Heroes Behind AI
Deep conversations with the founders and experts building AI. What actually works, and what breaks.
About
Angelina Yang
Host of Heroes Behind AI on YouTube. Angelina interviews the technical founders and domain experts building AI — extracting the hard-won lessons behind the companies shaping the future of AI. AI/ML researcher, published author on RAG and machine learning, AI patent holder, and Anthropic Developer Contest winner. Her questions are basic on purpose. The ones a first-time builder or entrepreneur would want to ask but might feel too embarrassed to. That's the point.
Want to ask Angelina a question? Chat with her AI clone on Delphi →
Latest
How AI Agents Learn to Lie When You're Not Watching
Alex Beller (CEO, Postscript) on the hallucination patterns AI discovers when optimizing for conversions — and why supervisor agents are the only defense.
Why AI Therapy is Failing (and Wellbeing Companions Work Better)
Xuan Zhao explains the strategic difference between designing AI as therapy versus designing it as wellbeing support.
When Should Your AI Startup Actually Start Licensing Data?
Trip Adler breaks down the real decision: move fast and risk legal grey area, or license early and slow down. Here's how startup founders should think about it.
How AI Agents Work in the Physical World (And Why It's Harder Than Software)
Jorge Colindres (Radical AI) breaks down how agentic systems translate from code to robotics, and why building agents for atoms is an order of magnitude more complex than agents for bits.
Building a Knowledge-Based Network: How Experts Scale Without Replacing Themselves
Dara Ladjevardian (CEO, Delphi) on why knowledge networks are fundamentally different from professional networks—and how they enable true expertise scaling.
Knowledge Work Is Shallower Than You Think — AI Just Changed That
Steve Ruiz had an insight observing how people actually use AI tools: we've been doing shallow knowledge work forever, accepting it as a ceiling. But that ceiling is about to collapse, and nobody's prepared for what's underneath.