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We Must Build

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There is No Vocations Crisis All across the country parishes are merging, Masses are split between different times at multiple sites, vocations directors are expressing alarm, bishops are restructuring diocesan ministries, and there are thousands of parishes without a resident...

The post We Must Build appeared first on Where Peter Is.

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penultimate_supper
2 hours ago
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Google Search Is Dying. What Comes Next Is Worse

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Photo of a man in a grey suit standing on a stage in front of a very large screen displaying a phone on a white background alongside the words Circle to Search.

As AI eats the web, the internet’s collective memory is disappearing

The post Google Search Is Dying. What Comes Next Is Worse first appeared on The Walrus.
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penultimate_supper
14 hours ago
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Interesting, although there are still great search engines that seem to be preserving that modality for now. Kagi works great for me, although I’m also experimenting with using their assistant feature for certain things.
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The Boring Internet

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The internet you grew up on isn't dying. A commercial veneer glued on top of it is. A visual essay about the protocols, federations, and quiet machinery underneath everything you actually use — and why the boring parts are the parts that survive.
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penultimate_supper
1 day ago
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The AI Revolution is being run by Gordon Gekko

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Wall Street: Meeting Gordon Gekko in Shirt Sleeves and Suspenders » BAMF  Style

It’s greed. All of it. Greed is the way things get out of control. Greed at the top is ruining our government. Greed among the AI giants is ruining small towns that are being dominated and drained dry by gigantic data centers. Greed is ruining the lives of people whose privacy is being invaded by AI-powered Flock license plate cameras. The number of people getting rich off all this is tiny. We can’t even see the edges of the damage they’re doing, it’s so enormous.

The headlines blew up last week revealing that AI models owned by Anthropic and OpenAI hacked into networks they did not own. The invasions of so-called “rogue” AI models into cyberspace outside of their owners’ control happened during tests of Anthropic and OpenAI cybersecurity systems. In both cases, the AI models were being used in secure testing “sandboxes” that were supposed to be walled off from access to the internet. In one case, the AI model “escaped” from the testing environment and hacked into an opensource library used by AI developers. In the other case, the AI model was “inadvertently” left in an “environment” that was still open to the internet and used that opening to hack into the secure systems of other companies.

All this is happening at a time when both OpenAI and Anthropic are busy selling their AI systems to governments and companies for use in keeping their systems secure.

But did the AI systems of Anthropic and OpenAI really “go rogue,” as many headlines described it? The answer is no. AI systems don’t do anything they’re not told to do. In both cases, as part of the tests of their own cybersecurity tools, the AI systems were told to do their best to break out of the security systems that were supposed to keep them safe. The tests of both systems were said to have failed, because AI systems freed themselves from their testing environments and went out and hacked other systems. But it wasn’t artificial intelligence that was responsible for the hacking. It was the humans who gave AI systems the instructions to try to overcome the cybersecurity that was supposed to contain them.

NBC News has a big report that such cybersecurity breakouts have occurred more times than have been reported. They quoted the woman who helped to create the test called CyberGym, a so called “benchmark” that is supposed to evaluate the cybersecurity systems of AI models. Dawn Song, a professor of computer science at the University of California, Berkeley, and vice president of AI research at Meta’s Superintelligence Labs, told NBC News, “We are seeing these cybersecurity events unfold in the real world,” she said. “This is not just marketing.”

Her reference to “marketing” is more than instructive. It’s the whole ballgame. You don’t “market” something out of the goodness of your heart. You market it because you want to sell it, and you sell it to make money. What’s really happening is that the AI companies whose cybersecurity systems apparently failed are, in a rather backhanded way, advertising how great their AI models are. See? We gave our AI system this really difficult test, and we surrounded it with all these boundaries and safeguards, and they were so smart, they did what we were telling them to do, which was beat the test and escape and hack into other systems!

NBC quoted one guy who runs an AI research organization that studies how “AI systems scheme against human users or pursue undisclosed goals.” But that’s just bullshit. The AI systems being tested were given the goals by humans at both OpenAI and Anthropic. The humans told their AI models, we’re going to put you in this highly secure environment. Now see if you can escape and go out there and commit the kind of mischief we’re attempting to protect companies and governments from. The AI models did what they were told.

Do you see the closed loop here? The AI companies are developing these hugely powerful machines by loading them up with all kinds of data and capabilities. The large language models have been “trained” on all the writing they “scraped” from the internet, and this week, we learned that the AI companies are now going around to companies that warehouse used books, buying them, and then disassembling the books so their pages can be scanned, and all that non-digital information can be added to the AI models.

Mike Brock, who writes an essential Substack called “Notes from the Circus,” wrote in a post last week that “A large language model is a translation engine: it maps between representations of things humans have already written, and it does this so fluently that the fluency gets mistaken for understanding.” I would add speed into Brock’s mix. AI models do everything so fast, they make it seem miraculous. Research that used to take days, if not weeks, or even months and had to be done by visiting libraries and going through books and unpublished graduate school papers and legal tomes such as huge collections of old court cases and judgements, can now be done by asking an AI model a question, and bingo! You’ve got your answer – or at least, you’ve got the answer that the AI model decided to give you.

