good morning

that fuckin company had another funding round

the further one reads, the more depressing it gets

Joining them are strategic infrastructure partners—Micron, Samsung, and SK hynix

cool so it’s going to be even longer before one can buy affordable computers again

I wish all of this a very fuck off and stop already :|

and since it’s likely that there is no writeup, I am now already starting with “polymarket site:lesswrong.com”

we all know the abyss would get upset if I don’t visit enough

hey awful, a Question:

do any of y’all know if there’s a decent writeup of the rationalist/hanson/thiel pre-history of prediction markets (a la polymarket etc) before they hit the much-heightened popularity of the last ~18mo?

the only kind of spine casey has is the kind in his old school ringbinders, and you can’t convince me otherwise

fuckin casey is at it again

haven’t got time to sneer it just yet, but had to share

it’s funny because it’s almost directly the eve capsuleer picture, but we already knew these dipshits don’t read

also, how would this work? body grows old, but brain just….doesn’t? self-rejuvenating hermet crab brain!

ooh, brava!

may they enjoy their introduction(s) to tomato milkshake ducks and shiver in fear nightly at the memory of feeling unpopular

I’ve seen a handful of security people claim different kinds of yields with some of this shit. I haven’t gone to read up in depth but I wouldn’t be too surprised a lot of them run around with unstated assumptions/provisos in their thonkposts (this shit is expensive (for research volume) and only some people can afford the science experiments)

Got a list of a couple of names I’m keeping an eye on as the first tokenprice-pocalypse (that needs a better word) takes place

it continues to be amazing to me that this is the “high impact” area they’re going with: even if their analysis systems are better (and frankly I still don’t buy this wholesale, there’s a whole rest of the owl being handwaved[0]), bug-elimination is by definition diminishing returns so you can only fanfare like this the first time

[0] - having fucking gigantic budgets to throw at running a parse of every single repo and every test condition/simulation you wish to certainly does help a hell of a lot, even moreso when you can shell out to a half-dozen second stage review corps…

the “margin” is load bearing; formula here is operating income divided by revenue

oh that one, right!

[2] fuck trying to find the double acute accent or w/e it’s called over the o

in afrikaans: “deelteken”

in english: I literally can never remember it, but I remember “umlaut”

I’ve seen the pattern be used as an enterprise pricing dodge before: rather than sign the whole org up at $$$, everyone signs up themselves at $ (and maybe get to claim or somesuch)

another reading could be that someone in leadership/security went “holy shit this exposure is terrible” and put forth a policy including “no personal” and the poor little promptfondler is left ashen-faced upon reading that the policy instruction actually thought of the first obvious workaround

that made me smile good and proper, ty for the lol

I love the orangeposters in there, some of them sure are thonkers

or sunset super-voting shares within seven years

weird number to pick given they might not last that long if felon and friends aren’t removed earlier on…

“You should assume that you’re being manipulated until they have better systems in place,” says Lily Ray, founder of the search engine optimisation (SEO) and AI search consultancy Algorythmic. "We’re moving towards this ‘one true answer’ world.

from here

on the one hand I’m all “save me from marketroids”, on the other all “oh so we’ve solved philosophy?”

dear god what a fucking sentence to be saying as a description of the moment. and I’d fucking bet they’re talking to their customers in the same terms/language

yup, that paper really went places

damned shame they couldn’t both lose

Ms. A reported extensive experience working with active appearance models (AAMs) and large language models (LLMs)—but never chatbots—in school and as a practicing medical professional, with a firm understanding of how such technologies work. Following a “36-hour sleep deficit” while on call, she first started using OpenAI’s GPT-4o for a variety of tasks that varied from mundane tasks to attempting to find out if her brother, a software engineer who died three years earlier, had left behind an AI version of himself that she was “supposed to find” so that she could “talk to him again.”

from here. what follows just gets more screech-inducing