Welcome to LuminaTalks. In Good Company, Your Shot of Tech Dopamine!

We're at war. Not with bullets, but with data, compute, and dependency. Right now a small group of tech CEOs in the United States effectively control the infrastructure the entire world runs on. In this very special episode I sat down with Raf Lefever and honestly, some of the stuff we talked about here kept me up at night thinking about it.

AI is no longer just generating answers. It’s executing tasks, using tools, interacting with other agents, and operating with autonomy.

Modern startups are being built with smaller teams, higher profitability, and radically different operating models. Yet Europe is falling behind in tech adoption, and how automation and AI are already influencing investment decisions long before a founder walks into a room. Why?

We unpack why traditional, checkbox-driven AI compliance is breaking down, and why governance can no longer live in policies, audits, or PDFs. As AI systems scale faster than regulation, enterprises are being forced to rethink compliance as an engineering problem, not a legal one. This episode goes deep into how AI governance must shift from documentation to execution.

We explore the ethics, tech and governance of AI agents, from VR neuro-rehab to delegation, identity, and whether agents can (or should) act on our behalf.  We are entering the era of agentic AI: autonomous systems that don’t just execute instructions but represent you in decisions, negotiations, and even relationships.

Kai Zenner - one of the key minds shaping Europe’s AI policy - sat down with me for a real, no-BS conversation about how the AI Act might actually strengthen founders instead of slowing them down.

What if Europe had one single system to start, fund, and scale startups? In this special episode, Greta Koch (European Parliament) and Iwona Anna Biernat (Project Europe) join host Kevin De Pauw to unpack the vision behind EU-INC! The  “28th regime” designed to unify European company law and accelerate innovation.

Over 90% of AI models on HuggingFace can be exploited — and most companies have no idea. :octagonal_sign: In this episode, Cisco’s Hyrum Anderson reveals the hidden payloads, low-effort attacks, and real-world exploits that are already reshaping the AI supply chain security landscape — plus what you can do right now to stay safe.

Everyone’s chasing the next big thing in AI—but behind the flashy demos, most projects stall out before they scale. :octagonal_sign: This episode cuts through the noise to unpack the real-world roadblocks of deploying machine learning—and how MLOps and LLMOps can actually fix them. From technical trade-offs to cultural disconnects, we explore what separates experimental hype from operational success.

Nearly 80% of AI projects never reach production, and most teams don’t even know why. :exploding_head: In this episode, we dive into the messy reality of MLOps, LLMOps, and what it really takes to turn experiments into business value. Expect honest war stories, actionable insights, and a clear roadmap for making your models actually work.

What happens when AI starts to shape how we learn, live, and connect — without questioning its values? From value-driven design to responsible AI companions, we explore the hard questions about AI’s ethical limits, long-term sustainability, and how to stay human in an increasingly automated world.

In this episode, we dive deep into IBM’s open-source Agent Communication Protocol (ACP), the technology many are calling the "HTTP for AI agents." Imagine AI agents that can reason, interact, and teach each other asynchronously, all while maintaining digital trust and compliance by design.