MΞτ∆₱$¥¢HΞ

FreeThinker, tinkerer, Ikigai-seeker, Shoshin-learner, a Soft Engi (neer), and a curious soul.

[Handre @Handre]

The moment you stop thinking of "government" as some abstract entity and start naming actual individuals, everything changes. Janet Yellen personally signed off on policies that destroyed your purchasing power. Jerome Powell individually chose to print trillions while small businesses died under lockdowns. Anthony Fauci made specific decisions that shuttered schools and churches. These are human beings who made choices and should face consequences for them.

The mystical thinking around government serves those in power perfectly. When you blame "the system" or "institutional failures," you let the decision-makers slip away into comfortable anonymity. Nancy Pelosi didn't accidentally become worth $120 million on a government salary. She made deliberate stock trades using information unavailable to you. When inflation hit 9.1% in June 2022, specific people at the Federal Reserve chose to expand the money supply by $4.9 trillion between 2020 and 2022.

Every regulation that destroys your business came from a specific bureaucrat's desk. Every tax that impoverishes your family got signed by an actual person. Every war that kills thousands started with individual politicians voting "yes." Ben Bernanke and Alan Greenspan deliberately kept interest rates artificially low for years, creating the bubble that exploded in 2008.

The genius of the state lies in convincing you that it's bigger than the sum of its parts, that individual accountability dissolves into collective responsibility. This is pure mythology designed to protect the guilty. Track down names. Demand answers from specific people. Make them personally defend their choices instead of hiding behind institutional language and bureaucratic doublespeak.

You wouldn't accept "the corporation made me do it" from a CEO who defrauded investors, so why do you accept it from politicians who defraud entire nations?

[Brivael Le Pogam @brivael]

Je veux présenter mes excuses, au nom des Français, pour avoir enfanté la French Theory (qui a enfanté la pire des merdes idéologiques : le wokisme).

Nous avons donné au monde Descartes, Pascal, Tocqueville. Et puis, dans les ruines intellectuelles de l'après-68, nous avons donné Foucault, Derrida, Deleuze. Trois hommes brillants qui ont fabriqué, dans l'élégance de notre langue, l'arme idéologique qui paralyse aujourd'hui l'Occident.

Il faut comprendre ce qu'ils ont fait. Foucault a enseigné que la vérité n'existe pas, qu'il n'y a que des rapports de pouvoir déguisés en savoir. Que la science, la raison, la justice, l'institution médicale, l'école, la prison, la sexualité, tout n'est qu'une mise en scène de la domination. Derrida a enseigné que les textes n'ont pas de sens stable, que tout signifiant glisse, que toute lecture est une trahison, que l'auteur est mort et que le lecteur règne. Deleuze a enseigné qu'il fallait préférer le rhizome à l'arbre, le nomade au sédentaire, le désir à la loi, le devenir à l'être, la différence à l'identité.

Pris isolément, ce sont des thèses discutables. Combinées, exportées, vulgarisées, elles forment un système. Et ce système est un poison.

Car voici ce qui s'est passé. Ces textes, illisibles en France, ont traversé l'Atlantique. Les départements de Yale, de Berkeley, de Columbia les ont absorbés dans les années 80. Ils y ont trouvé un terreau qui n'existait pas chez nous : le puritanisme américain, sa culpabilité raciale, son obsession identitaire. La French Theory s'est mariée à ce substrat, et l'enfant de ce mariage s'appelle le wokisme.

Judith Butler lit Foucault et invente le genre performatif. Edward Said lit Foucault et invente le post-colonialisme académique. Kimberlé Crenshaw hérite du cadre et invente l'intersectionnalité. À chaque étape, la matrice est française : il n'y a pas de vérité, il n'y a que du pouvoir, donc toute hiérarchie est suspecte, toute institution est oppressive, toute norme est violence, toute identité est construite donc négociable, toute majorité est coupable.

Voilà comment trois philosophes parisiens, qui n'ont probablement jamais imaginé leurs conséquences pratiques, ont fourni le logiciel d'exploitation à une génération entière d'activistes, de bureaucrates universitaires, de DRH, de journalistes, de législateurs. Voilà comment on a obtenu une civilisation qui ne sait plus dire si une femme est une femme, si sa propre histoire mérite d'être défendue, si le mérite existe, si la vérité se distingue de l'opinion.

C'est de la merde pour une raison simple, et il faut la dire calmement. Une civilisation se tient debout sur trois piliers : la croyance qu'il existe une vérité accessible à la raison, la croyance qu'il existe un bien distinct du mal, la croyance qu'il existe un héritage à transmettre. La French Theory a entrepris de dynamiter les trois. Pas par méchanceté. Par jeu intellectuel, par fascination du soupçon, par haine de la bourgeoisie qui les avait nourris. Mais le résultat est là. Une génération entière a appris à déconstruire et n'a jamais appris à construire. Une génération entière sait soupçonner et ne sait plus admirer. Une génération entière voit le pouvoir partout et la beauté nulle part.

Je m'excuse parce que nous, Français, avons une responsabilité particulière. C'est notre langue, nos universités, nos éditeurs, notre prestige qui ont donné à ce nihilisme son emballage chic. Sans la légitimité de la Sorbonne et de Vincennes, ces idées n'auraient jamais traversé l'océan. Nous avons exporté le doute comme d'autres exportent des armes.

