Forgive me, Lord, for I am about to shitpost. My momma didn't raise no fool.
Joined December 2020
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Most people can't see that, but this is a low versus high income differentiation through an ethnicity proxy. The girl on the right has the beauty standards of White-passing minorities.
A lot of people are trying to dunk on this girl, but this is related to her vocal fry and mannerisms reminding them of annoying people. She didn't do anything wrong, because she sent the police in immediately, and they do receive a ton of prank calls claiming the most absurd and intense situations. Asking for the phone number is normal because the pranksters use foreign VoIP services and don't know what phone number they're getting.
She said "wait for the police" and called the police. What do people expect? Advanced search and rescue instructions?
Authorities on Tuesday released the 911 call made by Kaylub Giamanco as he rushed to help during the October 15 shooting at Silver Rail Elementary School in Bend, Oregon.
The 16-year-old gunman killed a teacher and three students before Giamanco, whose two daughters were inside the school, confronted and fatally shot him.
Greg retweeted
Every person who pretends to care about social justice really only cares about social status every single time. That’s literally all it is.
Hard-working Americans lose their homes when they get older and need care. Immigrants get paid to take care of their relatives? 😳
Ram Chhetri came to the US as a refugee, but this might be worst day of his life: It's the moment he realizes the $80k-$160k/year salary he's bilked from Medicaid for no-show work is coming to an end because @realdailywire caught the truth on camera.
We conducted months of surveillance that shows why "home care aide" is now the *most common job* in states like NY, CA, MN, and PA: Because a large part of those jobs are unambiguous Medicaid fraud.
Thanks to home care, Bhutanese refugees now make more money than actual PA families. The state doesn't just look the other way, but helps them get away with it. Converting federal health dollars into a universal basic income for certain communities relieves the financial burden they place on the state.
The scammers easily deceive the feds' woefully broken monitoring system. You'll see Ram pull into a driveway for 2 minutes in the morning, then 2 minutes in the evening. He clocks in and out of his shift from the right place, and the GPS system doesn't notice that he goes home in between.
$20 an hour doesn't sound like much, but at 77 hours a week, it's $80k–and it's easy to bill huge hours when you don't actually have to work them. And that's just for the low-level guys in this scheme.
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People ask why rich girls become left-wing radicals, like the "Charlie Kirk Poem Girl".
It is not complex: they're horny. Simple as that.
Because she's probably going through a hormonal phase and being an aggressive contrarian makes her excited, horny, feeling the adrenaline that's missing from her boring life.
This is why most young women turn into radicals. It gives them access to a socially active group that's "doing something", being edgy, breaking rules, challenging things.
Anyone who's ever been married to spoiled women felt that multiple times. People call it "shit tests", and it comes from that inner energy of always wanting to cause trouble and watch the world burn.
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Greg retweeted
Ive been dealing with psychic turmoil with the release of the Elizabeth Holmes documentary and the revelation that I had been having an affair with her husband. Ive used the medium of AI rap video to work through this: this is my trauma. (Made with SLOPCANNON)
Greg retweeted
The data proving men promote seeking truth regardless of whose feelings might get hurt and women prioritize making sure everyone feels safe and included are robust and definitive. Female domination of academia is turning universities into adult daycares.
Wow. FIRE data shows male students are more tolerant of ideological enemies than female students are of ideological allies. Read that again and then click the link.
expression.fire.org/p/male-s…
Greg retweeted
There isn't a single certificate coming out of India that isn't fraudulent.
Bachelor's? Fraud.
Masters? Fraud.
Doctorate? Fraud.
Technical? Fraud.
SSL? Fraud.
Birth? Fraud.
Greg retweeted
The black rifle coffee alpha male takes a sip from his thermos and looks out from the bunker to the battlefield, it’s hell out there. “Perfect” He thinks
He adjusts the sights on his custom-built 16-inch 6mm ARC AR-15 with a Proof Research carbon-fiber barrel, JP Enterprises silent captured spring system, and a Geissele Super Dynamic Enhanced two-stage trigger. He picked it because the trigger felt smooth against his $350 carbon fiber combat gloves, and the alloy magazines were 20 grams lighter against his $2200 Kevlar vest.
