AI-native startups aren’t just using artificial intelligence — they’re built around it. In this episode, we dive into what sets these new companies apart: faster iteration cycles, minimal headcount, API-first models, and entire products built on top of foundational models. We explore how this new breed is reshaping competition, funding dynamics, and product design — and why legacy players might struggle to keep up. The AI-native era is here. Are we ready?

What if warfighters could train against an AI that learns, adapts, and thinks like a real adversary? In this episode, we explore how artificial intelligence is revolutionizing military training — from hyper-realistic battlefield simulations to adaptive virtual opponents that evolve with every engagement. These AI-powered environments offer faster feedback loops, scenario diversity, and cost-effective preparation. But are we training soldiers for the future — or building systems we can’t fully control?

How do robots learn to walk, fly, or adapt in the real world? The answer lies in reinforcement learning — an AI training method inspired by trial, error, and reward. In this episode, we explore how reinforcement learning is powering the next generation of intelligent robotics, from autonomous drones to agile humanoids. With each iteration, machines are learning to make decisions in unpredictable environments — but what happens when they start to learn faster than we can track?