i want to talk to nice people about music, film, tv, books, and computers <3
if you ever want to see a film i've mentioned and we know each other, please don't hesitate to ask me. some of these are hard to find
| pronouns | they/them |
| code | https://github.com/solson |
| music | https://www.last.fm/user/sco50000 |
| film | https://letterboxd.com/tsion |
I was so terrified of the Humanities job market that I became a computer scientist. (Not kidding.)
If there were justice, I'd be a working Assyriologist today. I do love my job and my research—I have found a part of computer science that is worthy of love and devotion.
But I want to have these colleagues who know more than anyone else in the world about a 50 year period of Antiquity. I want that knowledge to survive, but more so, to be brightened by successive generations of youthful scholars.
Well, I tried Claude Code. It's less bad than GLM, but alas, I didn't get the "Hallelujah! I see the light" moment that would let me become an AI grifter. Pity, really.
I did notice an interesting thing though: the people who get the best results from coding agents tend to be the people who think they're awful, which says some interesting things about engineering judgement. Read the article here:
https://deadsimpletech.com/blog/engineering-judgement-claude-paradox
Looking at my peers, this seems like a consistent pattern: the people who get the best engineering results out of coding agents are not only *not* the boosters, they're the people who think the whole enterprise is dubious and that basically everyone who manufactures these tools is deeply morally compromised. This is a downright *weird* phenomenon: while a similar thing has happened with other technologies before, it's surpassingly uncommon, and for most technologies, the people most excited about them are also the most adept at using them effectively. What the hell is going on?
Brian Bucklew
Jon Sterling
doll!
Iris
MagicalGirl Gleaming Moonlight
Samantha Keeper