Culture
Bury Me With My Domain Names 1 minutes read.
My humble effort to help you start the weekend with a smile on your face. I have a serious problem, buying too many domains. The solution has to be to buy another domain and build a community for people with similar problems, right?
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AI and the Automation of Work 8 minutes read.
"If you do understand this [It’s not doing a database lookup: it’s making a pattern], then you have to ask, well, where are LLMs useful? Where is it useful to have automated undergraduates, or automated interns, who can repeat a pattern, that you might have to check? The last wave of machine learning gave you infinite interns who could read anything for you, but you had to check, and now we have infinite interns that can write anything for you, but you have to check. So where is it useful to have infinite interns? Ask Dan Bricklin - we’re back to the Jevons Paradox." -- This is an excellent framing of LLM, and applications like ChatGPT, that might shed some light on the future of LLM-driven apps.
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Anything but Tech Debt 5 minutes read.
"While tech debt may not be a useful label when advocating for the next interval’s work, it’s still useful at another point: the moment of potential debt creation, when making the choice to invest in a particular effort now or wait for the future. The concept reminds us that the timing of an investment and its cost are connected, and that usually things cost much more (in engineers’ time) to address later, but increasing flexibility in the present (opportunity cost) may still be the right choice." -- Emily Nakashima's observations that Tech Debt can be the wrong framing (or at least not enough) is spot on. Looking at it as "Tool chain investments" to measure how quickly the investment will return itself can be a better way to help the business understand its value.
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The Weird Future of Work 8 minutes read.
Dror Poleg's post is terrific in two aspects: having a view into Dror's view of the world and also the quality of answers by ChatGPT that is surprising in terms of quality. I wonder how many of us will be able to "talk with ourselves" to learn more about the pattern matching (as Benedict Evans frames it) LLM produces to learn about our public perception.
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