Podcast Episode

VC10X - Why the Labs Suddenly Love Open Weights - David Epstein, GP, USF Ventures

VC10X - Investing, Venture Capital, Asset Management, Family Office, Wealth Management
Aug 4, 202653 minEN
Host
PTPrashant Tandon
Guest
DEDavid Epstein

Who’s talking

2 speakers
David Epstein42 min · 80%
Prashant Tandon10 min · 20%

Transcript

90 turns · 53 min
DE
David Epstein0:00

This is more in the startup world, kind of they claim, "We have 100 employees, 10 of which are human."

PT
Prashant Tandon0:05

That's interesting. I didn't know that's ac- already happening [chuckles] in the ecosystem.

DE
David Epstein0:09

[laughs]

PT
Prashant Tandon0:10

People are reporting headcount numbers like that now. Amazing.

DE
David Epstein0:13

Yeah, headco- AI headcount as well. [laughs]

PT
Prashant Tandon0:16

The open source AI letter is out, and a lot of the big companies, or most of the big companies have actually signed it, including OpenAI, except Anthropic. How do you look at that?

DE
David Epstein0:27

I think it is defensive. I mean, I think they, they realize exactly what I was saying before. They realize that companies are not going to be spending the money if they can get cheap models that do, um, as well for certain tasks. You know, it's the idea that, uh, the, the perfect is the enemy of the, of the good.

PT
Prashant Tandon0:47

We continue to see layoffs from large and small companies, uh, with some blame on AI. Uh, what do you think about that?

DE
David Epstein0:54

I think this is just the beginning.

PT
Prashant Tandon0:58

Hey everyone, this is Prashant Tandon, your host of the VC10X podcast, and today we have David Epstein with us. David is a general partner at USF Ventures and was previously a general partner at Crosslink Capital. He's done more than half a dozen startup. He teaches at the University of San Francisco, and he began his career designing computers at Data General. In this conversation, Dave makes the case that the real AI bottleneck isn't chips or power, it's data. He explains why frontier labs backing open models is a defensive move, not a principled one. And he tells me why he thinks jobs will disappear faster than they get created. So without wasting any time, let's dive straight in. This episode is brought to you by PodcastNX, my podcasting agency for VCs. We help VCs start and run branded podcasts that can serve as their entire content engine. Turn the conversations you're already having into a machine. One recording becomes your presence on LinkedIn, Spotify, YouTube, and email. Don't just build another VC firm. Build a firm that can stand out to LPs and one that founders can brag about having you on their cap table. Check out our services at podcastnx.com. I'll put the link in the description below. Now, enjoy the episode. Hey David, so good to have you on the VC10X podcast. How are you doing?

DE
David Epstein2:17

Thanks, Prashant. Yeah. Ver- I'm doing well, and, uh, I just wanna say that I've enjoyed your, uh, podcast in the past. They're insightful and current and interesting, so I'm excited to be on.

PT
Prashant Tandon2:27

Absolutely. My pleasure having you on, and, uh, really thank- thanks for the compliment. It means a lot to me. Uh, so to start things off, let's talk about USF Ventures. USF Ventures sits at the heart of Silicon Valley's innovation ecosystem. From your vantage point, what feels fundamentally different about the AI startup landscape today compared to just two years ago?

DE
David Epstein2:48

Uh, interesting question. So, uh, AI, I don't think is a, uh, no longer a thing that's independent of companies. I think that, uh, we right now, maybe we can characterize frontier and foundation model development companies as being AI companies independent. But now it's not a novelty anymore. It's, it's very normalized. Every company has to be using and is

Episode notes

David Epstein is General Partner at USF Ventures, the venture fund backing companies connected to the University of San Francisco. He was previously a General Partner at Crosslink Capital and has held management and CEO roles at more than half a dozen startups. He also teaches entrepreneurship and finance, and began his career at Data General as a computer designer, on the project chronicled in Tracy Kidder's Pulitzer Prize winning The Soul of a New Machine.

In this episode, Dave argues that the real AI bottleneck isn't chips, power, or capital. It's data. We get into why frontier labs backing open weight models is a defensive move rather than a principled one, where early stage startups can still win, and why he thinks jobs will disappear faster than they get created.

⭐This episode is brought to you by Podcast10x. We help founders and investors turn one podcast episode into a full month of content. Strategy, production, and distribution handled end to end. Learn more at https://podcast10x.com

What we cover:

→ Why "AI company" is no longer a category, and the pitch deck claim that has become his pet peeve

→ Why AI isn't a tool anymore, and what makes this cycle different from the dot com era

→ The real bottleneck: why we've exhausted the internet's data and what comes next

→ Money as the constraint nobody prices in, and the circularity in the

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