OpenAI Codex, every mention

mentionsepisodesper episode tap a year for its mentions

Verbatim, from the transcripts: the passages where OpenAI Codex comes up

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▶ 14:37 Elad Gil And that could be specific companies like Decagon having agents that do customer support, but it's also the larger platforms like OpenAI, Anthropic, Google, et cetera, providing increasingly, um, self-driven systems, Codex or, uh, Cloud…

▶ 18:48 Philipp Herzig So they need to come back to you, like also still with cloud code or codex, and still ask you some clarifying questions.
▶ 33:13 Philipp Herzig With, with, with Codex or with Cloud Code, but they actually then start supervising the code, give feedback, right?

▶ 8:05 Liam Fedus Um, we're, you know, incredibly impressed by codex, cloud code.

▶ 0:08 Andrej Karpathy How can I have not just a single session of plot code or codex or some of these agent harnesses?
▶ 2:31 Andrej Karpathy How is it, how can I have not just a single session of, you know, um, cloud code or codex or some of these agent harnesses?
▶ 4:03 Andrej Karpathy He has a funny photo where he's in front of a monitor with lots of, ah, like, uh, he uses codecs. 3 times in the scene
▶ 8:16 Andrej Karpathy Uh, I would say, um, for example, Codex is a lot more dry, um, which is kind of interesting because in Chashi PT, Codex is like a lot more upbeat and highly sycophantic. 3 times in the scene

▶ 42:09 Gabe Pereyra Like, I think a really interesting question for the, for the cursors, the codex is, is like making someone program 20% faster doesn't make you build a product 20% faster.

▶ 19:19 Zach Lloyd And I think they're clearly trying to do that playbook right now where they are seeing like, okay, if you consider them platforms and they're looking at what are the most valuable applications that are being built on top of the tokens,…

▶ 12:38 Eric Zelikman Like, if you look at products like, you know, OpenAI's Codex, um, which, you know, is kind of this longer-running background thing, uh, versus, like, uh, Cursor, which is, like, you know, more interactive.

▶ 1:00:12 Misha Laskin And we're starting to see that already in the sense that the model that powers OpenAI's codecs is not the O series of models. 2 times in the scene

▶ 5:55 Sarah Guo OpenAI with Codex, they make it, made a bet on, um, async, like cloud-based software engineering agent.

▶ 22:02 Elad Gil and so I think when GitHub Copilot launched, it was on Codex, which was like a specialized code model, and then eventually that just got subsumed into these more general purpose models in terms of what a lot of people are actually using…

▶ 25:17 Thomas Dohmke And then, um, we got this model that then eventually became Codex, um, which was this code-specific, you know, version of the model.

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