Sasha Rush: Building Better NLP Systems [not-audio_url] [/not-audio_url]

Duration: 54:03
In episode 113 of The Gradient Podcast, Daniel Bashir speaks to Professor Sasha Rush.Professor Rush is an Associate Professor at Cornell University and a Researcher at HuggingFace. His research aims to develop natural la…
Nicholas Thompson: AI and Journalism [not-audio_url] [/not-audio_url]

Duration: 59:43
In episode 111 of The Gradient Podcast, Daniel Bashir speaks to Nicholas Thompson.Nicholas is the CEO of The Atlantic. Previously, he served as editor-in-chief of Wired and editor of Newyorker.com. Nick also cofounded At…
Russ Maschmeyer: Spatial Commerce and AI in Retail [not-audio_url] [/not-audio_url]

Duration: 55:41
In episode 109 of The Gradient Podcast, Daniel Bashir speaks to Russ Maschmeyer.Russ is the Product Lead for AI and Spatial Commerce at Shopify. At Shopify, he leads a team that looks at how AI can better empower entrepr…