Podcast Episodes
Back to SearchAI in practice: LLMs, psychology research, and mental health
Season 1 Episode 35
We’re excited to have Adi Ganesan, a PhD researcher at Stony Brook University, the University of Pennsylvania, and Vanderbilt, on the show. We’ll tal…
7 months, 2 weeks ago
LLM scaling: Is GPT-5 near the end of exponential growth?
Season 1 Episode 34
The release of OpenAI GPT-5 marks a significant turning point in AI development, but maybe not the one most enthusiasts had envisioned. The latest ve…
8 months ago
AI governance: Building smarter AI agents from the fundamentals, part 4
Season 1 Episode 34
Sid Mangalik and Andrew Clark explore the unique governance challenges of agentic AI systems, highlighting the compounding error rates, security risk…
8 months, 4 weeks ago
Linear programming: Building smarter AI agents from the fundamentals, part 3
Season 1 Episode 34
We continue with our series about building agentic AI systems from the ground up and for desired accuracy. In this episode, we explore linear progra…
9 months, 1 week ago
Utility functions: Building smarter AI agents from the fundamentals, part 2
Season 1 Episode 33
The hosts look at utility functions as the mathematical basis for making AI systems. They use the example of a travel agent that doesn’t get tired an…
10 months, 1 week ago
Mechanism design: Building smarter AI agents from the fundamentals, Part 1
Season 1 Episode 32
What if we've been approaching AI agents all wrong? While the tech world obsesses over larger language models (LLMs) and prompt engineering, there'a …
11 months ago
Principles, agents, and the chain of accountability in AI systems
Dr. Michael Zargham provides a systems engineering perspective on AI agents, emphasizing accountability structures and the relationship between princ…
11 months, 1 week ago
Supervised machine learning for science with Christoph Molnar and Timo Freiesleben, Part 2
Part 2 of this series could have easily been renamed "AI for science: The expert’s guide to practical machine learning.” We continue our discussion w…
1 year ago
Supervised machine learning for science with Christoph Molnar and Timo Freiesleben, Part 1
Season 1 Episode 29
Machine learning is transforming scientific research across disciplines, but many scientists remain skeptical about using approaches that focus on pr…
1 year ago
The future of AI: Exploring modeling paradigms
Season 1 Episode 28
Unlock the secrets to AI's modeling paradigms. We emphasize the importance of modeling practices, how they interact, and how they should be considere…
1 year, 1 month ago