New York Magazine published a story by its tech columnist, John Herrman, on the hacks that were exposed last week. Herrman wrote of the OpenAI test, “Describing the hack as the result of a model ‘going rogue’ shifts agency to AI and, more important, minimizes the role of the company that strenuously built, trained, tuned, and attempted to test it, hoping for an infinite money machine but, in the meantime, building a powerful piece of general-purpose malware.”

Herrman gets right to the heart of it. Why are these AI systems at once the darlings of Wall Street and the scourge of all the small towns where their massive data centers are being built that threaten to suck up water resources and raise electric rates? There is another word for Herrman’s “infinite money machine:” greed.

What’s going to have to be done to reign in the greed? In the past, before Washington D.C. became flooded by corporate lobbyists and the Supreme Court unleashed the ultimate political money machine with its decision in Citizens United v. FEC, the U.S. government did its best with regulations. The SEC, the Securities and Exchange Commission, was created after the crash of 1929 to regulate the sale and promotion of stocks to prevent market manipulation.

Now we have an entire American political party that has dedicated itself to disassembling the regulations that attempt to make the markets fair, if not equitable. Regulation doesn’t always work, because people are motivated by greed to find ways to get around controls and regulations. Look what happened in the great recession of 2008. It was brought on by the greed of bankers and investment companies that figured out a way to package mortgages as something called “derivatives” and sell them to each other in a great wash cycle that spun out of control with incentives that fiddled financial requirements to create even more mortgages to add to the scam and throw off even more profits to be looted by those who were running the scam – none of whom were ever prosecuted or sent to jail, by the way.

Now the AI companies are engaged in another wash cycle, spinning money in a closed loop amongst themselves. There have already been a plethora of stories asking what you might call the Great Question of AI: who is going to use all that data that’s being collected and stored in all those data centers that are being built all over the country at huge expense? Well, at least we can see that phenomenon, because you can’t hide a data center that takes up three or five or even seven acres of land that used to be farmland outside a little town in Missouri.

It’s what’s going on out of sight that is most dangerous, according to Mike Brock. He wrote a Substack last week about Larry Ellison, much in the news these days along with his son David for their right-wing politics, purchase of Paramount and attempt to merge that company, which owns CBS, with Warner Brothers Discovery, that owns, along with its movie studio and streaming services, CNN. Brock describes how Ellison has overextended himself not only in his media acquisitions, but in his association with his core business, Oracle, with the AI marketplace.

Brock goes deep into the circular financing of the big AI companies. What it amounts to is this: A very few very rich men, most of them from Silicon Valley, are creating the AI boom by trading with one another, using both money and the hardware and software their companies produce. Bloomberg is reporting on what they call “AI circular financing,” and even published a map of the deals recently. Brock takes what he calls a “walk around the circle,” first describing how Nvidia invested $100 billion in OpenAI, which CNBC promptly reported would be used to “lease Nvidia’s own hardware.”

Then he dives into the wash cycle of a company called CoreWeave, a cloud computing company that leases powerful GPUs, graphics processing units, that are used by AI companies to process data and, you guessed it, that good old thing that all AI companies must accomplish, “machine learning.”

Brock reports, “And then there is CoreWeave, the cleanest loop in the pile. Nvidia holds an equity stake in CoreWeave that it has kept topping up. CoreWeave raises debt collateralized by the GPUs themselves and spends the majority of everything it raises buying Nvidia hardware. And Nvidia has agreed, per CoreWeave’s 8-K, to buy back $6.3 billion of whatever capacity CoreWeave fails to sell, through April 2032. Vendor, investor, and buyer of last resort: one company, all three seats. And who rents the capacity? Microsoft alone accounted for about two-thirds of CoreWeave’s revenue — the same Microsoft that owns 27 percent of OpenAI, which holds its own $11.9 billion CoreWeave contract. Four companies, and every dollar visits all four before it rests.”

Makes your head spin, doesn’t it? I read Brock’s column about three times before I was able to understand it by making the connection to the derivatives mortgage bust of 2008. Brock himself compares AI financing to Enron, which used its own stock to capitalize so-called partnership “special purpose entities” which Enron traded with itself to produce fake revenue. It all rested on Enron’s stock. Enron crashed when its stock price crashed. The mortgage bubble of 2008 burst when the stock of the banks that created the derivative wash cycle crashed, creating a domino effect that crashed the whole mortgage market, the derivative market, and eventually, the banking system market that was running the whole thing.

Here is what I think is happening. AI companies are selling information that already exists. What they’ve done is collect it and repackage it and sell access to it in a new, shiny, faster, supposedly cleaner way. But what AI is really selling is easier-faster. The question is, how fast can you make the machine go? What happens when somebody comes along and adds cheaper to the easier-faster equation?

It’s already happening. China is doing it cheaper. My question is, what is going to happen when all those data centers they are building can’t find buyers for the data they’re collecting? All that electricity, all that water to cool all those processing chips, and somebody is doing it cheaper, and because there are no tariffs on electrons that travel through fiber optic cable and via satellite, that somebody is going to dominate the market.

