
10 years after studying at Stanford, two friends have somehow become AI experts. One builds startups, the other studies at Cambridge - together they break down LLMs and machine learning with zero BS and maximum banter.
| Publishes | Weekly | Episodes | 65 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Tech NewsNewsTechnology | |||

Do data centers really drink the water table dry? Pierce breaks down the three ways they shed heat, why the scary viral stats are less lies than motivated framing, and how tax breaks lure these things into the country's most parched counties. Then: M... more
Apple announced Siri AI at Tim Cook's final WWDC keynote as CEO - then told Europe it won't ship there, because the EU's Digital Markets Act would force Apple to hand any third-party AI nearly unlimited, autonomous access to your phone. We break down... more
OpenAI just replaced ChatGPT's memory with a background process that literally dreams about your conversations. We break down Dreaming V3 and why rebranding cron jobs as "dreaming" might actually be the future of AI memory, what Jensen Huang's RTX Sp... more
Microsoft canceled their Claude Code licenses after the finance team saw the bill, and Anthropic somehow posted its first ever profitable quarter on $10.9 billion in revenue the same week. We break down why token pricing is collapsing (Gemini Flash i... more
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Technical learning is high. Very fun personalities. Love this podcast
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Apple Podcasts | #66 |
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This program offers hard-edged AI discourse aimed at practitioners and builders, with a knack for translating complex ML concepts into practical takeaways. Episodes routinely cover advances in agent-driven software, language-model architectures, AI safety and ethics, and the evolving landscape of AI labs and startups, all delivered with a banter-heavy, candid style. Listeners get a mix of technical analysis, industry context, and first-hand startup experiences, making it useful for engineers, founders, researchers, and product leads who want to stay ahead of AI trends and applications. Noteworthy is the show's willingness to tackle controversial topics (security, governance, and real-world deployments) while maintaining a friendly, accessib... more
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Pretrained launched a year ago and published 65 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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