Dr. Jason Corso joins Charna Parkey to debate the critical role of data quality, how its transparency shapes AI development and the rise of smaller, domain-specific AI models - making 2025 the year of small, specialized AI.

QUOTES

Charna Parkey

"Knowing the right data is incredibly important, because it'll save you money, but predicting the impact of that data means that you don't have to do the training at all to even directionally know if it's going to work out, right?"

Jason Corso

"You can't understand and analyze an AI system in the way you can analyze open source software if you don't have access to the data."

Timestamps

[00:00:00] - Introduction

[00:02:00] - Jason Corso’s journey on open source

[00:08:00] - The importance of data in AI

[00:10:00] - Voxel 51's mission

[00:14:00] - The value of open source and the importance of data in AI systems

[00:20:00] - Recent discoveries in AI

[00:28:00] - The cost of training AI models

[00:36:00] - Cooperative AI in healthcare

[00:40:00] - Charna Parkey on the impact of AI in education

[00:56:00] -The year of small AI

Cooperative Systems, Data Transparency & Quality and the Year of Small AI | Dr. Jason Corso