If you’re in SF: Join us for the Claude Plays Pokemon hackathon this Sunday!
If you’re not: Fill out the 2025 State of AI Eng survey for $250 in Amazon cards!
Unsupervised Learning is a podcast that interviews the sharpest minds in AI about what’s real today, what will be real in the future and what it means for businesses and the world - helping builders, researchers and founders deconstruct and understand the biggest breakthroughs.
Top guests: Noam Shazeer, Bob McGrew, Noam Brown, Dylan Patel, Percy Liang, David Luan
Full Episode on Their YouTube
Timestamps
00:00 Introduction and Excitement for Collaboration
00:27 Reflecting on Surprises in AI Over the Past Year
01:44 Open Source Models and Their Adoption
06:01 The Rise of GPT Wrappers
06:55 AI Builders and Low-Code Platforms
09:35 Overhyped and Underhyped AI Trends
22:17 Product Market Fit in AI
28:23 Google's Current Momentum
28:33 Customer Support and AI
29:54 AI's Impact on Cost and Growth
31:05 Voice AI and Scheduling
32:59 Emerging AI Applications
34:12 Education and AI
36:34 Defensibility in AI Applications
40:10 Infrastructure and AI
47:08 Challenges and Future of AI
52:15 Quick Fire Round and Closing Remarks
Transcript
[00:00:00] Introduction and Podcast Overview
[00:00:00] Jacob: well, thanks so much for doing this, guys. I feel like we've we've been excited to do a collab for a while. I
[00:00:13] swyx: love crossovers. Yeah. Yeah. This, this is great. Like the ultimate meta about just podcasters talking to other podcasters. Yeah. It's a lot. Podcasts all the way up.
[00:00:21] Jacob: I figured we'd have a pretty free ranging conversation today but brought a few conversation starters to, to, to kick us off.
[00:00:27] Reflecting on AI Surprises and Trends
[00:00:27] Jacob: And so I figured one interesting place to start is you know, obviously it feels that this world is changing like every few months. Wondering as you guys reflect path on the past year, like what surprised you the most?
[00:00:36] Alessio: I think definitely recently models we kinda on the, on the right here. Like, oh, that, well, I, I I think there's, there's like the, what surprised us in a good way.