Collected Over Spread @collectedoverspread@qoto.org

"If we expect others to pay taxes to finance the government services we rely on, we should understand that implies an obligation to pay taxes of our own — in similar amounts to other people with similar financial resources."

My general philosophy is that the tax code should be simpler because this has lots of positive downstream effects. I never liked "no taxes on tips" even though I understand its appeal. It's just another exception which adds a layer of complexity (and further entrenches the American tipping system to boot!).

"Stop Microlooting the Tax Code" by Josh Barro in Very Serious https://www.joshbarro.com/p/stop-microlooting-the-tax-code

"Right now, today's AI tools probably can be used to deanonymize any writer who has a large public corpus of writing under their real name and also writes anonymously... I think the amount of public text that is needed for this kind of deanonymization to work is likely to eventually decrease."

I've thought about how my style of writing could be used to identify me and it seems inevitable that someone could, in the future, use this as a way to dox me if they wanted to.

"I can never talk to an AI anonymously again" by Kelsey Piper in The Argument: https://www.theargumentmag.com/p/i-can-never-talk-to-an-ai-anonymously

#anonymity #privacy

A useful reframing of what is commonly referred to as "hallucination" in #LLM #LargeLanguageModels: "Shameless Guesses, Not Hallucinations" from Astral Codex Ten https://www.astralcodexten.com/p/shameless-guesses-not-hallucinations

I think the "shamelessness" is part of the issue I have with current systems and maybe they should be tuned to have more "shame" (in practice, more willing to say "I don't know"), similar to how most are tuned to refuse to say offensive things.

#ArtificialIntelligence #GenerativeAI

Thinking about the recent actions from #ArchiveToday . Trust is paramount with Web archives, and archive.today lost a lot of it.

https://collectedoverspread.tumblr.com/post/810514202033815552/archivetoday-and-trust-in-web-archiving