When it comes to large language model-powered tools, there are generally two broad categories of users. On one side are those who treat AI as a powerful but sometimes faulty service that needs careful human oversight and review to detect reasoning or factual flaws in responses. On the other side are those who routinely outsource their critical thinking to what they see as an all-knowing machine.

brother this being the lede for a story from the ars reporter who wasn’t fired over the hallucinated quotes is just… this is the closest corporate media can come to “fuck that loser” and still make it to publication. jesus christ

when my wife was pregnant with $KID1 she climbed a step stool, dropped a glass jar of honey, and then called for me. i heard none of this and have been traumatized by that realization for the last eight years

today i finally thought it’d be okay to “lock in” so i could work through a month’s worth of class work in eight hours. put on my headphones, locked the office door, and got to work… and less than an hour in she dropped a glass jar, asked $KIDS to get me, and I heard none of this

maybe by 2034 i’ll be able to use noise-canceling headphones when other people are in the house without anyone breaking glass

the good news: i should be able to get my associate’s this summer

the bad news: i have to take intro classes to word processing, spreadsheets, and databases

whether this has a net positive or negative effect on my blood pressure tbd

i am once again pitching “a text box with a ‘post’ button that shows a ‘posted’ animation but really just deletes the text”

could maybe be expanded to include “unless it has a positive sentiment, as defined by this regular expression we wrote,” like claude does

make it back to class

need my wife to drop me off, deliberately plan routes so i can avoid stairs

(presumed) fire drill forces me to evacuate via stairwell so i can stand outside with a freezing “feels like” temp in inappropriate clothes

very good