Tetragrammaton - The Podcast Review #02
“We gave a profession of bullshit generators access to GPT-4. You won’t believe what happened next.” - If the work you’re doing is predictable - in this case, a lot of the junior level work at management consulting firms to come up with new strategies and GTM - the AI can help. The positive side: if you’re considering getting the consulting firms to bootstrap your annual planning, try a week with ChatGPT instead and see if it feels the same. Then don’t hire them, as much? Also, the AI is good at hype-marketing.
A new way of thinking about open source sustainability - If you’re using open source components in your IT stack, don’t forget that long term reliability and stability is costly, and worth paying for.
What is a service mesh? Why do you need a service mesh? And which is the best service mesh?
Did I Make a Mistake Selling Del.icio.us to Yahoo? - Plan to never get past slide one: “Any decision was an endless discussion. I remember once, we had to present to a senior vice-president. We had a 105-slide deck prepared, and we didn’t get past the second slide because they ratholed about one fucking slide. It was a miserable environment."
Second Wave DevOps - The tools keep changing: “Let’s face facts: our implementation is what’s letting us down. What worked for John and Paul in 2009 is, in broad strokes, exactly what we have been asking every single DevOps practitioner to do since. We’ve replaced all the individual tools in the system multiple times (look at the CNCF Cloud Native Landscape for the evidence): less automated infrastructure, more infrastructure as code; less monitoring, more observability; less data centers, more cloud; less svn, more git; less virtual machines, more docker; less capistrano, more kubernetes; less hudson, more github actions. The problem isn’t that we haven’t optimized each individual part of the system enough. We’ve built more efficient tooling at every step. But the way the whole system is put together? The experience of using it? That’s basically identical to how it was in 2009, and it’s the reason we’re stuck."
Survey: Majority of US Workers Are Already Using Generative AI Tools, But Company Policies Trail Behind - “The new survey finds that 56 percent of workers are using generative AI on the job, with nearly 1 in 10 employing the technology on a daily basis. Yet just 26 percent of respondents say their organization has a policy related to the use of generative AI, with another 23 percent reporting such a policy is under development."
iOS 17 release: everything you need to know about Apple’s big updates - A concise list. The journaling app comes out later this year.