they probably weren't.

Meta lobbied heavily for this. The fact that they have not decided to use free speech to fight the move that they are lobbying for is not an argument that free speech is irrelevant here.

This is not legal advice but a personal request: please do not get your legal advice from Hacker News. Get it from a lawyer.

hating on OP for being AI slop is fully legit imo (sorry OP) but don't judge the concept on this example. the rotary sequencer model's actually quite effective. there's lots of niche software and Eurorack modules which implement it, e.g., Moskwa (and Moskwa II) from Xaoc Devices.

here's a YouTube video which shows Moskwa II in action:

https://www.youtube.com/watch?v=C-6n_E9WIfQ

btw the first rotary sequencer was probably Raymond Scott's Circle Machine from 1958:

https://web.archive.org/web/20110927232227/http://raymondsco...

ever since Elon did his "promise full self-driving every year" thing, entrepreneurs been on a weird sort of fiction escalator.

thought-to-text is incredible. imagine doing something that remarkable with your life and feeling the need to exaggerate.

But it also allowed me to extrapolate a difficulty metric. Wordle Bot gives you your "Luck," "Skill," and number of steps, compared to the average user, for every game. It's not a coincidence my personal number of steps goes up on the same days (generally speaking) that the average user's number of steps goes up. Nor that it goes down on the same days. Nor that the same happens with "Luck" and "Skill."

Anyway, I like the idea of copying the GitHub activity calendar/matrix design, but the colors are kind of meaningless for me as I play Wordle with the high-contrast colors. Tempted to turn my spreadsheet into an app so I can copy the design, but add a high-contrast mode.

anyway, the other way is I found it's helpful when prompting LLMs to use the same "it's not delivery, it's DiGiorno's" pattern that they're all so obsessed with. especially when the thing's misapprehended some concept, so you need to clarify. this hasn't yet generalized from the fake "conversations" I have with chatbots into my conversational style out in the real world, but the risk is fully there. (it's not an inevitability -- it's an occupational hazard.)

95% of the dogs in your home are okay with it.

this study from Psychology Today finds that 83% of dogs freak out when they hear loud noises:

https://www.psychologytoday.com/us/blog/canine-corner/202202...

technically we have one, the Fourth Amendment, but SCOTUS defanged it completely, years ago.

https://news.ycombinator.com/item?id=45121617

once this system is up and running, they can use it to harass and "deport" (rendition) anybody they want based on what tax-deductible contributions they've made to various non-profits.

(it's rendition because a lot of these people are being sent to countries they're not even citizens of. obviously that pertains when sending people to prisons in El Salvador and Sudan. also, when deporting immigrant parents, they've "deported" US citizens who are children or infants to the countries of their parents' citizenship.)

the more satellites you put up there, the more it happens, and the greater the risk that the immediate orbital zone around Earth devolves into an impenetrable whirlwind of space trash, aka Kessler Syndrome.

Fun fact, he predicted in 1995 that the internet would collapse entirely within the following year, and said he would eat his words if it didn't. In 1997, at a web conference, he put a printed copy of the words into a blender and drank a smoothie made with that paper.

another good use case: have it read a ton of code and summarize it. if you’re dealing with a new (to you) area in a legacy application, and trying to fix a problem in how it interacts with a complex open-source library, have the LLM read them both and summarize how they work. (while fact-checking it along the way.)

It’s nontrivial to structure your entire AST so that the parts you abstract away are the parts you’re not going to need direct access to three months later. And I never really figured out, or saw anyone else figure out, how to do that in a way which establishes a clear pattern for the rest of your team to follow.

Especially when it comes to that last part, I’ve found pragmatic OOP with functional elements, like Ruby, or task-specific FP, like Elm, to be more useful than Clojure at work or various Lisps for hobby projects. Because patterns for identifying boilerplate are built in. Personal opinion, of course.