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Tim Sweeney: belief

30 Apr 2025 Lex Fridman Podcast #467 – Tim Sweeney: Fortnite, Unreal Engine, and the Future of Gaming

“I think a lot of people like the theories that get the biggest traction on social media often don’t capture the real underlying motive forces at play there.”

— Tim Sweeney

Source trail

Everything needed to verify it.

Speaker
Tim Sweeney
Attribution
Verified speaker
Claim type
belief
Recorded
30 Apr 2025
Publisher
Lex Fridman Podcast

Transcript context

…Of course, there is a real human pain to layoffs and there’s a hype around AI and then companies might try to implement AI systems, and in so doing, layoff a bunch of folks and the pain that those folks feel is real. I think there’s always going to be pain with these kinds of transformation that’s happening and it’s a terrible pain. Pain in general in the human experience is terrible. But I think I’m personally excited by the human AI collaboration as you’ve described in this whole process. I think if you just keep being open to using the tools, constantly trying the cutting edge tools, how they can make you more productive, how can they empower you as a creator, as an artist, or as an engineer, I think you’re going to just keep winning. There’s a lot of complicated trends underway. It can be hard to break them down and distinguish them. I think a lot of people like the theories that get the biggest traction on social media often don’t capture the real underlying motive forces at play there. But I think AI involved in code production will probably create a net benefit for the need for humanity to be involved in coding. It may change parts of jobs. I don’t think it’s going to obsolete anybody who’s willing to learn new ways of doing things. It’s always been this way. I think that there’s also a lot of over hype in AI. AI is really great at spewing out code that does something that a million GitHub repositories already do because it’s learned the underlying pattern. It’s notoriously hard to get to do something new that hasn’t been done before, especially when it’s a complex task. The bigger amount of code you ask AI for, the more it leaves you with just a mess of code that sort of works. Then that’s the problem with code, it like 99% works, but the 1%, it might be harder to get to 100% with AI than with hand coding. Everybody who’s looking at this topic should actually try using the coding assistants on hard problems and see how they do there. I think for me personally, it makes it more fun and faster to generate boiler play code so I can focus on the harder decisions, harder big picture decisions and harder innovative decisions and all that kind of stuff, and just makes programming more fun for me because I feel less lonely. Even when it gives the wrong code, I get like, “Oh, okay, well that’s a way to do it. That’s interesting.” Then you could talk to it. Maybe that shows something about the programming experience that it is in part sometimes a bit lonely.…

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