OpenAI O3
product on 21 shows · 9 statements across 8 episodes · said 254 times in 107 episodes since 2024
Latent Space 51 
Big Technology 49 
TBPN 38 
the MAD Podcast 22 
the Y Combinator Startup Podcast 20 
No Priors 18 
the a16z Podcast 12 
BG2 Pod 7 
Lenny's Podcast 6 
the Startup Ideas Podcast 6 
the Knowledge Project 5 
All-In 4 
20VC 4 
Cheeky Pint 3 
We Live to Build 2 
My First Million 2 
Sourcery 2 
In Depth 1 
BigDeal 1 
WTF is with Nikhil Kamath 1 
the Official SaaStr Podcast
Mentions by year, every show
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Latent Space 51Big Technology 49TBPN 38the MAD Podcast 22the Y Combinator Startup Podcast 20No Priors 18the a16z Podcast 12BG2 Pod 712 more shows
2026 23 mentions in 12 episodes 2 per episode
- How to Build Autonomous, Long-Horizon AI Agents | Basis
- OpenAI President Greg Brockman: Our Plan To Merge Chat And Agents
- 🔬How GPT‑5 derived new results in theoretical physics and quantum gravity — Alex Lupsasca, OpenAI
- Big Technology AI Summit (full): Greg Brockman, Mike Krieger, Aaron Levie & Friends of The Podcast
- Recursion Is The Next Scaling Law In AI · Y Combinator
- François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
- AI Revenue Explodes, Dario’s Memo, McDonalds’ CEO’s Baby Burger Bite
- The End of SWE-Bench Verified — Mia Glaese & Olivia Watkins, OpenAI Frontier Evals
- 4 more episodes that year, every mention in 2026 →
2025 219 mentions in 92 episodes 2 per episode
- No Priors Ep. 113 | With OpenAI's Eric Mitchell and Brandon McKinzie
- Chasing Real AGI: Inside ARC Prize 2025 with Chollet & Knoop
- Is OpenAI's o3 Model AGI? Is AI The New Social Media? Zuck's Revealing Testimony
- Dwarkesh Patel: AI Continuous Improvement, Intelligence Explosion, Memory, Frontier Lab Competition
- The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
- Scaling Test Time Compute to Multi-Agent Civilizations — Noam Brown, OpenAI
- [State of RL/Reasoning] IMO/IOI Gold, OpenAI o3/GPT-5, and Cursor Composer — Ashvin Nair, Cursor
- Dylan Patel on GPT-5’s Router Moment, GPUs vs TPUs, Monetization
- 84 more episodes that year, every mention in 2025 →
every mention on every show, scene by scene, with the transcript →
9 statements about OpenAI O3, every show
Trojanowski: OpenAI o3 proved post-training improves per-token reasoning quality
“And then I think after a one, it was oh three, because I think oh three helped prove that not only could you scale the amount of reasoning at inference time, but with better training, with more compute, better data, et cetera, in the post-training phase, you c…”
Swix: OpenAI Deep Research was built by three people as an o3 wrapper
“As far as I know, it's three people did it. It was Isa and like the two other collaborators that she had. I don't know if they did that much on top of all three, like every indication I've had from over the eye is that deep research is more or less a thin wrap…”
Levie: Upgrading to reasoning models instantly replaces a year of custom scaffolding
“The amount of work you would have to do to pack into, let's say, a non-reasoning model for giving it exactly the right sort of context, instructions, kind of hacking and tool use, versus today, just having O-Tree go do that, or having the new Lama IV go and do…”
Brown: Reasoning models improve primarily through compute efficiency rather than longer thinking duration
“These models are becoming more efficient in the way they're thinking, as they're able to do more with the same amount of test time compute, and I think that's a very underappreciated point, that it's not just that we're getting these models to think for longer…”
Patel: Reinforcement learning 10x compute scaling can only continue for a year
“So already within the course of six months. RL compute has 10 X. That pace can only continue for a year, even if you build up all the RL environments before it's, you know, you're like, you've, you're at the frontier of training compute for these systems overa…”
Programmatic tools beat end-to-end image generation for multimodal reasoning
“Where I think for a while some people were, like, speculating, like, oh, what if you have the model, like, generate images in its chain of thought reasoning where everything is, like end-to-end multimodal input and output, and it seems like you don't really ne…”
Will Brown: OpenAI o3 succeeds because reinforcement learning enables tool use
“The reason O-three is good is because it's trained to use tools. The way you train a model to use the right tool for the job is reinforcement learning. And they've said as much, like, deep research, reinforcement learning.”
Chollet: OpenAI o3 is the most advanced test-time adaptation model
“And OSTRI best I can tell is the most advanced the most successful test and adaptation model out there at this time.”
Chollet: OpenAI o3 cost $10k–$20k per ARC puzzle on maximum compute
“For instance OpenAI O.S. On the highest compute settings that we tried it on for Arc, it was consuming somewhere between, like, 10,000 dollars to 20,000 dollars per task, like, for one little puzzle, which you could normally solve with a base of an API for a f…”