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.

Welcome to Wes and Dylan — where curiosity meets the cutting edge of AI. Hosted by Wes Roth and Dylan Curious, this channel dives deep into the minds shaping our future. We interview top experts, researchers, and builders across artificial intelligence, robotics, biotech, and more to explore the breakthroughs transforming our world.Whether it's autonomous cars, superintelligence, synthetic biology, or startup disruption, we ask the big questions—and aren’t afraid to go off-script.If you want to understand what’s coming next (and why it matters), you’re in the right place. New episodes weekly. Long-form conversations. Unfiltered, curious, and future-focused. Subscribe and stay ahead of the curve.

Former M&A insider Jordan Thibodeau (Google, Slack, Salesforce) and product leader Joe Ternasky (Google, Facebook, Apple) join host Wes Roth for a no‑filter look at how Big Tech really builds (and battles over) artificial intelligence. From GPT‑4’s watershed moment to China‑driven chip geopolitics, they unpack the hype, the power plays, and the people reshaping the path to AGI.

Ride shotgun in Tesla’s fully autonomous robotaxi as John from the YouTube channel Dr. Know It All AI joins hosts Wes Roth and Dylan Curious. From first‑hand FSD impressions to the prospects of humanoid delivery bots, we unpack the breakthroughs—and risks—shaping tomorrow’s transportation, biology, startups, and society.