OpenAI o3

part of OpenAI

3 statements across 2 episodes · 2 bullish · 0 bearish · 2 people on the record · first statement Apr 3, 2025 by Francois Chollet · said 22 times in 6 episodes since 2025 · across every show →

Mentions by year

brought up most by Matt Turck (12), Mitch Trojanowski (3), Francois Chollet (3), Jeremy Howard (2), Mike Knoop (1), Gaurav Misra (1)

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2026 4 mentions in 2 episodes 2 per episode
2025 18 mentions in 4 episodes 5 per episode

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Everything said about OpenAI o3, oldest first

Apr 3, 2025 positive
Opinion
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.”
Francois Chollet Apr 3, 2025 ▶ 17:53 Chasing Real AGI: Inside ARC Prize 2025 with Chollet & Knoop
Apr 3, 2025 neutral
Assertion Not checkable as stated
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…”
Francois Chollet Apr 3, 2025 ▶ 20:00 Chasing Real AGI: Inside ARC Prize 2025 with Chollet & Knoop
Aug 5, 2026 positive
Insight
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…”
Mitch Trojanowski Aug 5, 2026 ▶ 16:40 How to Build Autonomous, Long-Horizon AI Agents | Basis
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