Aldo Chable

A wool jumper, made in 1985, washed in cold water once a month, worn through three decades of British winters, would currently be sitting in someone's wardrobe doing fine. A polyester fleece, made in 2026, machine-washed weekly, will start to lose its structural integrity within three to five years, shed an estimated 700,000 microfibres per wash into the water system, and end its life in landfill where it will persist for approximately 200 years. The wool jumper: - Came from a sheep - Required grass and rain - Will biodegrade entirely within three years of being buried - Will keep you warm when wet - Will not melt if exposed to a flame - Will probably outlive you - Cost £80 in 1985, which is £230 today, and represents the entire jumper budget for the next forty years The polyester fleece: - Came from an oil refinery in Texas - Required hexane extraction, polymerisation and dyeing in three different factories on three different continents - Will not biodegrade in any human timeframe - Will get cold and clammy when wet - Will melt against your skin if exposed to a flame - Will be in landfill within five years - Cost £40 in 2026, which means you'll buy ten of them across the next forty years for a total of £400, and the planet will still be eating the residue in the year 2226 But yes. The sheep is the problem. The sheep, standing in a field in mid-Wales, growing a renewable fibre from grass and rain. The sheep is the problem.

"Make sure that you are in a situation where the constant mistakes are small and can be used for something." - Nassim Nicholas Taleb

Los zurdos se ponen furiosos con Maru Campos porque en Chihuahua dos agentes de la CIA realizaron operaciones terrestres. Pero celebraron que AMLO acudiera a reuniones a Badiraguato con gente ligada a organizaciones delictivas y saludara fraternamente a la mamá del Capo criminal más grande que ha tenido México. Según la izquierda eso es humanismo… La “soberanía nacional” es una simple excusa para proteger a sus socios criminales.

A Sheinbaum le enfureció que @MaruCampos_G desmantelara un narcolaboratorio en Chihuahua. Dice que se violó la ley, que fue un operativo fuera del marco legal y que se violó nuestra soberanía. ¿En serio? Porque fuera de la ley están los criminales… y contra esos nunca vemos la misma indignación. Ellos sí controlan territorios completos vulnerando nuestra soberanía todos los días… y ahí no hay conferencias, ni escándalo, ni furia. Entonces no les molesta que alguien viole la ley, les molesta que alguien enfrente a los delincuentes. Y es falso que defiendan la soberanía, defienden a sus socios del narco.

YOUTUBE DELETED 13 YEARS OF WWII HISTORY @Panzerpicture (155K subs) pure archive footage of tanks + veteran stories was nuked by AI for “child sexual abuse” and “harmful content with minors”. Zero kids. Zero violations. Just historical footage. We need a REAL human review NOW! If you hate Big Tech erasing history: LIKE this post COMMENT “Restore Panzerpicture” REPOST this Flood the Google Support thread: support.google.com/youtube/thread… if AI censorship of history must STOP! At this moment Google has shut down comment, but you can still click on " I have the same question" #RestorePanzerPicture #YouTubeCensorship #WWIIHistory #SaveHistory

some people stress about clothing prices when they don't have to. you're stressed bc you covet something you can't afford while ignoring the bounty of wonderful things within your means. better to recognize the goodness of affordable things than be angry something is out of reach

Former Delta Force K9 handler Sergeant Major Jeremy Knabenshue and his Military Working Dog, Weblo. Weblo started his life as a beaten down Belgian Malinois from Holland that flinched at every sudden movement. In Jeremy’s hands, he would become one of the most decorated combat K9s in modern US Special Operations history. Together, the pair deployed seven times to Iraq and Afghanistan alongside America’s Tier 1 operators. On Halloween night 2007, Weblo was shot through the abdomen while clearing a building in Iraq. Jeremy was the only man on target carrying a K9 first aid kit. Under fire, he treated Weblo in the dirt, saved his life, and watched his partner make a full recovery and return to duty. Weblo went on to save countless American lives across multiple deployments, once catching an enemy combatant hiding in wait with an AK-47 at a breach point, something no operator or aircraft above had spotted. Weblo retired in 2012 and lived out his days as a family protector. On March 8, 2016, Jeremy gave him a final helicopter ride over the airfield, the wind in his fur one last time, before letting him go peacefully. Warriors come in all shapes and sizes, and some of them have four legs.

"Cuando un muchacho de 14 ó 15 años descubre que es más dado a la introspección y a la conciencia de sí mismo que la mayoría de los chicos de su misma edad, incurre fácilmente en el error de creer que ello se debe a que ha alcanzado una madurez superior a la de sus compañeros. Ciertamente cometí ese error. En realidad, aquella tendencia a la introspección se debía, en mi caso, a que yo tenía mayor necesidad que los demás de comprenderme a mí mismo. Ellos podían comportarse de acuerdo con su natural manera de ser, en tanto que yo debía interpretar un papel, lo cual exigía notable comprensión y estudio de mí mismo. En consecuencia, no se debía a la madurez, sino a mi sensación de incertidumbre, de incomodidad, que era la que me obligaba a tener pleno conocimiento de mí. Esa conciencia era un puente que me llevaba a la aberración, y, entonces mi manera de pensar tenía que limitarse a la incertidumbre, a la formulación de hipótesis." "Confesiones de una máscara", Yukio Mishima

