GPT-3.5, every mention
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every year anyone Dylan Patel 11Alistair Pullen 7Alessio Fanelli 4Damien Murphy 3Vasek Mlejnsky 2Thomas Scialom 2Shawn Wang 2Michael Royzen 2Emily Glassberg Sands 2Andrew Hsu 2
Verbatim, from the transcripts: the passages where GPT-3.5 comes up
Podcast Crossover: AIE, AGI, frontier lab strategy with @matthew_berman and @swyxtv
- ▶ 4:14 Shawn Wang Yeah, um, the ChatGPT, like, GPT-III.V-ish architecture has mostly stayed the same this entire time.
Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
- ▶ 53:07 Doug O'Laughlin GPT, 3.5 or four for me, where there's that first time where you're like, okay,
Brex’s AI Hail Mary — With CTO James Reggio (acquired for $5B by Capital One!)
- ▶ 1:12:54 James Reggio So robust as it is to start realizing this vision, because it's something that we, we kind of dreamt of a couple years ago in the tech, like to your earlier point, the tech just wasn't there when we were trying to make the, make the, a…
AI to AE's: Grit, Glean, and Kleiner Perkins' next Enterprise AI hit — Joubin Mirzadegan, Roadrunner
- ▶ 43:32 Joubin Mirzadegan Um, then GPT, 3.5 comes out and I was like,
The Agents Economy Backbone - with Emily Glassberg Sands, Head of Data & AI at Stripe
- ▶ 2:44 Emily Glassberg Sands We started investing in AI or LLM specific experiences basically when GPT-III.V hit the scene.
- ▶ 49:38 Alessio Fanelli So you mentioned 3.5 was kind of like the moment you took it seriously.
- ▶ 1:11:52 Emily Glassberg Sands You, you and I were talking earlier about, like, when, when GPT, 3.5, I think, like, first hit the scene where, like, oh, everybody at Stripe needs to have access to LLMs, but, like, we don't quite know how to do that in a way that's,…
Breaking AI to Fix It: Ian Webster's Journey from Discord's Clyde to Promptfoo's $18M Series A
- ▶ 2:00 Ian Webster Um, and it, it was in the heyday of like GPT, 3.5.
The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
- ▶ 1:11:39 Nathan Lambert That's like, that's why they haven't released GPT 3.5 or anything, because it's too revealing about internal stuff or plans.
🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
Personalized AI Language Education — with Andrew Hsu, Speak
- ▶ 13:18 Andrew Hsu I guess, like, phase two was really, twenty-twenty-two when LLMs came out, and Whisper came out, and that allowed us to go from this more supplemental speaking practice tool to more full-featured language tutoring where we could use LLMs,…
- ▶ 24:29 Andrew Hsu I think that was the moment that we had been waiting on, and at the same time, LLMs were on the ascendancy, ChatGPT would come out, I think on Thanksgiving of twenty-twenty-two, and 3.5 turbo came out, and I think, like, we kind of…
The AI Coding Factory
- ▶ 4:37 Matan Grinberg You know, the considerations that you're talking about, which is yeah, the models at the time, which I think at the time it was just a 3.5, which was out.
ChatGPT Codex: The Missing Manual
Why Every Agent needs Open Source Cloud Sandboxes
- ▶ 2:53 Vasek Mlejnsky And GPT 3.5 came out like really first model kind of good ish with Cogen. 2 times in the scene
Tiny Teams: $6m ARR, 5m users with 4 employees — Sid Bendre, Oleve (Quizard AI/Unstuck AI)
- ▶ 2:11 Sid Bendre Uh, it was a, it was a compliment, but it was more like we have to now switch to 3.5, which was actually gonna have a cost.
Snipd: The AI Podcast App for Learning — with CEO Kevin Ben-Smith
- ▶ 30:52 Kevin Ben-Smith So we, like, as I mentioned earlier, when we started out, it was before ChatGPT, before the ChatGPT moment, before there was the GPT, 3.5 turbo API.
The AI Architect: Bret Taylor
- ▶ 1:34:34 Bret Taylor And you just saw like every, and I think with these reasoning models, just how we're using sort of inference time compute and.
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ▶ 11:04 Shawn Wang GPT, 3.5 and GT four being 95%.
Agents @ Work: Lindy.ai (with live demo!)
- ▶ 32:02 unnamed speaker Was it a Trippen V?
Building AGI in Real Time (OpenAI Dev Day 2024)
- ▶ 1:11:53 Alistair Pullen This process continues, like even going from, you know, when we first started going from 3.5 to four, we saw this happen.
Building AGI with OpenAI's Structured Outputs API
- ▶ 40:45 Alessio Fanelli And I think we're nearing the end of the 3.5 run RIP.
Is finetuning GPT4o worth it?
- ▶ 11:04 Alistair Pullen Even when, like, you had 3.5 16 K, 16 K suddenly felt huge, because you've gone from four to 16, but even then, 16 K is, like, a lot of Python files are longer than 16 K. 4 times in the scene
- ▶ 13:46 Alistair Pullen I basically had pitched him this idea back when we were doing it on 3.5, 16 K.
- ▶ 19:21 Alistair Pullen Like we had to filter out so much of that stuff because when we first did the, uh, 3.5, 16 K model, like the amount of readme updating that went in, we did like no data cleaning, no real, like.
Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
- ▶ 46:16 Thomas Scialom And there's, like, GPT-FREE.FIVE at the time, and then four. 2 times in the scene
The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
- ▶ 1:00:08 unnamed speaker It's like, how, are you able to, like, call your shots and say, we will beat, we will beat Gypsy, we will beat Gypsy for 3.5. beat Gypsy
This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
- ▶ 7:55 Karan Malhotra It's supposed to drum up this assistant entity regularly, but unlike the, uh, open AI series of models from, you know, 3.5 GPT four, uh, those chat GPT models, which are very, very RLHF
Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI
- ▶ 10:17 Damien Murphy And then GPD, 3.5 turbo or four, you probably get, you know, 400, maybe 600 milliseconds of latency in their hosted API. 3 times in the scene
The AI-First Graphics Editor - with Suhail Doshi of Playground AI
- ▶ 11:46 Suhail Doshi Uh, address bar prediction with like GPT three and three, 3.5 and that kind of thing.
The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
- ▶ 31:22 Dylan Patel oh, you know, this seven billion perimeter model, if you fine-tune it on a data set, it's almost as good as 3.5, right? 7 times in the scene
- ▶ 51:03 Dylan Patel I don't think they can ever do that, but like, you know, frankly, like, I'm sure, I'm sure OpenAI releasing, you know, 3.5 and four has had people like, you know, break jail breaks for the, you know, kind of, uh, old terminology from… 4 times in the scene
Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
- ▶ 34:14 Michael Royzen Some people tried it, but people were leaving because even, like, GPT-III.V, uh, both turbo and non-turbo, like, still not that great.
- ▶ 34:14 Michael Royzen Some people tried it, but people were leaving because even, like, GPT-III.V, uh, both turbo and non-turbo, like, still not that great.
Powering your Copilot for Data - with Artem Keydunov from Cube.dev
- ▶ 32:57 Alessio Fanelli You know, one of the big complaints people have is like, at least three and a half cannot do math. 2 times in the scene