GPT-3.5, every mention
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tap a year for its mentions
every year anyone Sal Khan 2Guido Appenzeller 2Ben Horowitz 2Arthur Mensch 2Steph Smith 1Sherman Wu 1Sarah Wang 1Sam Altman 1Jeff Schmidt 1Christina Kim 1
Verbatim, from the transcripts: the passages where GPT-3.5 comes up
The AI Opportunity that goes beyond Models
- ▶ 4:10 Alex Rampell Like, GPT, 3.5, pretty good.
How OpenAI Builds for 800 Million Weekly Users: Model Specialization and Fine-Tuning
- ▶ 25:29 Sherman Wu And, um, uh, but it is interesting because I think it's a slightly different world that we're in now where the models have gotten really, really good at instruction following relative to the, you know, like GB three, five or something.
Amjad Masad & Adam D’Angelo: How Far Are We From AGI?
- ▶ 7:31 Amjad Masad In the, in the true pre-training scaling era, you know, GPT-II, three, 3.5, maybe up to four, um, it, it felt like you, you can just, uh, put more internet data in there and just, it just got better.
Sam Altman on Sora, Energy, and Building an AI Empire
- ▶ 12:54 Sam Altman But the amount of progress, like if you went back and used GPT, 3.5 from ChatGPT launch, you'd be like, I cannot believe anyone used this thing.
GPT-5 and Agents Breakdown – w/ OpenAI Researchers Isa Fulford & Christina Kim
- ▶ 19:37 Sarah Wang Do you think the jump from GPT four to five was bigger, or three to four, or maybe three and a half to four?
- ▶ 20:07 Christina Kim Maybe I'm biased, recency biased, but I think to jump to four to five is most impressive for me, because I guess with 3.5 when we first released it, the most common use case for me then also was still just for coding.
Building the Next Generation of Conversational AI
- ▶ 1:12:43 Anjney Midha And the kinds of things I'm hearing you say are very similar to what people were saying about like GPT, 3.5 in ChatGPT.
How to use DeepSeek safely
- ▶ 4:56 AI Security Researcher Like qualitatively, what, what we see is performance on par with GPT 3.5, which is to say, you know, in 2023, when open AI launched GPT, there were, uh, there were a bunch of like zero day, really simple jailbreaks and deep seek is…
Marc & Ben on AI Policy, Safety, Censorship & Unexpected Risks
- ▶ 24:34 Ben Horowitz And if you look at like the improvement from GPT, uh, two point O to GPT three to 3.5, and then compare that from like 3.5 to four, you know, we've really slowed down in terms of the amount of improvement. 2 times in the scene
The Quest for Community-Trained Open Source AI Models
- ▶ 17:40 Jeff Schmidt So the early models, especially cheap, like CHEP, GPT, 3.5 were trained through tons and tons of like human data.
The Top 100 GenAI Consumer Apps
- ▶ 4:17 Steph Smith Well, that's actually fascinating because, I mean, the, the models do differ in performance, but for the average consumer, can, can you actually tell if it's 3.5 or four?
Safety in Numbers: Keeping AI Open
- ▶ 18:13 Arthur Mensch So mixed trial is as similar performance to GPT, 3.5. 2 times in the scene
Chasing Silicon: The Race for GPUs
- ▶ 14:15 Guido Appenzeller So the, the really small open source models that we're seeing out there today, they're not yet at a level of a GPT, 3.5 or GPT four. 2 times in the scene