Kpop jpop etc abuse of teens
They’re abusing preteens as well, some of the new debuts look like they should be on the playground
Once ai goes tits up, the bourgeoisie will pivot to “quantum computing,” which won’t be actual quantum computing, but they will spend years saying that it is, and all the usual NFT bros will go for a ride on their new pump-and-dump scheme.
I’m starting to think that they are just gonna go down with AI. Like, even though it can’t replace workers, they’ll just do it anyway. Everything will be shittier and shittier, but for a few glorious months, payroll will be really cheap.
Yeah, they’ve been trying this QAI pivot for a couple of years now but the lack of a Minimum Griftable Product is stopping them.
Covid neurodegeneration and inflammation induced strokes and dementia is really something people don’t talk about at all even in medicine unless it research.
It sucks that by the time we have more long term data, so much damage will have already been done and it’s all preventable
I do feel bad for the people unknowingly being disabled by covid right now but at the same time, they abandoned the rest of us and refuse to listen
Pretty sure I heard that Kamala and her husband being a weird swinger couple was an open secret in California but that’s pretty tame by politician standards
i heard their daughter is chopped.
i dont know what this means and im scared to ask
I’ve heard that Max Blumenthal is a domestic abuser from a pretty reliable source. It’s certainly no surprise that anyone with any integrity can’t stand to be around him.
why don’t we like blumenthal? thankfully don’t know anything about alt-media drama, but his confrontation with blinken was fire.
Anti-vax and plays to right-wing great-man theory stuff a bit too hard.
! classic tell-tale signs of an abuser.
Musk is on a lot of ketamine. Many of his more baffling moments can be described by drugs and lack of sleep. Trump is also chronically sleep-deprived, and on a lot of meds (related: Congress basically has access to infinite pills, and many of them take advantage of that).
I got to thinking about this topic after watching a video about Liver King where LK reveals that he doesn’t sleep nearly enough (and what he does get is low quality, he has a bipap and doesn’t always use it) and the presenter speculated that the videos where he was rambling and threatening the life of Joe Rogan were related to lack of sleep making him incoherent. It makes a lot of sense - even if it’s not the proximate cause it’s undeniably an aggravating factor. This shit is probably super common and frequently debilitating for many modern celebs, for whom being “on” 24-7 is a requirement in a way that it wasn’t ten years ago.
That whole “covfefe” thing was clearly Trump passing out mid-tweet
Chris Pratt is an antivaxxer, probably most of the Hillsong associated celebrities are
Narco Rubio is on coke. I legit couldn’t believe his behavior during a state department briefing.
his brother was a coke smuggler
Much of Trump’s entire base are on meth or amphetamines of some kind
I don’t think there was such a significant a change in the “secrecy” aspect. there was a change of tolerance. like I mean, we found out after the tolerance began to change (and/or as part of changing it). I understand the phrase “open” secret to describe a situation where the factual premise for anti-sexpest action was available to all or most of the people who were in a position to do anything about it. they simply chose not to because of philosophical or self-interested reasons. those reasonings may have changed over time.
the “secret” vs “public” aspect is only relevant at all because many of the people are involved are famous. the survivors have platforms from which to speak, and connections to amplify. the perpetrators are subject to much more scrutiny than some other random person would be. the public in general is interested, now moreso than before due to changes in social norms.
I guess you are asking about sexpest boss situations. if not, one big “open secret” is climate change.
I think you can find similar dynamics all throughout capitalism. A dichotomy where 1 person (let’s be real: usually a man) has power based on age/sex/race/experience/connections/wealth/influence/fame/legal/institution/credentials and there is a steady stream of people they find sexually desirable who are in a position where they must please, and have little realistic recourse for offences. Where convention facilitates these pairings to spend time alone and unobserved by others. But the specific context could be anything. Could be competitive bridge. Working at a car dealership. Getting in with your trade union. Being allowed to plate the desserts.
But it won’t be a national scandal if the chef at your local $30/plate restaurant is getting the new girl drunk and high so he can fuck her with the vague promise that she might gain some favor and advance in the kitchen.
There are also “open secrets” where people do take the actions that their relative power allows, but it’s still kept quiet because the victims don’t want the attention and risk of coming forward about it. Like a few years there was some controversy about a particular streamer getting kicked off twitch over unspecified reasons, which I only learned about (I’d never heard of him or seen anything he did, and couldn’t tell you who he was; I don’t think it was Dr Disrespect, but it was around the time he was kicked off twitch and it was obviously the same sort of crime being done) because a games industry insider I was talking with brought it up and was basically like “yeah it’s exactly the reason that’s the first thing anyone assumes, and that’s why this guy has been banned from all our events and a whole bunch of other events for years already. Everyone knows, but the victims don’t want to come forward so no one has actionable details beyond just keeping him out of stuff.”
