Monologue: The AI Data Center Overbuild
In this week's Better Offline monologue, Ed Zitron talks about how $200bn to $300bn of AI GPUs are sitting in warehouses, how hyperscalers like Microsoft are overstating their AI capacity, and why the...
25 Syys 10min
The Hidden Recession Beneath The AI Bubble w/ Paul Kedrosky
In this week’s Better Offline, Ed Zitron is joined by economist Paul Kedrosky to talk about how AI is distorting the bond markets to the point that it’s changing the price on US Treasuries, how AI dat...
23 Syys 54min
Monologue: Shut The F*ck Up, Dario!
In this week's Better Offline monologue, Ed Zitron delivers a simple message: if Dario Amodei truly believes that Anthropic is building dangerous AI, he should stop any and all cybersecurity model tra...
18 Syys 8min
Stopping The AI Safety Cult ft. Adam Becker & Cal Newport
Ed Zitron is joined by computer science professor and writer Cal Newport and journalist and astrophysicist Adam Becker to get the word out that the narrative about existential risk from AI is driven b...
16 Syys 1h 5min
Monologue: Jacob Coxon and the AI Safety Grift
In this week's Better Offline monologue, Ed Zitron runs through the nonsensical, pro-AI lab scare campaign driven by former researcher Jacob Coxon, how the media keeps falling for AI safety grifts, an...
11 Syys 16min
Managing The Situation
In this week’s Better Offline, Ed Zitron walks you through how society continues to manage rather than deal with crises, and how the AI bubble is yet another crisis resulting from a failure to deal wi...
9 Syys 17min
Monologue: Concentration Risk
In this week's Better Offline monologue, Ed Zitron runs through how 80% of Anthropic and OpenAI’s enterprise revenues come from the top 1% of its customers, and how the entire AI bubble is a series of...
4 Syys 10min
LLMs Will Never Make Art With Caleb Wilson and Arif Hasan
In this week’s Better Offline, Ed Zitron is joined by Arif Hasan of Wide Left and Caleb Wilson of Kill The Computer to talk about an academic paper on AI slop, and the many reasons why LLMS can never ...
2 Syys 42min
