Today we’re joined by Tom Goldstein, an associate professor at the University of Maryland. Tom’s research sits at the intersection of ML and optimization and has previously been featured in the New Yorker for his work on invisibility cloaks, clothing that can evade object detection. In our conversation, we focus on his more recent research on watermarking LL ... Show More
Oct 6
Why Jev Is Changing How We Build With AI with Diogo Almeida - #779
In this episode, Diogo Almeida, co-founder and CEO of TypeSafe, joins us to discuss Jev, TypeSafe’s recently released model for bringing fast, reliable intelligence directly into software. We explore the idea of “machine-native intelligence” and why Diogo believes models optimize ... Show More
1h 30m
Sep 29
From Math Olympiads to Navier-Stokes: How Fast Is AI Progressing? with Greg Burnham - #778
AI systems have gone from struggling with grade-school math to helping solve research problems that have resisted mathematicians for decades, including Navier-Stokes. In this episode, Greg Burnham, who leads AI capabilities research at Epoch AI, joins us to examine what that prog ... Show More
1h 7m
Sep 17
From Voice Agents to AI Avatars with Alexander Smola - #777
Voice AI has gotten remarkably good, but natural conversation remains a high bar. Small delays, awkward interruptions, or the wrong tone can quickly break the illusion—and adding vision and visual presence only raises the stakes. In this episode, Alex Smola, co-founder and CEO of ... Show More
1h 4m
Oct 2025
Week in Tech: To Catch a Cheater
Should facial recognition be available to everybody? This week, Oz shows off his new swag from the company of the moment, Colossal Biosciences, and tells us about his visit to the labs’ responsible for Woolly Mice and Dire Wolves. Then, Oz and Karah unpack how facial recognition ... Show More
32m 3s