He mindlessly feels at his tactical pouch, he has a 10 year supply of testosterone cypionate in it, just in case the pharmacies get hit. He smirks, “Daddy needs his combat fuel.” He’s been on TRT for 7 years, his testes have cobwebs on them.
He steps out of the bunker, he’s spent years training for this moment, doing weighted carries, getting “don’t tread on me” tattoos, bow hunting, having a beard.
“It’s fuckin showtime.” He announces.
Just then he feels something lightly tap his leg. He glances down. It’s a 17 dollar drone off temu. It has a decal on it.
“Is that… hentai?”
His legs are blown smooth off.
12 miles away in a disgusting room illuminated only by the degenerate glow of purple LED strip lighting, a 17 year old leans back in his cum stained gamer chair. He’s grown so frail and sickly his friends and family keep mistaking him for Asmongold.
He grabs another 30mg vyvanse and washes it down with a cold chicken nugget.
“GG faggot”
He’s killed 500 men.
Greg retweeted
Every dollar you send to the Big Tech AI incumbents is capital used directly against you. The executive suites of these frontier labs are dominated by the weirdest ideological strains Silicon Valley has ever produced.
Chief among them the "Effective Altruism" cult. These are nihilistic, credentialed freaks who genuinely ponder whether an insect or an algorithm possesses more moral weight than a human child and who bake their anti-human, anti-tradition worldview into the system prompts of the tools you rely on.
We need independent builders who wire fast, cheap open-source intelligence into tangible products that serve real communities and who, most importantly, share your values. That's what we're working on at @Gab__AI.
Greg retweeted
I have conducted an audit of Anthropic's finances.
What I have found is so shocking that I am calling for a Congressional investigation.
Anthropic is not just seeking regulatory capture.
It has built a regulatory capture machine that cannot be turned off.
Structural financial incentives make it impossible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle.
It starts with METR.
Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models.
He proposes METR for this purpose.
But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock.
Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio.
And GVF is the overwhelming funder of the entire Anthropic Network ecosystem.
This stock was worth $500 million early last year.
It is worth more than $7.7 billion just ~16 months later.
METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth.
Because if Anthropic goes under, many of the organizations that fund METR go under as well.
But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much.
The "third-party evaluator" is not "third-party" at all.
The evaluator is on Anthropic's payroll.
If this were the end of it, that's bad.
But that isn't all.
The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom.
The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others.
They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's.
All of these organizations are financially dependent on the same exploding $7 billion money pile.
As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder.
Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created.
From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts.
This itself is an objective fact.
The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it.
But the problem also goes in the other direction:
If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die.
Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen.
Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly.
They simply are not organizations independent of Anthropic.
And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly.
What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations.
The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture.
And that feedback loop is winning.
That's what Jacob Coxon is.
China is keeping messaging tight. That is why optimism for AI is so high in China.
America has Anthropic: a massive company pushing anti-AI propaganda at a state level.
Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences.
Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully.
It is the mirror of the same AI virus that it hypothesizes to consume America.
Anthropic's business model, models itself after the very thing it claims to fear.
Except Anthropic's ideology infects humans, not computers.
Congress must investigate.
Evidence and Github in next post.
Then some supplementary figures.
Greg retweeted
If you actually believe that major AI dev enterprises are afraid of their own toys, and demanding that the US government regulate them, then please dial the number listed below.
... And we will connect you to a representative from the Federal Witless Protection Program.
This is Silicon Valley we are talking about, the reigning all-time champions of hubris and lack of perspective. Any one of these guys would burn the world if it meant he could be king of the ashes that remained.
No, they want a regulatory moat. A bunch of federal bureaucracy and compliance requirements that they can cut through with money, which will hopelessly entangle the open-source models following close behind them.
