Better Offline

Cool Zone Media and iHeartPodcasts
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30 snips
Apr 7, 2026 • 41min

The Reality of AI Economics With Paul Kedrosky

Paul Kedrosky, an economist who studies tech markets and data center investment, breaks down the economics behind massive data center land buys and the brittle NVIDIA GPU market. He discusses how data centers shaped recent GDP, powered-land speculation, long-term purchase agreements, and why inference efficiency and new chips could upend current finance models.
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47 snips
Apr 3, 2026 • 18min

Monologue: AI Isn't Too Big to Fail

A breakdown of the idea that AI firms are economically unsustainable and propped up by venture capital. A comparison between lax underwriting in subprime mortgages and subsidized AI products. An explanation of why past bailouts happened and why AI companies lack the same systemic ties. Predictions on market pain, VC losses, and who might be absorbed if firms fail.
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86 snips
Apr 1, 2026 • 11min

Monologue: What's Going On At Anthropic?

Discussion of Anthropic's new rate limits and confusing subscription tiers. Coverage of a source-code leak tied to Claude Code and what surfaced in the data cache. Concerns about software written entirely by LLMs and the quality and safety risks from rapid, LLM-driven development.
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87 snips
Mar 27, 2026 • 11min

Monologue: The AI Industry Is Lying To You

A sharp monologue exposing AI industry hype, from OpenAI’s Sora collapse to exaggerated data center claims. The conversation calls out vaporware, stalled construction, and rapid GPU obsolescence. It explores who profits from the frenzy and why massive data center spending may be wasted capital.
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21 snips
Mar 25, 2026 • 58min

NVIDIAdrome with Steve Burke of GamersNexus

Steve Burke, technology journalist and editor at GamersNexus, breaks down NVIDIA’s recent GTC theatrics and the DLSS5 controversy. He and Ed argue over AI pivots, game-art changes, and reassigned engineers. They also dig into datacenter build realities, media narratives, and the risks of corporate-driven AI hype.
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54 snips
Mar 20, 2026 • 12min

Monologue: LLM Code Is Already Breaking Big Tech

A rant about hyperscalers letting non-technical staff deploy LLM-generated code to production. Short reviews and 'vibe-coding' create opaque, unmaintainable code and tech debt. Real incidents at major firms show AI tools can trigger outages, security alerts, and unauthorized data access. The episode warns that shipping fast with LLMs sacrifices learning, accountability, and long-term system stability.
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49 snips
Mar 18, 2026 • 49min

Prediction Markets with Rebecca Ungarino and Nick Devor

Rebecca Ungarino, a Wall Street reporter covering banking and regulation, and Nick Devor, a reporter on gambling and markets, dive into prediction markets. They explain how event contracts work, compare crypto platforms with regulated U.S. venues, debate manipulation and ethical risks, and explore how banks and institutions are responding to this regulatory frontier.
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90 snips
Mar 13, 2026 • 15min

Monologue: It's The Beginning Of History

A sharp monologue on the end of tech’s hypergrowth and why generative AI has not become a viable business model. It digs into a recent Anthropic controversy, financial revelations, and the ethical questions around AI in conflict. The conversation calls out hype-driven corporate decisions, software debt from leveraged buyouts, and argues for returning to economic fundamentals.
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62 snips
Mar 11, 2026 • 59min

Hater Season: Henry Zebrowski

Henry Zebrowski, comedian and actor known for Last Podcast on the Left, rails against the metaverse, tech fads, and AI hype. He skewers virtual shows, corporate illusions of community, and Silicon Valley storytelling. Short, furious takes on why tech narratives outpace real human needs.
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66 snips
Mar 4, 2026 • 47min

Hater Season: Corey Quinn

Corey Quinn, Chief Cloud Economist at Duckbill and sharp AWS critic, joins to argue about cloud complexity and AI infrastructure. Short takes cover runaway AWS bills, the chaos of instance choices, custom chips versus Nvidia, and whether hyperscalers’ AI capex will pay off. Quick, pointed conversations about cloud waste, hardware bets, and realistic AI impact.

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