Open-source vs. frontier AI is usually a theoretical debate.

@DataCamp has to make that choice in production - while building an AI-native tutor for a platform serving more than 19 million learners.

My co-founder Peter and I sat down with DataCamp Co-Founder and CEO @CornelissenJo and Chief AI Officer Yusuf Saber to discuss:

– which models actually work in production – whether open models are really 10x cheaper – hidden infrastructure and engineering costs – caching, latency, quality, and hallucinations – privacy, data residency, and vendor lock-in – what open models still cannot do

A genuinely practical conversation about what happens when AI leaves the demo and meets real users, real costs, and real failure modes.

Full interview down below + YouTube in comment section