Episode Details

We’re so glad to launch our first podcast episode with Logan Kilpatrick! This also happens to be his first public interview since joining OpenAI as their first Developer Advocate. Thanks Logan!

Recorded in-person at the beautiful StudioPod studios in San Francisco.

Full transcript is below the fold.

Timestamps

* 00:29: Logan’s path to OpenAI

* 07:06: On ChatGPT and GPT3 API

* 16:16: On Prompt Engineering

* 20:30: Usecases and LLM-Native Products

* 25:38: Risks and benefits of building on OpenAI

* 35:22: OpenAI Codex

* 42:40: Apple's Neural Engine

* 44:21: Lightning Round

Show notes

* Sam Altman’s interview with Connie Loizos

* OpenAI Cookbook

* OpenAI’s new Embedding Model

* Cohere on Word and Sentence Embeddings

* (referenced) What is AGI-hard?

Lightning Rounds

* Favorite AI Product: https://www.synthesia.io/

* Favorite AI Community: MLOps

* One year prediction: Personalized AI,

https://civitai.com/

* Takeaway: AI Revolution is here!

Transcript

[00:00:00] Alessio Fanelli: Hey everyone. Welcome to the Latent Space podcast. This is Alessio, partner and CTO in residence at Decibel Partners. I'm joined by my cohost, swyx writer editor of L Space Diaries. Hey.

[00:00:20] swyx: Hey . Our guest today is Logan Kilpatrick. What I'm gonna try to do is I'm gonna try to introduce you based on what people know about you, and then you can fill in the blanks.

[00:00:28] Introducing Logan

[00:00:28] swyx: So you are the first. Developer advocate at OpenAI, which is a humongous achievement. Congrats. You're also the lead developer community advocate of the Julia language. I'm interested in a little bit of that and apparently as I've did a bit of research on you, you got into Julia through NASA where you interned and worked on stuff that's gonna land on the moon apparently.

[00:00:50] And you are also working on computer vision at Apple. And had to sit at path, the eye as you fell down the machine learning rabbit hole. What should people know about you that's kind of not on your LinkedIn that like sort of ties together your interest

[00:01:02] Logan Kilpatrick: in story? It's a good question. I think so one of the things that is on my LinkedIn that wasn't mentioned that's super near and dear to my heart and what I spend a lot of time in sort of wraps a lot of my open source machine learning developer advocacy experience together is supporting NumFOCUS.

[00:01:17] And NumFOCUS is the nonprofit that helps enable a bunch of the open source scientific projects like Julia, Jupyter, Pandas, NumPy, all of those open source projects are. Facilitated legal and fiscally through NumFOCUS. So it's a very critical, important part of the ecosystem and something that I, I spend a bunch of my now more limited free time helping support.

[00:01:37] So yeah, something that's, It's on my LinkedIn, but it's, it's something that's important to me. Well,

[00:01:42] swyx: it's not as well known of a name, so maybe people kind of