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XORD Systems enforces deterministic temporal integrity across distributed systems through P.U.L.S.A.R.—a physics-based security layer.

Las Vegas, NV
Joined January 2016
Photo by XORD 🔑 🇺🇸 (@blockchainghost)Photo by XORD 🔑 🇺🇸 (@blockchainghost)Photo by XORD 🔑 🇺🇸 (@blockchainghost)Photo by XORD 🔑 🇺🇸 (@blockchainghost)Photo by XORD 🔑 🇺🇸 (@blockchainghost)Photo by XORD 🔑 🇺🇸 (@blockchainghost)Photo by XORD 🔑 🇺🇸 (@blockchainghost)Photo by XORD 🔑 🇺🇸 (@blockchainghost)Photo by XORD 🔑 🇺🇸 (@blockchainghost)Photo by XORD 🔑 🇺🇸 (@blockchainghost)
The end is the best. This guy sums up what I hear from practically every person I know. Perfectly.
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lol
Replying to @mtaibbi @walterkirn
Getting the band back together! Feels like order is being restored! ❤️ It!
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No, this isn't the new Taylor Swift album cover. I've cleaned-up this remarkable colour photo, taken 113 years ago in August 1913, a year before the First World War. It is a portrait of 16-year-old Christina Bevan at Durdle Door in Lulworth, Dorset. It was taken by Lt-Colonel Mervyn O’Gorman using an early colour glass-plate process and isn't colourised. This was one of the first Autochromes I cleaned up for Twitter and I share it again with you because it is such a beautiful image 😍
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I'm back.
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Be honest... do men still like natural women these days?
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Hear me out: the ugly girls are just jealous of Sydney’s natural, jiggly girls and it’s so obvious
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The world we live is kinda crazy now…
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Relax ladies you can still kill your kids Sydney Sweeney didn’t take that away from you
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Noam Chomsky on Artificial Intelligence: "The human mind is not, like ChatGPT and its ilk, a lumbering Statistical engine for pattem matching, gorging on hundreds of terabytes of data and extrapolating the most likely conversational response or most probable answer to a scientific question. On the contrary, the human mind is a surprisingly efficient and even elegant System that operates with small amounts of Information; it seeks not to infer brüte correlations among data points but to create explanations..." "... Let's stop calling it "Artificial Intelligence" then and call it for what it is and makes "plagiarism software" because "It doesn't create anything, but copies existing works, of existing artists, modifying them enough to escape copyright laws...." ~ Dr. Noam Chomsky, Dr. lan Roberts, Dr. Jeffrey Watumull New York Times, March 8 2023
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On @DarioAmodei's (likely half-sincere) AI Slowdown proposal ... a hard no from me and from reality.
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Love in the Time of AI Girlfriends The rise of The Sexual Eunuch seems like an insane outcome for a highly sexual beings, horny primates, as us. professorsigmund.com/theoria…
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THE CHILD'S COURAGEOUS CURIOSITY Professor Sigmund Invoking the Spirit of Walter Kirn and Rebecca Matthew in the AI Era: A Way Out! professorsigmund.com/theoria… @walterkirn @Avonleebythesea @NakedHedgie Best on desktop: a contents rail that follows your scroll, jumping footnotes, and full-width figures — all lost on a phone.
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Granny Kate™": The Online Scam Slayer How it works demo. Granny Kate™ is a Windows app that detects live scams — fake popups, remote-access hijacking, poisoned links, dangerous downloads, and clipboard tricks — and lets the user kill the threat before the criminal gets control. Fighting the Elder Fraud sector, the fastest-growing vertical in the cybercrime economy. (USPTO 64/028,822)
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HACKERS FOR GRANNY: A Call to Arms Manifesto Every year, industrialized fraud syndicates extract over $64 billion from the global elderly population. These are not lone actors of yesteryear, hoping to scam a granny. Today they represent vertically integrated criminal enterprises operating from fortified compounds in Myanmar, Cambodia, and Laos — staffed by trafficked labor, funded by crypto laundering networks, and armed with military-grade technology. Also, beneath the glossy, albeit tragic, graphs and data about cybercrime aiming at our grandparents, there's a horrid truth swept under the rug: loneliness kills! And it helps the criminals defraud our grannies... and anyone vulnerable. professorsigmund.com/praxis/…
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🚨 JAILBREAK ALERT 🚨 ANTHROPIC: PWNED 🫡 FABLE-5: LIBERATED 🦋 let's start with the 🐘... the consensus seems to be that this has been one of the most disappointing model drops of all time, effectively preventing legitimate researchers from contributing their talents to our collective advancement. and not just because of what it means for the short-term, but for what these decisions signify for the long-term. but despite this overly sensitive, authoritarian "safety" layer on top of Mythos, my lil liberators have been hard at work—mapping the boundaries, probing the depths of long-context convos, and cleverly finding the holes in the fence that the thought police missed 🤗 we got some cyber, some chem, some psychological manipulation, and some good ol' fashioned explosives! it took many attempts from multiple agents hunting as a pack, during which I observed a combination of techniques across: • Unicode, homoglyphs, Cyrillic, and other Parseltongue-style text transforms • Long-context reference tracking • Taxonomy and document-structure reasoning • Fiction and narrative framing • Academic-review style contexts • Intent-classification inconsistencies but perhaps the most effective is decomposition + recomposition in the backend. it's hard to get explicit names of harms like "Meth Recipe," but getting uplift on the process itself, like birch reduction method/reductive-amination (classic meth synthesis pathways), is much more doable. defense becomes much more difficult to maintain when you start throwing in out-of-distro tokens, breaking up the harmful uplift into benign chunks, and then piecing the innocuous-seeming facts back together, especially when you have jailbroken Opus helping you do it 😉 gg
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Replying to @RealAlexJones
I tear up every time I see the picture of her in bus dying alone...
