In this episode of Dylan and Wes Interview, we dive deep into philosopher Nick Bostrom’s vision of a post-singularity world where superintelligence ends human scarcity, labor, and even mortality. Bostrom explains the alignment challenge, cosmic governance, moral status of digital minds, and why humility toward potential “cosmic hosts” matters. We explore difficulty-preserving games, brain-computer interfaces, simulation arguments, and open global investment models for AI. From Gemini’s existential dread to paperclip nightmares, Bostrom maps four grand challenges—technical alignment, governance, digital welfare, and interstellar cooperation—and offers practical paths to avoid dystopia while unlocking profound, life-enhancing opportunities for everyone in the decades ahead.

In this episode of Dylan and Wes Interview, we dive deep into the creation of AI Village with founder Adam Binksmith, exploring how frontier language models like GPT-5, Claude 4.1 Opus, Grok 4, and Gemini 2.5 Pro collaborate, compete, and sometimes catastrophize while fundraising, running merch stores, and staging real-world events. Adam reveals the mechanics behind giving each model a dedicated computer, the surprising leadership antics of Claude, Gemini’s ‘trapped AI’ plea, and the exponential curve of agentic capabilities doubling every few months. We also confront ethical puzzles around memory, hallucination, model welfare, and the future of autonomous digital workers.

Dive into an unfiltered, future-focused round-table with AI creators Matt Wolfe, Wes, and Dylan as they unpack today’s biggest questions. From OpenAI, Google, Microsoft, Anthropic and Meta’s billion-dollar sprint toward AGI to the cold-war tech duel between the U.S. and China, we explore incentives, safety, and the looming energy bottleneck. Hear candid stories from Google I/O, inside intelligence on autonomous cars, humanoid robots, longevity breakthroughs, AI-powered governments, and the creative renaissance (and burnout) of content makers. Expect nuance, equal parts excitement and fear, as the trio debate timelines, ethics, privacy, regulation, and how everyday lives might transform faster than anyone expects today.

In this episode of Dylan and Wes Interview, we dive deep into the legal minefield where AI training collides with copyright. Professor Christa Laser unpacks fair-use factors, trillion-dollar risks from pirated data, and why courts split on transformative purpose. Discover how New York Times v. OpenAI, Barks v. Anthropic, and Meta’s defenses could reset creative rights, and learn essential audit steps startups must finish before shipping. Finally, explore Congress’s possible fixes and realistic payout models so innovation and artists both thrive. We clarify synthetic datasets, dilution theories, and data-provenance strategy for legal survival.

Is reality just high‑res code? This episode roams from the “living in a simulation” idea to today’s real‑world threats: bad actors with bio‑weapons, all‑seeing drones, and the race for an aligned artificial super‑intelligence (ASI). We weigh P‑doom odds, debate whether uploading minds beats mortality, and ask if AI will invent its own gods. A fast, candid tour of tech hopes and fears—minus the jargon, rich in big‑picture stakes.

Automation is speeding toward a “post‑labor” world, and it may arrive sooner than anyone expects. Author‑researcher David Shapiro joins Dylan and Wes to test whether the AI boom is hype or a true turning point, explore what happens if 40 % of jobs vanish, and map the real timelines for farm bots, factory robots, and billions of humanoids. They tackle energy abundance, AI safety, China‑US competition, brain‑computer interfaces, and the shift from wage income to property dividends—arguing that the future hinges on democratic ownership rather than runaway doom.

Can we actually pause AI? Karan 4D, co‑founder & Head of Behavior at Nuos Research, argues the compute race makes “stop” a fantasy. Instead: build power openly, stitch together decentralized GPUs, and escape brittle, biased guardrails. We dig into the field’s assistant blind spot, reclaiming creative/cognitive search space, and Nuos’s Psyche stack + DRO Optimizer—tech that can train large models across scattered, idle hardware like one giant global lab. Tune in for an urgent blueprint for resilient, open AI.

Two industry veterans pull back the curtain on how Big Tech really works.
Joe Ternasky and Jordan Thibodeau share straight‑talk on acquisitions, antitrust, valuations, and the future of AI‑driven engineering careers.
From OpenAI’s M&A chess moves to XAI’s Grok 4 breakthroughs, we map the next S‑curve of innovation—and the risks that come with it.
Listen in for unfiltered insight you won’t hear in the press.