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About this episode
Diesel costs more than gas in places it never used to, and that single fact ripples into shipping, groceries, and basically every price tag you touch. We dig into why the diesel versus crude oil relationship feels “off,” what global refining constraints might be doing, and how energy decisions like coal gasification and cleaner syngas concepts can look brilliant on paper and still fail in the real world.
From there we jump hard into tech and AI, because the conversation keeps pointing back to the same question: how do you run modern systems efficiently? IBM’s NorthPole processor is a perfect example, pushing AI inference with on-chip memory and architecture choices that challenge the default “just add GPUs” mindset. We also talk about the weirdly impressive reality of AI-built software, including a slick task manager style app that appears to come from a tiny prompt, plus the uncomfortable side of code provenance and trust.
The episode stays informal and wide-ranging: conference travel, vendor dinners, airport parking hacks, and why some of us don’t want vehicles that can be remotely disabled. We also hit Hollywood’s shrinking job market, the idea that managers may be uniquely good at “managing AI,” and a few practical life topics like Proton Mail, Signal, sleep studies, CPAP tradeoffs, GLP-1s, and peptides. If you like candid conversations about cybersecurity culture, AI trends, privacy tools, energy economics, and the messy reality between headlines and real life, this one’s for you.
Subscribe so you don’t miss next week, share this with a friend who loves tech and systems talk, and leave a review with your hottest take: are GPUs still the future, or is inference-first hardware about to take over?
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Get every episode summarized
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