o3, every mention
9 scenes · ← back to o3
tap a year for its mentions
every year anyone Nathan Labenz 9Steven Sinofsky 1Sherman Wu 1Noah Smith 1Mark Chen 1Dwarkesh Patel 1
Verbatim, from the transcripts: the passages where o3 comes up
How OpenAI Builds for 800 Million Weekly Users: Model Specialization and Fine-Tuning
- ▶ 13:36 Sherman Wu But I think we're learning this on the product side with like, you know, the GPT-Five launch and like four O and like how, how so many people liked O three and four O and, and all of that.
Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
- ▶ 4:47 Nathan Labenz You know, something that just came out a few months ago, like oh, three, right. 2 times in the scene
- ▶ 8:17 Nathan Labenz The one that I zero in on the most in terms of understanding how GBT 4.5 relates to both O three and GBT five and open AI, obviously famously terrible at naming. 2 times in the scene
- ▶ 19:54 Nathan Labenz And to own that, they need to simplify the product experience relative to what we had in the past, which was like, okay, you got GPT-IV and IV-O and IV-O-Mini and O-III and O-IV-Mini and other things, you know, IV-V was in there at one… 2 times in the scene
- ▶ 38:26 Nathan Labenz That's another data point, by the way, from this was from the O three system card. 3 times in the scene
From Vibe Coding to Vibe Researching: OpenAI’s Mark Chen and Jakub Pachocki
Aaron Levie and Steven Sinofsky on the AI-Worker Future
- ▶ 0:58 Steven Sinofsky Because, like, you type something into O-three, and then it's like, hey, I'm trying this out.
Dwarkesh Patel and Noah Smith on AGI and the Economy
- ▶ 46:26 Noah Smith Stuff like O three type models.
- ▶ 55:32 Dwarkesh Patel I do think relative to the technological predictions, Leo, you know, like, I think the main way in which he's been wrong is that, like, um, it didn't take some, like, breaking the, breaking, breaking the servers in order to learn how…