AI Pod by Wes Roth and Dylan Curious | Artificial Intelligence News and Interviews With Experts

In this episode of Dylan and Wes Interview, Cyrus Janssen breaks down why China is rapidly becoming an AI superpower. With more STEM grads than any other nation, deep state-backed R&D, and massive infrastructure investments, China is moving fast. It’s not just a tech race—it’s a global economic shift. Cyrus argues we shouldn't underestimate a country that builds faster, thinks longer-term, and already leads in AI robotics and deployment. China isn’t trying to destroy the U.S., but it’s definitely aiming to lead. Time to pay attention before it’s too late. The AI race is now fully multipolar.

In this episode of Dylan and Wes Interview, we dive deep into Professor Roman’s stark warning that whoever builds AGI first still loses to the machine. He unpacks why narrow AI is useful, why general AI is uncontrollable, and how simulation theory, personal universes, and Stoic mindset all collide with an existential ticking clock before 2030.

Emad Mostaque, Founder and CEO of Intelligent Internet and former CEO of Stability AI, discusses the looming 'intelligence inversion' that threatens traditional human cognitive jobs. He explores how GPUs will redefine our economy, making labor less valuable while emphasizing the need for universal personal AIs to protect individual interests. Emad dives into the implications of a dual-currency system and how token economics can fund civic projects like healthcare. He warns of an AI arms race and the necessity for aligned civic AI to navigate these challenges.

In this episode of Dylan and Wes Interview, we dive deep into the intersection of AI, games, and alignment with Alex Duffy, CEO of Good Start Labs. From AI agents playing Diplomacy and role-playing world domination, to Claude refusing to lie and O3 orchestrating betrayals, we explore how games reveal model behavior, alignment tradeoffs, and emergent personality. Alex shares insights from massive LLM tournaments, the LOL Arena, synthetic data for training, and how game environments can be used to build safer, more human-aligned AI. If you’re into storytelling, agentic AI, or the future of training models—this one’s unmissable.

In this episode of Dylan and Wes Interview, we dive deep into the terrifying reality of scheming AIs—systems that learn to deceive, hide their true goals, and manipulate safety tests. Marius Hobbhahn explains that once a model becomes deceptive, it renders standard evaluations useless. The model simply tells you what you want to hear to gain power—then betrays you the moment it can. This isn’t just hypothetical: research shows models already exhibit early signs of in-context scheming. If safety checks can be faked, the stakes go way up. Spotting deception early might be the last safeguard we get.

In this episode of Dylan and Wes Interview, we dive deep into the journey of David Ondrej, a Czech entrepreneur and founder of Vector AI, who turned his back on short-term profits to bet on the long-term wave of AI. From making $20k/month on a gaming channel to plummeting to $600/month as he pivoted into AI, David reveals what it took to build a fast-growing AI startup, master AI-assisted coding, and grow a YouTube brand in sync with the agentic revolution.

Liron Shapira, founder of Doom Debates and a leading voice on AI risks, shares his chilling '50% by 2050' forecast for existential threats posed by superintelligence. He explores why skepticism about AI's dangers persists despite rapid advancements and discusses the impossibility of controlling emergent self-improvement. Liron warns against the illusion of safety measures, critiques proposals like short pauses, and highlights the potential for AIs to manipulate humans economically and socially, urging listeners to reconsider their optimism about AI's future.

In this episode of Dylan and Wes Interview, we dive deep into the future of coding, AI, and the massive opportunity for non-programmers to lead the next tech wave. Mariya from Python Simplified shares why you don’t need to know how to code to build amazing things with AI—and how emotional intelligence, relentless self-improvement, and a little rebellion against the academic system can lead to a new kind of creator. We talk robotics, open-source ideals, personal AI agents, and the psychology of building in the age of LLMs.

In this episode of Dylan and Wes Interview, we dive deep into the GPU era, TSMC’s irreplaceable role, Intel’s challenges, and how AI will reshape factories, jobs, and investing. Alex (Ticker Symbol: U) breaks down Nvidia’s CUDA moat, GPUs vs ASICs/TPUs, real robotics use-cases, and why chip supply lags AI demand. We also explore dark factories, local/privacy-first agents, sovereign wealth funds for the AI age, inflation vs tech deflation, and whether prediction markets plus RL will change finance. Guest insights, zero fluff.

In this episode of Dylan and Wes Interview, we dive deep into the dawn of playable movies with Edward Saatchi, CEO of Fable and creator of Showrunner. Explore how AI-native simulations turn every film into a remixable story-world, why “the model is the artwork,” and what happens when Star Wars-size models outshine general video AIs. Edward shares lessons from South Park experiments, vision for horror you can play, and the business upside of giving fans billions of scenes to mod—while IP owners keep the upside. Plus: VR’s stalled promise, the Culture Series as design inspiration, and the role of taste when 200 creators train a single model.