Need to let loose a primal scream without collecting footnotes first? Have a sneer percolating in your system but not enough time/energy to make a whole post about it? Go forth and be mid: Welcome to the Stubsack, your first port of call for learning fresh Awful you’ll near-instantly regret.
Any awful.systems sub may be subsneered in this subthread, techtakes or no.
If your sneer seems higher quality than you thought, feel free to cut’n’paste it into its own post — there’s no quota for posting and the bar really isn’t that high.
The post Xitter web has spawned soo many “esoteric” right wing freaks, but there’s no appropriate sneer-space for them. I’m talking redscare-ish, reality challenged “culture critics” who write about everything but understand nothing. I’m talking about reply-guys who make the same 6 tweets about the same 3 subjects. They’re inescapable at this point, yet I don’t see them mocked (as much as they should be)
Like, there was one dude a while back who insisted that women couldn’t be surgeons because they didn’t believe in the moon or in stars? I think each and every one of these guys is uniquely fucked up and if I can’t escape them, I would love to sneer at them.
Previous week
I've often called slop "signal-shaped noise". I think the damage already done by slop pissed all over the reservoirs of knowledge, art and culture is irreversible and long-lasting. This is the only thing generative "AI" is good at, making spam that's hard to detect.
It occurs to me that one way to frame this technology is as a precise inversion of Bayesian spam filters for email; no more and no less. I remember how it was a small revolution, in the arms race against spammers, when statistical methods came up; everywhere we took of the load of straining SpamAssassin with rspamd (in the years before gmail devoured us all). I would argue "A Plan for Spam" launched Paul Graham's notoriety, much more than the Lisp web stores he was so proud of. Filtering emails by keywords was not being enough, and now you could train your computer to gradually recognise emails that looked off, for whatever definition of "off" worked for your specific inbox.
Now we have the richest people building the most expensive, energy-intensive superclusters to use the same statistical methods the other way around, to generate spam that looks like not-spam, and is therefore immune to all filtering strategies we had developed. That same blob-like malleability of spam filters makes the new spam generators able to fit their output to whatever niche they want to pollute; the noise can be shaped like any signal.
I wonder what PG is saying about gen-"AI" these days? let's check:
Who would have thought that A Plan for Spam was, all along, a plan for spam.
This is a really good observation, and while I had lowkey noticed it (one of those feeling things), I never had verbalized it in anyway. Good point imho. Also in how it bypasses and wrecks the old anti-spam protections. It represents a fundamental flipping of sides of the tech industry. While before they were anti-spam it is now pro-spam. A big betrayal of consumers/users/humanity.
Signal shaped noise reminds me of a wiener filter.
Aside: when I took my signals processing course, the professor kept drawing diagrams that were eerily phallic. Those were the most memorable parts of the course