Matthew Mottola: Are you surprised? Did you see this happening? I was skeptical. A year ago if you told me we were going to hit AGI in the next 10 years, I'd say you're crazy. Now I think we're totally living in AGI. Our AI and our own Human Cloud LLMs are going to determine the most interesting parts of this episode. That used to be a human. Are you surprised by the current advances?
Eric Ly: In a nutshell, I am surprised, to be honest. I've known this stuff for a long time. When I was in college I was really interested in AI, and I had that as part of my major. So I knew a lot about AI when the latest wave of large language models and foundation models came. I knew how they worked. And to be honest, I had my doubts, because I knew the theoretical foundations of how this stuff worked. I knew the problems back then. They still exist because it's the same basic architecture, so there are still going to be limitations. But as I said, I have been surprised. What I realized was, at some point, despite the limitations, the technology has already gotten so good that it's almost an academic question. It's an irrelevant question to ask whether we're pre-AGI or post-AGI. Honestly, it doesn't matter. It's getting so good that it doesn't matter. It's good enough and it's capable enough to do so many things. And it's only going to get even better. There's going to be a world where the AI is going to do so many things and it's going to be competent enough to add so much value that work and jobs are going to shift over to the AI side of things. That's going to happen. It's becoming an academic question that really doesn't matter. Are we going to reach AGI? It doesn't really matter whether that is honestly going to happen or not.
