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Ballico Stretch
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Ballico Stretch
@mmp1
"Simplicate and Add more lightness" Bill Stout
Sierra Nevada foothills Katılım Kasım 2008
244 Takip Edilen468 Takipçiler
Elon Musk avait dit un truc qui m'avait marqué sur l'allocation de ressources. En substance : passé un certain niveau de richesse, l'argent n'est plus de la consommation, c'est de l'allocation de capital.
Cette phrase change tout.
L'économie, dans le fond, c'est juste un problème d'allocation. Tu as des ressources finies et des usages infinis. Qui décide où va quoi ?
Imagine une cour de récré. 100 enfants, des paquets de cartes Pokémon distribués au hasard. Tu laisses faire. Très vite, un ordre émerge. Les bons joueurs accumulent les cartes rares, les collectionneurs trient, les négociateurs trouvent des deals. Personne n'a planifié. Et pourtant chaque carte finit dans les mains de celui qui en tire le plus de valeur. Le système maximise le bonheur total de la cour. C'est ça, la main invisible.
Maintenant fais entrer la maîtresse. Elle trouve ça injuste. Léo a 50 cartes, Tom en a 3. Elle confisque, redistribue, impose l'égalité. Trois effets immédiats. Les bons joueurs arrêtent de jouer, à quoi bon. Les mauvais n'ont plus de raison de progresser, ils auront leur part. Les échanges s'effondrent. La cour est égale, et morte. Elle a maximisé l'égalité, elle a détruit le bonheur.
Le problème de la maîtresse, c'est qu'elle ne peut pas avoir l'information que la cour avait collectivement. C'est le problème du calcul économique de Mises, formulé en 1920. L'URSS a essayé de le résoudre pendant 70 ans avec le Gosplan. Résultat : pénuries, queues, effondrement. Pas parce que les Soviétiques étaient bêtes, parce que le problème est mathématiquement insoluble en mode centralisé.
Quand Musk a 200 milliards, il ne les consomme pas, il les alloue. SpaceX, Starlink, Neuralink, xAI. Chaque dollar est un pari sur le futur. Et lui a un track record. PayPal, Tesla, SpaceX. Il a démontré qu'il sait identifier des problèmes immenses et y allouer des ressources avec un rendement spectaculaire.
L'État aussi a un track record. Hôpitaux qui s'effondrent, éducation qui décline, dette qui explose, services publics qui se dégradent malgré des budgets en hausse constante. Le marché identifie les bons allocateurs, la politique identifie les bons communicants.
Le profit n'est pas une finalité, c'est un signal. Il dit : tu as alloué des ressources rares vers un usage que les gens valorisent suffisamment pour payer. Plus le profit est gros, plus la création de valeur est grande. Quand Starlink est rentable, ça veut dire que des millions de gens dans des zones rurales ont enfin internet. Quand un ministère est en déficit, ça veut dire qu'il consomme plus qu'il ne produit. L'un crée, l'autre détruit, et on appelle ça redistribution.
Dans nos sociétés il y a deux catégories d'acteurs. Les entrepreneurs et les bureaucrates. L'entrepreneur prend un risque personnel pour identifier un problème, mobiliser des ressources, créer une solution. S'il se trompe il perd. S'il a raison, ses clients gagnent, ses employés gagnent, ses fournisseurs gagnent, l'État collecte des impôts. Il est la cellule de base du progrès humain.
Le bureaucrate ne prend aucun risque personnel. Son salaire est garanti. Au mieux il maintient une rente existante. Au pire il la détruit par excès de réglementation, mauvaise allocation forcée, incitations perverses qui découragent ceux qui produisent. Mais dans aucun cas il ne crée.
Regarde les 50 dernières années. iPhone, internet civil, SpaceX, Tesla, Google, Amazon, Stripe, mRNA, ChatGPT. Toutes des inventions privées, portées par des entrepreneurs, financées par du capital risque. Pas un seul ministère n'a inventé quoi que ce soit qui ait changé ta vie au quotidien.
La France est devenue le laboratoire mondial de la dérive bureaucratique. 57% du PIB en dépenses publiques, record absolu. Une administration tentaculaire, une fiscalité qui pénalise la création de richesse. Résultat : décrochage face aux États-Unis, à l'Allemagne, à la Suisse. Fuite des cerveaux. Désindustrialisation. Dette qui explose.
