← Front page

Training Data · Tuesday, August 4, 2026

Chai Discovery's Multi-Disciplinary Team Drives AI Innovation

Chai Discovery emphasizes a pragmatic approach to building a team that combines diverse expertise, including AI researchers, chemists, biologists, and product engineers. Co-founder Josh highlighted his background in AI from OpenAI, focusing on the question of whether AI could learn DNA and protein languages like it learned human languages. The company believes this interdisciplinary synergy is crucial for advancing AI in drug design.

personJoshpersonMattcompanyChai DiscoverycompanyOpenAI

The tape

3 quotes
So like, I think people like when they start going into the field, they're like, oh man, what's an antibody? What's a mini protein? What are all these like sequences of amino acids?
Matt
Um, so it was on on the early team there. It was a nonprofit back then. So it was a, pretty good time to be there. We did GPT1, GPT2 scaling laws.
Josh
Um, and it was the question was like if the models can learn just speak English, German, French, why can't they learn to speak DNA and protein?
Josh
Heard on Training Data — “Chai Discovery's Bitter Lesson: Drug Design Is Another Scaling Problem, published Tuesday, August 4, 2026. Heardvine summarizes and quotes with attribution and timestamps, and links to the original everywhere.
Transcribed via Gemini audio transcription · $0.03
Chai Discovery's Multi-Disciplinary Team Drives AI Innovation — Heardvine