#458 – Marc Andreessen: Trump, Power, Tech, AI, Immigration & Future of America
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The following is a conversation with Mark Andreessen, his second time on the podcast. Mark is a visionary tech leader and investor who fundamentally shaped the development of the internet and the tech industry in general over the past 30 years. He is the co-creator of Mosaic, the first widely used web browser, co-founder of Netscape, co-founder of the legendary Silicon Valley venture capital firm, Andreessen Horowitz, and is one of the most influential voices in the tech world, including at the intersection of technology and politics. And now, a quick few second mention of each sponsor. Check them out in the description. It's the best way to support this podcast. We got Encore for unifying your email stack, GitHub for programming, Notion for team projects and collaboration, Shopify for merch, and Element for hydration. Choose wisely, my friends. Also, if you want to get in touch with me, for whatever reason, go to lexfriedman.com slash contact. And now onto the full ad reads. No ads in the middle.
I try to make this interesting, but if you skip them, please still check out the sponsors. I enjoy their stuff. Maybe you will too. This episode is brought to you by Encord, a platform that provides data-focused AI tooling for data annotation, curation, and management. And for model evaluation, once you train up the model on the data that you curate. In this conversation with Marc Andreessen, we actually discuss what he calls kind of like the trillion dollar questions. And one of them for AI is how effective will synthetic data be? It really is an open question. What piece, what fraction of the intelligence of future models will be based on training on synthetic data? At the top AI labs, I'm hearing a lot of optimism.
As far as I can tell, that optimism is not currently, at least in the general case, based on any real evidence. So I do think synthetic data will play a part. But how big a part? There's still going to be some curation from humans. There's still going to need to be a human in the loop. I think the real question is how do you effectively integrate the human in the loop so that the synthetic data, sort of 99% synthetic, 1% human, that combination can be most effective? That's a real question. And companies like Encore are trying to solve that very problem. First of all, they want to provide the tooling for the annotation, for the actual human-IAC collaboration, but also asking and answering the research question of how do you... pull it all off, and make the resulting model more intelligent for a very specific application than for the general applications. Yeah, so Encore does a really good job on the tooling side.
Go try them out to curate, annotate, and manage your AI data at Encore.com. That's Encore.com. This episode is brought to you by GitHub and GitHub Copilot. If you don't know what that is, my friends, you're in for a joyous, beautiful surprise. I think a lot of people that program regularly know and love GitHub and know and love Copilot. It's the OG AI programming assistant, and it's the one that's really trying to win this very competitive space. It is not easy. If you're somebody that uses VS Code, obviously, well, maybe not obviously, but you can use GitHub Copilot in VS Code. But you can use it also in other IDEs. I'm going to be honest with you. It's a very competitive space. I'm trying all the different tools in the space.
And I really love how much GitHub and GitHub Copilot want to win in this competitive space. So... I'm excitedly sort of sitting back and just eating popcorn like that Michael Jackson meme and just enjoying the hell out of it. And like I said, I'm going to be doing a bunch of programming episodes, including with Primogen. And he, I think, has a love-hate relationship with AI and with AI agents and with the role of AI in the programming experience, and he's really at the forefront of people that are playing with all these languages, with all these different applications, with all the different use cases of code. And he is a new Vim user, so he's going to be skeptical in general of new technology.
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