o3, every mention
7 scenes · ← back to o3
tap a year for its mentions
every year anyone Mitch Trojanowski 3Matt Turck 2Francois Chollet 2Yann Dubois 1Mike Knoop 1George Sivulka 1
Verbatim, from the transcripts: the passages where o3 comes up
How to Build Autonomous, Long-Horizon AI Agents | Basis
- ▶ 53:22 Mitch Trojanowski Things have really not changed since oh three, I would say. 3 times in the scene
OpenAI's Yann Dubois: Why AI Progress Suddenly Feels Real
- ▶ 0:44 Matt Turck Five was yet another major milestone in AI, and Yann's team helped build it alongside OpenAI's prior top reasoning models, including O.T.E. and GBT-Five Thinking.
- ▶ 3:11 Yann Dubois The third thing that I, I think we are, uh, feeling is all of last year, uh, we really built, um, like, these reasoning models, and we really, like, sawing, pushing a lot on, on reinforcement learning, and initially when we had, like,…
AI That Ends Busy Work — Hebbia CEO on “Agent Employees”
- ▶ 16:14 George Sivulka How do we actually now, you know, use that or, or run lots of inference like an agent, like OpenAI O three, O four, uh, and all of these kind of more agentic, more reasoning models to actually get better at doing these, these difficult…
Chasing Real AGI: Inside ARC Prize 2025 with Chollet & Knoop
- ▶ 1:25 Mike Knoop We've got a bunch of like test time adaptation methods that came out of ARKPrize, then we got this big set of evidence from O-three going into ARKPrize, and we're excited to see
- ▶ 3:59 Francois Chollet Um, and there was a shift towards, uh, instead doing, uh, uh, test time adaptation, particular test time search, which is what you see in a model like, for instance, O-three, uh, or O-one-pro. 2 times in the scene
- ▶ 8:04 Matt Turck And, uh, maybe as a, as a, as a preview, we'll, we'll talk about this in a, in a second, but, uh, LLMs, uh, up until oh three, and we'll talk about this.