Background textures of work An Article by Lucy Keer lucykeer.com One thing I've been enjoying about working as a technical writer is that the minute-by-minute texture of the work feels right. Something about formatting text, faffing about with SVGs, trying to rewrite a sentence more clearly... it's just enjoyable in itself, and I feel at home with it. ...Working as a programmer was very much not like that. There's something in the rough vicinity of professional dev work that I do like, which I could probably label as 'iterative hobbyist tinkering with websites'. I like working on something with a strong visual component, and I like to be inside of a fast feedback loop, and I'm mostly interested in just somehow bodging through until it works. I'm not very interested in either the computer-sciencey side of programming — data structures, algorithms — or the software-engineerey side of making things run reliably at scale in a maintainable way. So maybe it's not surprising that the minute-by-minute texture of professional programming was just... kind of bad. Occasional fun bits when I got into something, but the background experience was not fun. workproductivitymaking
A brief foray into vectorial semantics An Article by James Somers jsomers.net One of the best (and easiest) ways to start making sense of a document is to highlight its “important” words, or the words that appear within that document more often than chance would predict. That’s the idea behind Amazon.com’s “Statistically Improbable Phrases”: Amazon.com’s Statistically Improbable Phrases, or “SIPs”, are the most distinctive phrases in the text of books in the Search Inside!™ program. To identify SIPs, our computers scan the text of all books in the Search Inside! program. If they find a phrase that occurs a large number of times in a particular book relative to all Search Inside! books, that phrase is a SIP in that book. mathmeaningwordsnotetakingsearchchance