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

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 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 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 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 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 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.