OpenAI Codex, every mention
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every year anyone Shawn Wang 45Ryan Lopopolo 34Brian Fioca 27Akshay Nathan 15Alessio Fanelli 7Samuel Colvin 6Mike Merrill 5Dylan Patel 5Sid Bendre 4Kevin Weil 4
Verbatim, from the transcripts: the passages where OpenAI Codex comes up
Greg Brockman on OpenAI's Road to AGI
- ▶ 49:48 Greg Brockman And then you have your codex infrastructure that has a local agent and a remote agent, and that is able to seamlessly, you know, interplay between the two, um, and then is able to multiplayer.
The AI Agenda: GPT5 leaks and the business of AI News — Steph Palazzolo, The Information
- ▶ 37:23 Alessio Fanelli Um, and I think obviously open AI wants to get the same type of data with codecs, but I think they're way far behind as far as adoption, at least in our, in our circles.
⚡️Composio: 10,000+ tools that evolve for Agents — Karan Vaidya and Soham Ganatra
- ▶ 20:41 Karan Vaidya Uh, you can use probably codecs, uh, with Grok four as well, but, uh,
The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
- ▶ 51:53 Alessio Fanelli I've been using the codex vessel van thing, and I feel like most of the generations are, like, you know, five percent different from each other.
⚡️Using RFT to Build Clinical Superintelligence
- ▶ 20:55 Shawn Wang The OpenAI Codex team and they were like, yeah, you, you went to college and you have a, you have basic knowledge of software, but here we are giving them like the first few months, maybe the first year of being on the job training.
Cline: The Collaborative AI Coder
- ▶ 57:12 Shawn Wang So, the instantiations of this now, I would say, are background agents is, it would be codecs, for example, like, not spinning up, you know, one PR per minute, and, or Devin, or Cognition. 2 times in the scene
⚡️Anthropic vs Cognition on Multi-Agents: A Breakdown with Dylan Davis
- ▶ 23:05 Dylan Davis It's not as beautiful, but this is for, uh, for Codex.
Scaling Test Time Compute to Multi-Agent Civilizations — Noam Brown, OpenAI
- ▶ 33:28 unnamed speaker You released Codex recently, but I would love to talk through the known Brown coding stack, what models you use, how you interact with them. 8 times in the scene
The AI Coding Factory
Tiny Teams: $6m ARR, 5m users with 4 employees — Sid Bendre, Oleve (Quizard AI/Unstuck AI)
- ▶ 1:28 Sid Bendre We like, what was interesting actually to note is back then we had no LLM costs when we launched, um, because we like back then Codex was actually a model that was live. 4 times in the scene
- ▶ 9:25 unnamed speaker But Codex did not have this. 3 times in the scene
Is finetuning GPT4o worth it?
- ▶ 5:39 Alistair Pullen And then of course, both being mobile devs and also seeing at that point, we'd learned about what the codex model was. 2 times in the scene
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
- ▶ 14:17 Beyang Liu I think Copilot uses some variant of codex.
The End of Finetuning — with Jeremy Howard of Fast.ai
- ▶ 1:11:11 Jeremy Howard Training language models, thanks to the help of Codex and Copilot and whatever.
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