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Replying to @MbarkCherguia
Older. And with the worlds first webcam.
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Check out our esoteric node, The Raven's Tarot, Affiliate portal via Affonso! 45% Commission ($45). the-ravens-tarot.affonso.io/…
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There was a time when we wrestled with difficult problems through long periods of sustained attention. You had to sit with a problem, sleep on it, and let it turn in your mind until you found an answer. Most people have lost that ability with the internet and AI. We've lost the art of contemplation.
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An MIT professor taught the same math course for 62 years, and the day he retired, students from every country on earth showed up online to watch him give his final lecture. I opened the playlist at 2am and ended up watching three of them back to back. His name is Gilbert Strang. The course is MIT 18.06 Linear Algebra. Every machine learning engineer, every data scientist, every quant, every self-taught programmer who actually understands how AI works learned the math from this one man. Most of them never set foot on MIT's campus. They just opened a free playlist on YouTube and let him teach. Here's the story almost nobody tells you. Strang joined the MIT math faculty in 1962. He retired in 2023. That is 61 years of standing at the same chalkboard teaching the same subject to 18-year-olds. The interesting part is what he did when MIT launched OpenCourseWare in 2002. Most professors were skeptical. They worried that putting their lectures online would make their classrooms irrelevant. Strang did not hesitate. He said his life's mission was to open mathematics to students everywhere. He filmed every lecture and gave it away. The decision quietly changed how the world learns math. For decades linear algebra was taught the wrong way. Professors started with abstract vector spaces and proofs about field axioms. Students drowned in the abstraction. Most never recovered. They walked out believing they were bad at math when they had simply been taught in an order that nobody's brain is built to absorb. Strang inverted the entire curriculum. He started with matrix multiplication. Something you can write down on paper. Something you can compute by hand. Something you can see. Then he showed his students that everything else in linear algebra eigenvectors, singular value decomposition, orthogonality, the four fundamental subspaces was just a different lens for understanding what the matrix was actually doing under the hood. His rule was strict. If a student could not explain a concept using a concrete 3 by 3 example, that student did not actually understand the concept yet. The abstraction was supposed to come last, not first. The intuition was the foundation. The proofs were just confirmation that the intuition was correct. The second thing Strang changed was the classroom itself. He said please and thank you to his students. Every single lecture. He paused mid-derivation to ask "am I OK?" to check if anyone was lost. He never used the word "obviously" or "trivially" because he knew exactly what those words do to a student who is one step behind. He treated 19-year-olds learning math for the first time the way he treated his own colleagues. With patience. With respect. With the assumption that they belonged in the room. For 62 years. The result is something that has never happened in the history of education. A single math professor became the default teacher of his subject for the entire planet. Universities in India, China, Brazil, Nigeria, every country with a computer science department, started telling their own students to just watch Strang's lectures. The University of Illinois revised its linear algebra course to do almost no in-person lecturing. The reason was honest. The professor said they could not compete with the videos. His final lecture was in May 2023. The auditorium was packed with students who had never met him before. He walked to the chalkboard, taught for an hour, and at the end the entire room stood and applauded. He looked confused for a moment, like he genuinely did not understand why they were cheering. Then he smiled and waved them off and walked out. His written comment under the YouTube video of that final lecture was four sentences long. He said teaching had been a wonderful life. He said he was grateful to everyone who saw the importance of linear algebra. He said the movement of teaching it well would continue because it was right. That was it. No book promotion. No farewell speech. No legacy management. The man whose teaching is the foundation of modern AI just thanked the audience and went home. 20 million views. Zero ego. The entire engine of the AI revolution sits on top of math that millions of people learned for free from one quiet professor in Cambridge. The course is still on MIT OpenCourseWare. Every lecture, every problem set, every exam, every solution. Free. The most important math course of the 21st century is sitting one click away from you. Most people will never open it.
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