Generative AI is just tech bro rebranding of statistics. It’s basically just actuarial tables rebranded and applied to Moby Dick and Wikipedia.
You remember linear (or polynomial) regressionse from high school where you had to find a function that closely mapped the data provided? That’s “training.” Now that you have a trained model look at the location of your input data, choose a spot to the “right” on your regression and pick a random word that’s close to the regression.
Good luck getting any “intelligence,” let alone a “general” one out of that.
Yes, that’s what “neural networks” in computing are, a method of systematically making a machine that does novel pattern matching tricks without needing to understand how to make that pattern matching machine yourself. Which is cool, and has useful applications, and it starts to do some scary things when scaled up, but it’s hitting a clear limit of what just making its numbers bigger will do and all the grifters keep doubling down on just throwing more and more and more processing power at this dead end instead of admitting they were wrong and going back to rethink their fundamental approach (because the grifters don’t care and don’t know shit, and they’re the ones controlling everything).
Some good use cases of ML are crowdsourced computing projects like protein folding (folding@home) and exoplanet hunting (TESS) by manually reviewing starlight spectral plots. Pure pattern recognition, no genuine intelligence there.
Also OCR, speech-to-text transcription, and generally any sort of “find and point out/parse patterns in this huge amount of noisy data” task. It’s never foolproof, but it has massively improved all of those. The problem is just the way LLMs are being misused to try to make a worse search engine and then pretend that this shitty, extremely unreliable chatbot can replace workers. Also the insane costs of trying to roll out the infrastructure for them to just continue being awful on ever greater scales and the knock-on effects that’s having on everything even remotely related.
Back in college I took a couple machine learning classes. After the second I understood where the market would eventually end up. It’s a pattern matching machine, if you were to provide infinite data and infinite compute, you could have the machine do enough regression to match the presented surface of whatever the data represented.
I sat back and was like “oh this is sorta cool but sorta dumb”. You can’t create a novel thought process from this, you are limited by what data you can collect and label, and labeling data is an extremely time consuming process because it relies on humans. But also, you don’t really need labeled data if you don’t care about correctness. You can get away with feeding the regression machine a load of data and label more generally based on how close certain points are in a vector space. It’s how “sentiment analysis” works. You can take IMDB’s database of reviews that each have some words and a star rating, and use the star rating to categorize in “good” and “bad”, then average out the distance between certain words and the frequency they appear within the “good”, “mid”, and “bad” spectrum.
Suddenly, relationships show up, “lawyer” is close to “criminal” in the 3d space.
What modern LLMs do, is just layer this same system with a few short-circuits called context windows. It basically maintains a space of relevance within the broader context of what the model was trained in. For the IMDB example, lets say you’re asking a machine about action movies with x, y, z characteristics, the context maintains those to short-circuit the larger model to retain ‘focus’ and give you near-by relationships.
With enough data you can recreate language based on distance markers and frequency. But back to my original point, it’s the surface level of what it was trained on, a plaster mask. The mask doesn’t have the complexity of the muscles and skin it was formed on, it’s shallow.
That all being said, the ability to make a shallow mask is useful for cross-referencing large amounts of data. The disaster strikes when it’s treated as an all knowing god and used to do military strikes.
The disaster strikes when it’s treated as an all knowing god and used to do military strikes.
Or fire people.
We gave computers a stack of transparencies and told it to pick a couple at random to make something new and we pretended it was smart. And now people really be thinking humans aren’t needed for production anymore.
Personally I’m kind of surprised there hasn’t been a big thing about ballet, opera and theatre considering they kind of pioneered the whole thing. It’s such an open secret there’s short films about it (CW: child SA)
I found a YouTube link in your comment. Here are links to the same video on alternative frontends that protect your privacy:
lindsay graham is a flaaaaming homosexual… not that theres anything wrong with that, by itself…
he’s a comprehensively bad dude. you know a guy like that is a nasty, awful homo just like most of the men he works with are nasty, awful heteros. there is no reason to expect deviation.
you could have just left it at ‘he’s a comprehensively bad dude’; your second sentence just reads like you’re being homophobic. I know what you are meaning to say though, so I am gonna give you an opportunity to edit this instead of just removing the comment outright - don’t disappoint me comrade
You mean because of the specific word “homo” in the sentence? Curious, because English isn’t my native language and I haven’t really been able to grasp in what contexts it’s usable. Pretty much only seen it used derogatorily. But as a shortening of the opposite of hetero, I could see it being like recaptured or something idk
Honestly tho, the amount of DL men working for that Administration is genuinely gross.
Protected but not bound by the law
