OpenAI exec reveals why competition actually helps them win the AI race
“But basically, because we're playing such a long game for us, if the competition gets better, we learn.”
Yeah. I'm totally aware of it. It's like where OpenAI is like a really interesting and unusual place to work. But basically, because we're playing such a long game for us, if the competition gets better, we learn. It's actually helpful for us. And so we're pushing really hard at growing codex.
You learn because if if if they're closed
and they improve, you don't learn. I don't think so. For example, there are a bunch of recent launches. Like, even today, I literally just, like, quote tweeted a thing this morning about a launch from Warp. No particular affiliation. Right? And there are a bunch of cool ideas in there about how they, like, framed up the way that their agent can work in the cloud at the same time as working locally. And for me, that's, like, inspiring. And I think I see all these things from various companies. And, like, one of the coolest things about the space is it's, like, we're all kind of inevitably reaching the same conclusions together and then building things out. And so, you know, on the codecs team, I think we have some massive advantages. Right? We have the massive distribution advantage with ChatsPT.
About this clip
Alex Embiricos from OpenAI's Codex team explains their counterintuitive approach to competition - they actually benefit when rivals like Warp launch new features because it provides learning opportunities. He argues that open innovation in the coding AI space helps everyone reach similar conclusions faster, while OpenAI maintains key advantages like ChatGPT's massive distribution.
Why this clip
This reveals an unusual competitive philosophy from a major AI company that goes against conventional wisdom about protecting competitive advantages.
What they said next
OpenAI's Codex grew 20x since August by pivoting from cloud agents to interactive coding
38:49 - 53s · founder story
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