Episode Details

The AI Founder Gene: Being Early, Building Fast, and Believing in Greatness — with Sharif Shameem of Lexica

Published 2 years, 10 months ago

Description

Thanks to the over 42,000 latent space explorers who checked out our Replit episode! We are hosting/attending a couple more events in SF and NYC this month. See you if in town!

Lexica.art was introduced to the world 24 hours after the release of Stable Diffusion as a search engine for prompts, gaining instant product-market fit as a world discovering generative AI also found they needed to learn prompting by example.

Lexica is now 8 months old, serving 5B image searches/day, and just shipped V3 of Lexica Aperture, their own text-to-image model! Sharif Shameem breaks his podcast hiatus with us for an exclusive interview covering his journey building everything with AI!

The conversation is nominally about Sharif’s journey through his three startups VectorDash, Debuild, and now Lexica, but really a deeper introspection into what it takes to be a top founder in the fastest moving tech startup scene (possibly ever) of AI. We hope you enjoy this conversation as much as we did!

Full transcript is below the fold. We would really appreciate if you shared our pod with friends on Twitter, LinkedIn, Mastodon, Bluesky, or your social media poison of choice!

Timestamps

* [00:00] Introducing Sharif

* [02:00] VectorDash

* [05:00] The GPT3 Moment and Building Debuild

* [09:00] Stable Diffusion and Lexica

* [11:00] Lexica’s Launch & How it Works

* [15:00] Being Chronically Early

* [16:00] From Search to Custom Models

* [17:00] AI Grant Learnings

* [19:30] The Text to Image Illuminati?

* [20:30] How to Learn to Train Models

* [24:00] The future of Agents and Human Intervention