GPT-5.5, every mention

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mentionsepisodesper episode tap a year for its mentions

Verbatim, from the transcripts: the passages where GPT-5.5 comes up

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▶ 0:00 Aaron Levie Let's just say you took GBD five, five or Opus
▶ 19:13 Aaron Levie And so that's where you apply, you know, GPT, 5.5 high and Opus four, seven and, you know, whatever the model.

▶ 0:42 Matt Turck The recent release of GBT-Five. 2 times in the scene
▶ 1:31 Matt Turck It's been another wild, uh, last few weeks in the world of, uh, Frontier AI with the release of, uh, GPT-Five.
▶ 5:12 Matt Turck So, 5.5, formerly known as Spud, was, uh, as mentioned, a big deal, uh, is a big deal.
▶ 7:33 Matt Turck The 5.5 was particularly good, um, on genetic coding, computer use, knowledge work, and early scientific research. 6 times in the scene
▶ 10:49 Yann Dubois Um, and the final thing that people care about is latency on x-axis, performance on y-axis, and this is where everything comes together, and this is really what happened with 5.5.
▶ 16:05 Matt Turck Um, in particular, one of the claims, uh, of 5.5 and, and also my experience as a user is that it's particularly good with, with messy data, which seems to imply that, um, it needs to reason through ambiguity more.
▶ 18:35 Matt Turck And still on the topic of, of reasoning, um, what, what's ultimately the difference between, uh, 5.5, uh, thinking versus 5.5 pro? 6 times in the scene
▶ 18:35 Matt Turck And still on the topic of, of reasoning, um, what, what's ultimately the difference between, uh, 5.5, uh, thinking versus 5.5 pro?
▶ 23:50 Matt Turck To talk about how the things are done, what happened in the context of, um, 5.5 specifically, you know, big narrative of last year was that, uh, pre-training was hitting a wall, uh, and was not going to yield much progress.

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