🇲🇽👉🏻El Banco del Bienestar ha costado una fortuna: alrededor de 25 mil millones en infraestructura y cerca de 90 mil millones en operación. En total, unos 115 mil millones de pesos del erario. El banco no es rentable, no otorga préstamos, no funciona como un banco convencional, simplemente existe para cobrar programas sociales y enviar remesas. ¿Cuál es la razón de su existencia entonces? No sería extraño que fuera una institución fachada para lavar dinero. Caso absurdo: Magdalena Mixtepec, Oaxaca. Un municipio de apenas 1,500 habitantes que en 2025 recibió más de 12 millones de dólares en remesas. Eso da cifras ridículas por persona y por vivienda. No cuadra por ningún lado. Cuando ves flujos millonarios en pueblos diminutos, total opacidad en activos y pasivos, y una red bancaria sin lógica financiera, algo huele mal. Muy probablemente en estos pueblos de usos y costumbres, el Banco del Bienestar funcione para blanquear dinero, haciéndolo pasar por remesas. Y que ese mismo efectivo sea utilizado para mantener estructural electoral. Ojalá algún día salga a la luz todo lo que hay detrás de los Bancos del Bienestar.

"You need to keep reminding yourself of the obvious: charm lies in the unsaid, the unwritten, and the undisplayed. It takes mastery to control silence." - Nassim Nicholas Taleb in The Bed of Procrustes

Let the young man in his desperation go out and hunt. If he is killed by the elephant, his poverty will end. If he kills the elephant, his poverty will end. – African Proverb

Y así quieren que registremos los biométricos jajajajaja

THEY ARE TRAINING AI IN JUNK CORPORATE SLACK CHATS AND THINK IT IS BRILLIANT. It’s not. The downsides of training AI on failed companies’ old Slack chats and email archives are exactly what I’ve been warning about for years. These liquidation firms are now selling bankrupt startups’ entire internal comms, years of Slack threads, emails, meeting notes, HR drama, memes, and casual workplace noise, to AI labs for up to $100k a pop. They call it “data assets.” I call it corporate thought digital sewage being fed into the models at scale. This is not “high-protein” data. This is the opposite. Real intelligence advances come from dense, thoughtful, undigitized human knowledge, the kind I’ve spent decades rescuing from physical archives, old technical films, HyperCard stacks, and private libraries precisely because the internet already ran out of quality signal years ago. What these failed companies left behind is low-signal corporate exhaust: groupthink, short-term survival thinking, power dynamics, and the exact patterns that caused them to fail in the first place. Feeding that into frontier models is like giving cardboard to cows and expecting better milk. Worse, the people who wrote those messages never consented to having their words packaged up and sold as training fodder after the company collapsed. This isn’t public Reddit posts or Wikipedia edits. These are private workplace conversations turned into tokens without meaningful permission. It treats human communication as just another disposable corporate asset to be liquidated. That’s not innovation, that’s grave-robbing with extra steps. We already know what happens when models are trained on this kind of shallow, noisy, context-specific slop: accelerated model collapse, structural hallucination, and agents that inherit the worst habits of dysfunctional office culture instead of first-principles reasoning. The labs chasing “agentic” capabilities think this workplace simulation data will help. It won’t. It will just make the models better at mimicking the very failures that killed these companies. This is the lazy, end-stage data grab we’ve been heading toward. Once the easy corporate archives are scraped dry, we’ll be left with even lower-quality remnants or pure synthetic slop. The path to genuine intelligence was never going to come from hoovering up more internet exhaust or failed startup chat logs. It was always going to come from preserving and learning from the highest-quality human knowledge that hasn’t been polluted yet. The problem is these AI companies don’t know how to get it, would rather talk to anyone but me, and pay $100,000 for stuff I throw away because it is so low quality. Right now their AI being trained on corporate drama designed to own you with the digital remains of other people’s collapsed dreams. What we choose to train on matters. This choice is a mistake. I know it and you know it but the the smart folk don’t want to know it.

Doesn't it makes you understand the Palestinians? (BTW the pic of the left is an Armenian in France)

It's been over a week since my last post... I got completely burned out. After fighting for months to save my 13-year-old Panzer Picture channel from that ridiculous false "sexual abuse" flag, I pretty much lost all hope it's ever coming back. The stress has been brutal on my health (Crohn’s hasn’t helped). If you're still here and believe in preserving WW2 history, a like or RT would mean the world right now. Thank you for not forgetting ❤️ #RestorePanzerPicture #WW2History #YouTubeCensorship

内視鏡カメラが捉えた生きている人間の腸が波のように収縮と弛緩を繰り返して食物を押し進める蠕動運動の映像が公開された。体の外からは絶対に見えないこの自動運動がなければ消化も移動も起きない生命の根幹が映っている。

A small tutorial: at the limit of n trials with 1/n probability, with n ->\inf, we get 1-1/e ~.63%

Taiichi Ohno built Toyota’s production system. His training method was a literally chalk circle on the factory floor. He’d put a new manager inside it and tell them to stand there and watch! 8 hours No phone No notebook Just watch After an hour they’d come back saying they’d figured out the problem. Ohno would send them back. “Keep watching.” By hour 3 they’d notice the worker reaching awkwardly for a part. By hour 7, the pause before every weld because the operator was waiting on the guy behind him. None of that shows up in a report. Reports compress 8 hours into just a number. The number says output is 94% of target. It doesn’t say why the guy is standing on his tiptoes. Most executives have never watched their own operation for 8+ hours. They’ve read a 1000+ dashboards. Those are not the same thing. By the time it reaches you, it’s just a bar chart. On a bar chart, everything looks pretty fine. The only way out is to go sit in the circle. Sit there until you notice something that isn’t in the summary or bullet points. Because the summary is always wrong in exactly the places that matter.

And if you try 200 times you have 200% chance of success, no?