OpenAI's inaugural DevDay sparked excitement in the AI community, with several product releases and ChatGPT hitting the milestone of reaching 100M weekly active users. On this week’s episode of Unsupervised Learning, we sat down with the Head of Developer Relations at OpenAI, Logan Kilpatrick. Logan shared with us how OpenAI prioritizes product builds internally, the interesting use cases he's seen for several OpenAI products, where OpenAI is headed, and what the Gemini release means for the ecosystem.

(0:00) intro

(0:33) how Logan uses ChatGBT

(1:36) underrated OpenAI products

(6:08) when is using GPT-4 necessary?

(7:22) custom GPT models

(9:05) are we at peak need for custom models in 2024?

(11:45) how does OpenAI prioritize products

(13:31) OpenAI’s text-to-speech model

(14:31) benefits of using open-source models

(21:00) what kind of company would Logan start if he left OpenAI?

(23:40) Google Gemini

(24:41) assistants API

(30:00) the need for a text-first AI-assistant experience

(35:18) putting limitations on agents

(42:18) the future of DALL-E and art generation

(48:00) over-hyped/under-hyped

(48:30) rare disappointments for OpenAI

(49:25) surprise successes for OpenAI

(50:03) how has OpenAI’s team developed?

(58:22) debrief with Pat

With your co-hosts: 

@jacobeffron 

- Partner at Redpoint, Former PM Flatiron Health 

@patrickachase 

- Partner at Redpoint, Former ML Engineer LinkedIn 

@ericabrescia 

- Former COO Github, Founder Bitnami (acq’d by VMWare) 

@jordan_segall 

- Partner at Redpoint