Sarah Cahill
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sarcah.bsky.social
Sarah Cahill
@sarcah.bsky.social
64 followers 110 following 13 posts
I hate some things so much I made a list of them for my lounge room wall. Overly invested in US and UK politics, especially considering I live in Australia.
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Reposted by Sarah Cahill
alexdecampi.bsky.social
The Impact of AIDS on the Artistic Community, by Fran Lebowitz. For World AIDS Day. Part 2 of 2:
8. The Impact of AIDS on the Artistic Community is that a 36-year-old writer runs into a 34-year-old painter at a party and the painter says to the writer that he is just back from Los Angeles and he says with some surprise that he had a really good time there and he asks why does she think that happened and says it's because New York is so boring now that Los Angeles is fun in comparison and that's true and it's one reason but the real reason is that they don't know the people who are dying there. 9. The Impact of AIDS on the Artistic Community is that a 36-year-old writer has dinner every night for 11 nights in a row with the same 32-year-old musician while he waits for his biopsy to come back because luckily for her she is the only one he trusts enough to tell. 10. The Impact of AIDS on the Artistic Community is that a 36-year-old writer… …trying to make plans to go out of town flips through her appointment book and hears herself say, ''Well, I have a funeral on Tuesday, lunch with my editor on Wednesday, a memorial service on Thursday, so I guess I could come on Friday, unless, of course, Robert dies.'' 11. The Impact of AIDS on the Artistic Community is that when the world's most famous artist dies of complications following surgery at the age of 61 it doesn't seem like he really died at all - it seems like he got off easy. 12. The Impact of AIDS on the Artistic Community is that at a rather grand dinner held at a venerable New York cultural institution and catered by a company famous for the beauty of its waiters a 39-year-old painter remarks to a 36-year-old writer that the company in question doesn't seem to employ as many really handsome boys as it used to and the writer replies, ''Well, it doesn't always pay to be popular.''
December 1, 2025 at 6:00 PM
sarcah.bsky.social
When the timeline gets it right
November 27, 2025 at 12:26 PM
Reposted by Sarah Cahill
dieworkwear.bsky.social
I remember when there was a discussion on Twitter about Shein's manufacturing practices and some apologists invented all sorts of fantastical machinery and technology to avoid facing the more horrifying truth. Reminds me of this comedian's joke.

IG bscomedian
November 20, 2025 at 12:07 AM
Reposted by Sarah Cahill
edzitron.com
The AI Bubble inflated by a dereliction of duty from those meant to seek out and publish the truth. LLMs have been sold on myth and outright lies about what they do or will do, and when the bubble bursts, retail investors will be left with the consequences.

www.wheresyoured.at/premium-the-...
Why Are We In A Bubble? You’re tired, I’m tired, we’re all god damn tired of the AI bubble. It’s been three years and very little has actually happened other than hundreds of billions of dollars being incinerated to build data centers or sustain the reckless and directionless ambitions of Sam Altman and OpenAI, or any number of near-identical AI startups that all claim to be worth somewhere between $5 billion and $500 billion. Yet what truly upsets me about AI is the lies. Despite the fact that Large Language Models cannot really be trusted to do any particular job without endless prompt engineering and tinkering, so many people talk about them as if they’re the second coming of Christ, capable of doing just about anything if you put your mind to it. In reality, LLMs are capable of some stuff but not a lot of stuff and most people you talk to use it as either a coding assistant (that they have to either give very simple tasks or constantly check up on) or as a replacement for Google search that may or may not be better. Yet for years people have said things about LLMs that they don’t actually do, and when pressed to explain further, they’ve said that “these models are getting exponentially better.” We have seen a dereliction of duty by those who are meant to know the truth — the media and analysts — who are either ignorant of reality or refuse to live within it, saying instead that every bit of proof that we’re in a bubble is just “doomerism” or “skepticism” or proof of some sort of corruption or animosity toward the future, rather than an attempt to speak of what’s actually happening and inform the public. LLMs are limited! What they do today is similar to what they did a year ago, and what they’ll do a year in the future! The time of LLM innovation is over, this era is over, and every day we extend it only beckons further retail investors to throw themselves into an