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A Linux install should be boring. Ours turns into a full-on troubleshooting spiral: USB sticks, flashing tools, Mint editions, and the one thing everyone skips until it’s too late, verifying the ISO hash. That setup mess is the perfect launchpad for the real project we’re chasing: a practical, cross-platform app that monitors AI subscription usage across services like Claude and Grok so we can see tokens and limits in real time without living in a dozen browser tabs.

From there, we dig into the economics of AI. Local AI hardware costs keep climbing while cloud AI gets faster and more capable, and the pricing math isn’t as straightforward as “API tokens times usage.” We talk through why fixed monthly plans can deliver outsized value for most users, when local models still make sense for privacy or sensitive data, and how building with Rust helps keep a multi-platform tool fast, portable, and sane to maintain.

Then we get distracted in the best possible way: a Tesla Roadster demo that looks like it belongs in a movie. We react live, question what’s real, and tease apart the difference between an amazing tech demonstration and something you can actually live with day to day. We also hit a grab bag of headlines and internet mechanics, including anti-bot roadblocks, tech hiring incentives, and what happens when AI “agents” start working like a small team instead of a single chatbot.

If you like candid builder talk, real-world AI workflows, and tech skepticism with receipts, subscribe, share the episode with a friend, and leave us a review with your hottest take on cloud AI vs local AI.

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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?

Support the show

Want to hear old episodes? All subscribers have access to the full back catalog of episodes and specials! Just Two Good Old Boys (Just Two Good Old Boys +)

Communicate with us directly on x.com by joining the Good Old Boys community! https://x.com/i/communities/1887018898605641825

Can't donate?
Listen to Amy Clare Smith Music

Check out Gene's other podcasts -
podcast.sirgene.com and unrelenting.show

Read Ben's blog and see product links at namedben.com