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