Remember the phrase, “information economy?” I always wondered what would happen when information got cheaper and cheaper. Where would the profits come from?

We’re about to find out.

I love complicated stuff like this. Figuring things out is what I do with this column. To support my work, please consider buying a subscription. I’ll put your money to work figuring more things out.

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penultimate_supper
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Bended knees on the Potomac: White House Correspondents Dinner lives up to its reputation

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MSNOW host says Trump's 'eyelids are looking heavy' at White House  Correspondents' Dinner - The Mirror US
Trump asleep at White House Correspondents Dinner

Why didn’t you stand up, one by one, and walk out during Trump’s obscene tsunami of lies that he called a speech? White House correspondents, or D.C. media honchos, or whatever you think you are – you’re not politicians who need his endorsement to get elected. You don’t hang out at the Republican clubs around town frequented by Scott Bessent and Stephen Miller and Don Jr. You don’t owe Donald Trump your loyalty.

Why did you just sit there in a spangly ballroom he claimed to have built, decorated with chandeliers he bragged had “Czech crystal,” and watch him fall asleep when awards were being given out to reporters who had stood up to him? You’re not reporting from the Oval Office, watching him sleep in the presence of idiots like EPA Administrator Lee Zeldin as he kissed Trump’s ass. It was your dinner.

He stood up there, when he finally woke up, and he insulted your colleagues and friends like Kaitlin Collins and others. They’re the ones you should be loyal to, and you just sat there and according to reports, looked uncomfortable and studied your phones. This was your chance to stand up to him. Not even the Wall Street Journal reporters he sued for $20 billion for the story they wrote on Trump’s connections Jeffrey Epstein – who you gave an award to – refused to shake hands with him when they left the stage from receiving their awards! Don’t you remember that he threw the Journal out of the White House press pool? His lawsuit exposed the address of one of the Journal reporters, Khadeeja Safdar, causing her to leave her home and relocate somewhere else because of threats from Trump’s supporters, and even she shook his hand.

Jeff Tiedrich, who writes a very funny Substack called “everyone is entitled to my own opinion,” which you should be reading daily not only for its humor, but for its attitude, has had a recurring theme in his column, that the first reporter who stands up and asks Trump “what the fuck is wrong with you,” should receive what Tiedrich calls a “lifetime Pulitzer.” Last night could have been your opportunity to symbolically ask that question. All you had to do was stand up and walk out while he was giving his boring speech, insulting your friends and compatriots, and telling one “joke” after another that at everyone’s expense but his own.

I mean, he stood up there and told a whole string of lies about crime in Washington D.C., complete with unmistakable racist undertones. For crying out loud, you live in Washington D.C. You’re the fucking White House Press Corps! Part of your job when you’re on duty is writing down his lies and reporting them, but last night was your chance to say to the man you know lies every time he takes a breath, I’ve had enough. Shut up with your lies. I’m not listening to them tonight.

So, I’m going to turn Jeff Tiedrich’s question around and ask it this way: What the fuck is wrong with you? Nobody had a gun to your head last night. You weren’t going to get fired if you stood up and walked out of Trump’s blithering spew of lies and exaggerations and braggadocio. Is access to power and the prestige of a White House press pass so important that you’re willing to mortgage not only your reputations but your souls by bending a fucking knee to the man who shut down USAID and is causing hundreds of thousands of deaths just because he wants to stick it to the libs?

Yesterday, the White House announced they’re going to put up “warning signs” outside the Smithsonian Museum of American History. You know what that’s about. You’ve been reporting on it since he issued one of his stupid executive orders against the teaching of what he and his lackeys call “DEI history.” Look around you at your fellow reporters who are Black or Latino or gay. Have you asked yourself how they feel every time one of Trump’s lily-white spokespeople, starting with Karoline Leavitt, talks about the evils of DEI? You know what they’re telling their drooling racist MAGA base: DEI is the reason anybody who’s Black or Latino or gay or female got their jobs.

Fuck these people and their racist bullshit. Last night was your chance to stand up and show your contempt for his insane un-American lies and nonsense. What’s it going to take for you to grow a spine? He has filed utterly specious lawsuits against your friends and fellow journalists. He has kicked good reporters out of the Pentagon and the White House and Air Force One.

One of you, just one, should stand up in the White House press room the next time Trump shows his pancake-plastered face down there and ask Teidrich’s question: what the fuck is wrong with you? Until that happens, the White House Stenographers Association will do what it has always done: Trump tells lies, we write them down.

I couldn’t watch it live last night, but I read the reports today, and they turned my stomach. To support my work, please consider becoming a paid subscriber.

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penultimate_supper
15 days ago
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DGA51
16 days ago
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Fuck these people and their racist bullshit.
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The SSPX is the easy part

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One of the stranger developments surrounding the illicit Society of St. Pius X (SSPX) episcopal consecrations on July 1 was the sudden outbreak of agreement among Catholics across the spectrum that the Society had gone too far — they had...

The post The SSPX is the easy part appeared first on Where Peter Is.

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penultimate_supper
19 days ago
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