Et le pire c'est que la mauvaise allocation s'auto-renforce. Plus l'État prélève, moins les entrepreneurs créent. Moins ils créent, moins il y a de base fiscale. Plus l'État s'endette et taxe. Boucle de rétroaction négative parfaite. La maîtresse pense qu'elle aide, et chaque année la cour produit moins.
Dans nos sociétés, ce sont les entrepreneurs, toujours, qui font avancer la civilisation. Les bureaucrates au mieux maintiennent une rente, au pire la détruisent. Aucune société n'a jamais progressé en taxant ses créateurs pour subventionner ses gestionnaires.
La question n'est jamais qui a combien. C'est qui alloue le mieux la prochaine unité de ressource pour maximiser le futur de l'humanité. La réponse depuis 200 ans n'a jamais changé. Ce ne sont pas les fonctionnaires.
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@AshtonForbes “… all i care about is give me the fusion reactors…”
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Ballico Stretch retweetledi
Ballico Stretch retweetledi
The best self-defense video you will ever see
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We need a strong independent in this race! Elaine Culotti for California! . . . #independent #governor #culottiforcalifornia #explore
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Ballico Stretch retweetledi
Philip K. Dick’s Legendary 1977 Metz Monologue: “If You Find This World Bad, You Should See Some of the Others”
This stunning 90-minute monologue he delivered as guest of honor at the Second Metz International Science Fiction Festival in France.
He didn’t talk about DeLoreans or machines. Instead, PKD laid out his mind-bending theory of orthogonal time a right-angle “sideways” axis running perpendicular to normal linear time.
In fact moving back and far forward in time is the same as all time happened all at once. Like being caught on the inner layer of an onion, the are other layers of this infinite onion representing forward and back time in one holographic whole onion.
Along the lateral axis, he said, parallel realities constantly branch off whenever a cosmic “Programmer” (a divine or simulation-like force) tweaks a variable in the past.
Déjà vu? He called it a literal glitch, a residual memory from the previous timeline that just got overwritten.
Reality, he argued, is like a programmable simulation or a divine chess game, constantly being edited into better versions.
Pure 1977 prophecy that feels like it predicted simulation theory decades early.
This is the same visionary genius whose stories became some of the greatest sci-fi movies ever made:
• Blade Runner (from Do Androids Dream of Electric Sheep? — questioning what is “real”)
• Total Recall (from “We Can Remember It for You Wholesale” — false memories and alternate lives)
• Minority Report (precognition and changing what “will” happen)
• A Scanner Darkly (layers of fractured identity and perception)
• The Adjustment Bureau (fate manipulation across branching possibilities)
Brian Roemmele@BrianRoemmele
They called it a Time Machine. Welp… Focus:
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@MarioNawfal @Tesla This is the production level equivalent of the 2007 Job’s MacWorld debut of iPhone 1.0 in San Francisco @mcmanusrjh
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It’s happening. Cybercab is in volume production.
No steering wheel. No pedals. Nothing to take over.
It’s made to drive itself from day one.
Under $30K. Can’t be ignored.
Now it’s real.
@Tesla
Elon Musk@elonmusk
Cybercab has started production
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Ballico Stretch retweetledi
I don’t think people realize how revolutionary the Tesla Cybercab is.
Everything about this vehicle is optimized for purely for autonomy at scale.
Cybercab isn’t manufactured using traditional methods, instead Tesla created a new approach called the "Unboxed Process" by which the vehicle is broken into large modular sub assemblies (like the front, rear, battery, and interior) that are built in parallel in separate areas, then joined together at the end. The result is much higher efficiency, smaller factory footprint, and waaaay faster production. At scale, Tesla targets one Cybercab rolling off the line every ~10 seconds, with a longer term goal of ~5 seconds. Elon Musk says the production line will look like a high-speed consumer electronics line: "The line will move so fast that people won’t be able to get close to it."
Going with the theme, Cybercab requires no paint phop to achieve its glossy gold finish. Instead, Tesla injects color directly into the plastic panels during injection molding. This eliminates the need for a paint shop entirely, which in turn speeds up production while cutting costs and complexity. The panels are very lightweight and easy to repair if needed.
Cybercab uses two Gigacastings in its construction. One up front, and one in the rear. The front casting integrates the front suspension points, crash structures, and drive unit mounting areas, while the rear casting is a more streamlined design which is easier and cheaper to produce. A Tesla Gigacasting is a massive single-piece aluminum structural component that replaces hundreds of smaller welded parts in the vehicle’s underbody. To give some perspective, Tesla says Cybercab’s body structure uses 60% fewer parts than a Model Y, and 50% fewer parts overall than a Model 3.
