Unsupervised Learning x Latent Space Crossover Special
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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 include Noam Shazeer, Bob McGrew, Noam Brown, Dylan Patel, Percy Liang, and David Luan.
Discussion Highlights:
- Introduction and Excitement for Collaboration
- Reflecting on Surprises in AI Over the Past Year
- Open Source Models and Their Adoption
- The Rise of GPT Wrappers
- AI Builders and Low-Code Platforms
- Overhyped and Underhyped AI Trends
- Product Market Fit in AI
- Google's Current Momentum
- Customer Support and AI
- AI's Impact on Cost and Growth
- Voice AI and Scheduling
- Emerging AI Applications
- Education and AI
- Defensibility in AI Applications
- Infrastructure and AI
- Challenges and Future of AI
- Quick Fire Round and Closing Remarks
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.
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.
Jacob: I figured we'd have a pretty free ranging conversation today but brought a few conversation starters to kick us off.
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?
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.
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