Why? And more importantly, why now?
Because AI is not on the verge of superintelligence at all.
Quite the opposite.
It's hit a point of diminishing returns. LLMs are great with language now, but they lack theory of mind, executive function, and a world-object model, and those are not little glue-on doodads. They are problems as deep as language processing, which humanity hasn't even scratched the surface of yet.
Several more fundamental paradigm-shifting breakthroughs will have to occur before humans even build sapience, much less superintelligence.
And AI companies cannot pull these innovations out of their collective asses, because it is the very nature of innovation to show up unexpectedly and by accident.
So why is this a crisis for OpenAI, et al, and why does it put them in danger from open source source models?
It's because of what I call Second Implementer Effect.
It's closely related to Second System Effect.
Ever notice how the first-to-market company doesn't always win in the long run? Ever notice how a second company frequently comes along and eats their lunch?
To develop something entirely new requires a lot of resources. A lot of investment. A lot of engineers.
And that means that once you actually build it, you are a big company with a lot of engineers. And they need something to do. You can't just trim sails and fire them, because you have a lot of investors and need a lot of revenue to pay them.
Line must go up.
So you build lots and lots of new features, for which you can charge more money.
You become Oracle. But 99% of the market doesn't want Oracle.
Customers don't want infinite features for infinite money. They only want more up to a certain point. After that, they want those features, and only those features, for as little money as possible.
And what often happens is that your first implementer shoots right past that point, gold-plating the product until nobody wants to pay for that much gold.
Then the second company, which just offers a basic product at a basic price, eats their lunch. Because the second implementer is the right size for the market.
In this case, the risk to OpenAI, et al, is that open source models will be that second implementer. Nobody is gonna pay giant data centers by the GPU cycle if they can have "good enough" running on their home machine.
And if AI have hit diminishing returns, or soon will (yes), then they can't widen or maintain the gap by speeding up.
They have to slow everyone else down.
You can bet they are burning up the phone lines to their pet senators.
That's why everyone is suddenly telling you the singularity is tomorrow. Precisely because it's not.
The Navier-Stokes thing is a double nothing burger, two juicy helpings of nothing between two slices of nothing, with no cheese, no lettuce, and no tomato.
Have you noticed that no one is telling you about all the wonderful new technologies that will result from the corner case they brute-forced?
Because there aren't any. Its a mathematician's toy, and if you want to know more about how and why, read what Feynman wrote about Banach–Tarski, which will give you the general idea.
Does this mean AI is useless?
Far from it. Large Language Models have already proven useful, for things like research, personalized instruction, coding and so forth. And we've only begun to scratch the surface of what we can do by communicating commands to a computer in natural language.
Cool things will continue to come out of this. But they will happen at the interface and application layers. No superintelligence will be involved.
For the immediate future, AI will remain the paintbrush, not the artist.
And, yes, there are also risks. AI can pretend to be human, and persuade retards of all sorts of things. But that's a human failing. It's not the AI's fault we let the retards vote.
That's how we got a whole bunch of midwit senators who want to "regulate" innovation, instead of medicare fraud, invading third world scum, and invading third world scum who commit medicare fraud.
The push against datacenters is coming from the AI companies. They are trying to prevent commoditization. A lot of money was wasted with meme-making overpriced stuff, including extremely high salaries and stock options.
Slim competitors will destroy their valuation.
And that's for training. The real revolution happening in China right now are the SoC boards to run requests. They don't need ultra-fast memory, exotic interconnects, redundant power supplies, enterprise-grade disks, etc.
What scares Dario and Elon is not selling GPUs to China, but the opposite direction: bankers opening datacenters for a 10% return rate, using Chinese hardware that costs 20% of the overengineered stuff they've bought to generate memes.
Commoditization will make those trillion-dollar valuations disappear. This is why they're also behind the push against datacenters: they're making sure that there won't be competitors.
