GPT-4, every mention

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Verbatim, from the transcripts: the passages where GPT-4 comes up

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▶ 4:05 Nick Turley I think things like revenue, they follow from that, um, versus like, you know, trying to go on those things directly, and we've, we've had a lot of success making very principled decisions, um, on this stuff, like, one good example is, you… 2 times in the scene
▶ 9:26 Nick Turley And then another third of the growth has been, you know, it's just model improvements, like both step changes, like going from, um, GPT 3.5 back then to GPT four, then going from GPT four behind a paywall to four O suddenly available to…
▶ 29:00 Nick Turley Then we figured out how to make the product stable, and we had the choice of do we keep the subscription thing, or do we go back to free, and we realized we had consistently more tech that we couldn't scale, GPT-IV being the first example,… 2 times in the scene
▶ 59:11 Nick Turley Um, a few weeks or so after I joined OpenAI GPT-IV had finished training, and I remember trying it out, and it actually 3 times in the scene

▶ 34:20 Satya Nadella Uh, Bill was kind of rightfully so skeptical because, and then he became like, once he saw the GPT-IV demo, like that was like the thing that Bill talked about publicly, where, uh, when he saw it, he said, it's the best demo he saw after,…

▶ 1:03:18 Olivier Godman Like, I remember when we shipped, like, DP for Turbo, like, a year ago, a year and a half ago, we were terrified by, you know, like, the instance of traffic, and I feel we've really gotten, like, much better at, you know, shipping, like,…
▶ 1:06:55 Sherwin Wu Um, but at the time, GPT-IV already existed internally. 6 times in the scene

▶ 7:54 Brad Gerstner So you go back to GPT-IV, you know, and you're compressing, you know, the entire internet.

▶ 8:54 Dylan Patel You look at, you know, today's leading-edge models like GPT-IV was, you know, over a trillion parameters, right?
▶ 16:36 Dylan Patel GPT-IV, IV, IV-O, you know, IV-O mini, and now, you know, the reasoning, yeah, the reasoning models, um, O-one and, yeah, so, so it's like they're, they're deploying very few models, um, and those change, what, every six months, right?
▶ 32:00 Dylan Patel Because scaling X from four,
▶ 45:18 Dylan Patel GPT-IV was trained with hundreds of billions of dollars. 4 times in the scene
▶ 59:04 Dylan Patel A lot of people can use GPT-IV.

▶ 5:18 Sundeep Madra You get probably on, from a GPT-IV, you're more than 10 times cheaper. 2 times in the scene

▶ 17:19 Brad Gerstner Um, but Sam, I think referenced that, you know, the step forward in ChatGPT five versus four is at least as big as four versus three.
▶ 1:00:49 Brad Gerstner Like the difference between, I don't know, maybe, uh, chat TPT four and chat TPT three is a huge differential in price.

▶ 28:58 Brad Gerstner Um, you know, and Gemini 1.5 about a, you know, chat GPT four level. 4 times in the scene

▶ 23:16 Brad Gerstner I think, you know, a lot said in a tweet yesterday, we're going to have four or five companies that hit chat GPT four level this year with their models.

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