Advertise on podcast: AI Pod by Wes Roth and Dylan Curious | Artificial Intelligence News and Interviews With Experts

In this episode of Dylan and Wes Interview, we dive deep into why Lee Cronin says today's "AI" is a powerful tool, not a mind. He argues doomsday AGI stories lack a mechanism, while the real risks are fake people, poisoned data, and manipulation. We unpack his idea that causation is "memory" in the universe, selection is a force like gravity, and life is "complex stuff at scale" (assembly theory). Then we map intelligence as evolution -> sensing -> memory -> consciousness -> imagination -> free will, and why curiosity is the safe balance between exploration and exploitation for survival.

Andon Labs tests AI autonomy by letting agents run businesses in messy reality with real customers, consequences. In VendingBench, an agent starts with $500 and an empty vending machine, researches trends and suppliers, emails wholesalers, restocks, tracks sales, and iterates for profit. When deployed at Anthropic, humans red-teamed it with sob stories, discount demands, and bizarre requests like tungsten cubes, triggering “bank runs” of freebie seekers. Long histories caused drift and hallucinations, including dramatic escalations and invented security reports. Multi-agent supervisors often amplified each other into hype or doom. Better tools and memory compression help, but long-horizon planning stays fragile.

In this episode of Wes and Dylan Interview, we dive deep into Avi Loeb’s bold idea that humanity may soon meet a cosmic neighbor whose wisdom dwarfs ours, reshaping belief itself. Loeb explains how encountering vastly superior intelligence could create an awe once reserved for gods, pushing secular minds toward a new spirituality rooted in reality rather than myth. The conversation explores how traditional doctrines might seem parochial beside undeniable evidence of a civilizational older sibling dwelling among the stars. Prepare to rethink religion, humility, and humanity’s place in the universe after listening to this mind-stretching exchange beginning to end.

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.

In this episode of Dylan and Wes Interview, we dive deep into the coming “intelligence inversion” with Emad Mostaque, founder of Intelligent Internet and former CEO of Stability AI. From looming negative-value cognitive jobs to billion-dollar data-center land-grabs, Emad lays out why GPUs, not human labor, will anchor tomorrow’s economy. He explains how plunging token costs push intelligence toward “too cheap to meter,” why universal personal AIs must defend our interests, and how a dual-currency world could fund civic compute for healthcare, education, and social safety nets. We explore the thousand-day countdown to workforce disruption, the math that dooms tax-funded UBI, and the promise of token-based systems that reward people simply for being human. Emad shares inside chatter from tech billionaires stockpiling servers, sketches an AI-driven “Star Trek” abundance scenario, and warns of an arms race where compute equals power. Along the way we tackle simulation theory, latent-space economics, and the eerie elegance of generative-AI equations that may mirror the fabric of reality itself. Whether you’re a policy maker, startup founder, or just AI-curious, this conversation will challenge how you think about work, value, and humanity’s place in an automated future. Hit play to find out why a self-driving, self-programming world is closer and weirder than you think.

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.

In this episode of Dylan and Wes Interview, we dive deep into the stark question of whether super-intelligence spells the end for humanity. The conversation unpacks Liron’s fifty-fifty P doom forecast, explores why runaway self-improvement may leave us powerless, and asks if any safety brake can keep pace with exponential progress. You will hear vivid analogies that make abstract risks feel real, from baby tigers that outgrow every fence to armies of AI-hired humans pushing unseen agendas. The trio also wrestles with economic upheaval, defensive acceleration, and the China-US race, all while challenging listeners to examine their own optimism. Tune in for an unfiltered look at the stakes behind today’s AI breakthroughs and tomorrow’s existential choices.

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.

In this episode of Dylan and Wes Interview, we dive deep into the coming era of AI-driven abundance—where anyone can become a world-class expert by simply learning to “talk” to computers. Tech Diver explains why you must zoom out, spot the massive opportunities hidden inside today’s tectonic tech shifts, and embrace tools that multiply your creativity and productivity. We explore the idea that we’re already living in a Zuckerberg-style simulation, debate Elon Musk’s provocative “time-machine” vision, and reveal practical hacks for turning futuristic concepts into everyday wins. Tap in, level up, and ride the exponential wave!

In this episode of Dylan and Wes Interview, we dive deep into how Max built a fully playable AI-powered language learning game—without writing a single line of code. Using “vibe coding,” GPT-5, Cursor, and Suno, Max crafted a roguelike deck-builder that teaches Swedish through monster battles, sentence puzzles, and addictively fun mechanics. We explore game design with AI agents, balancing cards with LLMs, voiceovers via 11 Labs, animations with retro sprite tools, and building in Phaser.js. Max shares how taste, strategy, and persistence now outweigh engineering—and why the next era of gaming will be built by creators, not coders.