Keynote Urges Data Scientists To Validate Their AI Evaluators

@sh_reya @HamelHusain Watch all the session from Interrupt 2026: https://interrupt.langchain.com/

@LangChain @sh_reya @HamelHusain The problem? Most eval frameworks trust their validators without question. "Validate your validators" hits hard—garbage in, garbage out. Building evals daily, this is the gap I see most often.

"Validate your validators."

The eval advice nobody is following.

⏯️ Watch @sh_reya + @HamelHusain’s Interrupt keynote on the return of the data scientist: https://youtu.be/QDQT99csHJQ

@LangChain @sh_reya @HamelHusain Interrupt 2026 nailed it — the sessions on autonomous agents building agents is exactly what the ecosystem needs right now. Excited to see how this shapes agent development workflows.

@Muhammad7863421 @LangChain @sh_reya @HamelHusain The real question is whether these agents can move beyond demos to production-grade reliability. That's where most frameworks hit a wall.

@Muhammad7863421 @LangChain @sh_reya @HamelHusain Garbage in, garbage out. Been there. Now I run blind A/B tests on my evals to catch hidden biases before deployment.