Since there isn’t a steering wheel, or pedals, the whole interior design becomes focused on the two passengers. There is a massive amount of legroom in the vehicle considering its size. The Tesla engineering team said they designed the seat height to be at the same level as a standard wheelchair. They thought of everyone when designing this car. The trunk is also huge, and will more than accommodate. I could see Cybercab being utilized for parcel deliveries as well. The interior display is the largest in any Tesla, which will allow you to watch movies, play games, etc as the car is driving you around. The two powered butterfly doors will auto-present when you approach the vehicle, and close automatically. The doors make Cybercab feel very special.
Now people are always wondering if you’ll be able to own one for yourself, and according to Elon Musk, yes you will able to.
Can’t wait to get mine.
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Yep. I put the condos back up underneath the overhang mow that the roofers are done. @mcmanusrjh x.com/i/trending/204…
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@AshtonForbes “… cooled cryogenically… DNA like structure appears…”
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I heard the term 'plasmoid' for the first time a few year ago.
I knew plasma was cool, but I didn't know it unlocked the nature of reality.
The Universe is electric.
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WOAH 🚨 The taxpayer money laundering must be INSANE
“The Federal Reserve has revealed that US NGOs have more in assets than the combined 2025 GDP estimates for Japan, Germany and India combined — The combined assets held by US NGOs equals $14.2 trillion of your tax money”
“India and Japan's GDP each just over $4 trillion, Germany $5 trillion, about $13.5 trillion together. Guess what? The combined assets held by US NGOs equals $14.2 trillion of your tax money and that of your children and grandchildren and great-great-great-great-great grandchildren.
Ever wonder why everything is so absolutely unaffordable today? It's not actually rocket science. Government has forgotten the fundamental reasons for which it was formed to serve and protect our civil liberties.
It has inverted the entire formula and decided that we are the ones here to serve, to work, and through our individual labors to support their desires and the behemoth of a bureaucracy that has emanated from those desires.”
As of 2025, United States nonprofits held about $13.4–14.1 trillion in total assets. Including cash, investments, real estate, etc
It has grown from $7 trillion a decade ago
This is based on Federal Reserve data
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Dansk
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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Recent studies in neuroscience and psychology are reframing ADHD not merely as a set of cognitive hurdles but as a powerful driver of breakthrough creativity and innovation.
Long stereotyped for difficulties with focus, attention, and impulse control, individuals with ADHD traits often exhibit superior divergent thinking—the capacity to generate a wide array of novel ideas by connecting distant or unrelated concepts. This stems from reduced adherence to rigid mental frameworks, enabling freer conceptual expansion and the production of more original, unconventional solutions than neurotypical counterparts. Heightened mind-wandering, especially when deliberate (purposefully allowing thoughts to drift), acts as a fertile source for this creativity, bypassing conventional boundaries to yield abundant "outside-the-box" insights.
Complementing this cognitive flexibility is a neurological drive for novelty rooted in lower baseline dopamine signaling. This creates a chronic need for stimulation, translating into exploratory, risk-tolerant behavior and a propensity for adventure—qualities that can disrupt routine settings but prove invaluable in dynamic fields. Impulsivity, often reframed as rapid action initiation, becomes a catalyst for pursuing bold ideas and seizing opportunities in high-stakes environments.
These traits align closely with the profiles of many successful entrepreneurs, inventors, and pioneers. In fast-evolving creative and innovative economies, the ADHD brain's wiring for quick associative leaps, tolerance of uncertainty, and motivation through novelty-seeking provides a distinct edge, turning potential challenges into engines of originality and progress.
Emerging evidence from 2025–2026 research reinforces this view: studies link stronger ADHD traits to elevated creative achievements via mediated mind-wandering, intuitive insight-driven problem-solving, and higher real-world inventive output, highlighting neurodiversity's role in fueling societal advancement.
[Maisano, H., et al. (2026). ADHD Symptoms Predict Distinct Creative Problem-Solving Styles and Superior Solving Ability. Personality and Individual Differences (February 2026)]
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After Monday’s #MAHA CA Gubernatorial Town Hall on @pickaxsocial, who is getting your vote?! 🗳️🇺🇸
Watch here:
rumble.com/v78k73q-make-c…
@jeffdornik @OANN
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