active volcano after being convinced that it’ll transform them into a golden god. It’s insu… It is insane to me that we still, to this day, have people claiming that “agents are coming,” or still peddling out the dog-brained “Uber and Amazon Web Services burned a lot of money” talking points, or somehow justifying the hundreds of billions of dollars burned by saying that “ChatGPT is really popular,” as if that makes up for the theft of millions of people’s art or the destruction of our planet. We’ve known that OpenAI was burning billions of dollars since the middle of 2024, as we’ve known the same of Anthropic, as we’ve known that every AI company is unprofitable, as we’ve known that models will hallucinate forever, as we’ve known that the “scaling laws” paradigm was a bucket of bullshit. These facts have sat baking in the sun for anywhere from a year and a half to two years, yet the media narrative has only fairly recently shifted to consider whether there’s any problem with an entire industry of unprofitable companies building wrappers on top of models made by unprofitable frontier AI labs. AI has proven that we live in an era of high information and low processing, and that the majority of people — the media, investors, analysts, and even government officials — simply take the top-line analysis from whatever the most “trustworthy” source they can find. As a result, TV networks like CNBC publish outright nonsense to back up things like OpenAI promising to pay $1.4 trillion in compute costs in five years with “trustworthy” analysts like Futurum’s Dan Newman, who had this to say about how OpenAI might afford it: This is a company that its biggest backers and investors believe will become the largest hyperscaler in the future. So it isn’t just going to compete for these software and for these ChatGPT and video making, uh, models, they're going to be focusing on taking over this AI layer, going down the path of Anthropic, playing the enterprise, developing these biggest models, and then ultimately developing a model to make money. This is a fucking analy… This is why people are going to lose so much money! This is why people are being failed! The mainstream media is deliberately, aggressively pushing nonsense narratives with enough buzzwords to keep the bubble inflated. In reality, our society is built on a lot of beliefs that are extremely thinly-held, and LLMs took root because society has been primed by science fiction to believe that it’s inevitable that we’ll have an autonomous computer in our lifetimes. We are trained to follow smart-sounding people from birth, and what constitutes “smart’ is judged by a combination of right-sounding words and braggadocious confidence, and while that’s sort of worked before, Large Language Models feel as if they’re purpose-built to exploit these semiotic tropes. ChatGPT can convince an imbecile he knows quantum physics because it gives him the topline definition in simple enough terms that he can repeat. ChatGPT can give a convincing-enough impression of a person that it can convince somebody that it wants him to leave his wife. ChatGPT can give a convincing-enough impression of writing code that it can convince basically every investor and member of the media that it will replace software engineers in mere months. And because ChatGPT did a convincing-enough impression of a person writing something, Satya Nadella decided to buy as many GPUs as possible, and because Satya Nadella was doing a convincing-enough impression of a CEO who knew what the fuck he was doing, Sundar Pichai, Mark Zuckerberg and Andy Jassy immediately copied him, so that they too could do convincing-enough impressions of executives that knew what they were doing. And because we live with markets that are poisoned by growth-at-all-cost thinkers, they fell in line behind the hyperscalers, claiming that the “era of AI” was here without any proof that was the case, all because the already-existing businesses underpinning the magnificent 7 kept growing. That, and the media has entirely failed to hold the… There is only one way to avoid this happening again: holding every single booster’s feet to the fire for months and months after the bubble bursts, and make sure that any other hype cycles they push are met with venom and receipts the likes of which God has never seen. If I sound like I have an axe to grind, it’s because I do. Regular people are already getting hurt — their communities destroyed by data centers, their art stolen, their loved-ones driven mad by AI psychosis, and, most likely, their 401Ks ravaged when this ends. I will have no mercy for those who failed to do their jobs. Will you?
November 14, 2025 at 7:00 PM
sarcah.bsky.social
Yep, and it was a proper school uniform too - dress and collared shirt. Think I at least waited till the morning to put the tie on.
This was in Australia, so restricted to winter uniforms only.
September 17, 2025 at 11:00 AM