Ce qui se construit maintenant, en silicon valley, dans les labos d'IA, dans les startups, dans les ateliers, dans tous les lieux où des gens fabriquent encore des choses au lieu de les déconstruire, c'est la réponse. Une civilisation se reconstruit par les bâtisseurs, pas par les commentateurs. Par ceux qui croient que la vérité existe et qu'elle vaut qu'on s'y consacre. Par ceux qui assument une hiérarchie du beau, du vrai, du bon, et qui n'ont pas honte de la transmettre.

Alors pardon. Et au travail.

[MΞτ∆₱$¥¢HΞ @Metapsyche]

And if you can't answer the question at that moment, act as if your choices mattered anyways (because your actions matter at all times).
The sense of purpose will come.

[Deep Psychology @DeepPsycho_HQ]

The Japanese Samurai had a rule: never make a decision before you can answer this one question.

In feudal Japan, elite samurai were trained never to act until they could honestly answer one question their masters repeated for decades: "If I die tomorrow, does this choice still matter?"

It wasn't philosophy. It was a mental filter designed to cut through fear, ego, and short-term emotion in seconds.

Most modern decisions are made under invisible pressure: deadlines, social approval, FOMO. The result is a life built on reactions instead of clarity.

When you start applying the samurai question daily, something shifts. Small irritations lose power. Big risks become obvious. You stop chasing things that won't matter next year.

The samurai understood that true strength isn't speed. It's the ability to see clearly when everyone else is rushing.

[MΞτ∆₱$¥¢HΞ @Metapsyche]

The only thing I don't like is the 'Ineffable' part. But as to the other ideas, it makes sense.
It's not real intelligence if it's just gobbling text from humans.

[Ricardo @Ric_RTP]

This guy just left Google and made a billion dollar bet that every AI company alive is building the WRONG technology.

He spent 13 years at Google DeepMind building the most legendary AI systems ever created.

AlphaGo: Beat the world champion at Go, a game experts said computers wouldn't crack for another decade.

AlphaZero: Taught itself chess from SCRATCH with just the rules. Beat the world's strongest chess engine within hours.

AlphaStar: Reached grandmaster level in StarCraft II against professional players.

And every single one learned the same way: NOT from human data.

They learned from their own experience. Playing against themselves millions of times until they discovered strategies no human had ever conceived.

That's the detail everyone's missing according to David Silver.

Because right now, the entire AI industry is doing the OPPOSITE.

ChatGPT, Claude, Gemini, and Grok all work the same way:

They inhale the entire internet, every book, every article, every Reddit post, and then predict the next word in a sequence.

That's the whole trick.

Silver says this approach has a hard ceiling.

These models can remix human knowledge. Summarize, rephrase, recombine what humans already wrote.

But they CANNOT discover something genuinely new.

They can't reason from first principles, plan 20 moves ahead, or understand physics.

A two year old knows what happens when you push a glass off a table. GPT-5 does not.

That's why AI hallucinates. No understanding of reality. Just word prediction.

So Silver quit DeepMind. Walked away from 13 years at the most prestigious AI lab on earth.

And yesterday raised $1.1 BILLION in a seed round.

It's the largest seed round in European history. A $5.1 billion valuation before even building a SINGLE product.

- Sequoia flew to London personally to lead the deal
- Nvidia wrote a check for at least $250 million
- Google invested
- The British government invested through their Sovereign AI fund

His company is called Ineffable Intelligence.

Its stated mission: "To make first contact with superintelligence."

This is not another chatbot or a coding assistant.

He's building what he calls a "superlearner." An AI that discovers ALL knowledge from its own experience without pre-training on human data, internet scraping, or copying what humans already know.

The same approach that produced the legendary Move 37 during AlphaGo's match against world champion Lee Sedol.

The AI made a move that had a 1 in 10,000 chance of being played by any human in history.

Every expert thought it was a bug. The live commentator said "I don't understand." Lee Sedol left the room for 12 minutes trying to process it.

It turned out to be the most brilliant move of the entire match.

A machine discovered something that 5,000 years of human Go mastery never found.

THAT is Silver's bet. Not AI that copies humans better but AI that thinks in ways humans literally cannot.

His company compared its own ambition to Darwin: "Where Darwin's law explained all Life, our law will explain and build all Intelligence."

The crazy thing is that this is the THIRD billion dollar raise by an AI researcher in two months.

Yann LeCun's AMI Labs raised $1 billion last month at $3.5 billion.

Mira Murati's Thinking Machines Lab raised $2 billion at $12 billion.

Now Silver at $1.1 billion and $5.1 billion.

3 researchers and 3 startups with zero products, revenue, or customers.

Over $4 BILLION raised on resumes alone.

Either these people are about to crack the most important scientific problem in human history.

Or the investors can't tell the difference between genius and hype.

What do you think?

[MΞτ∆₱$¥¢HΞ @Metapsyche]

"The thief comes only to steal and kill and destroy; I have come that they may have life, and have it to the full,"
- John 10:10

[MΞτ∆₱$¥¢HΞ @Metapsyche]

This world is a jungle that we must survive from predators, scammers, thieves, and evildoers.
We need more humans to inspire us to look past mere maintenance and survival.
Life is tough but it makes life worth living.
Godspeed humanity+.

[Dustin @r0ck3t23]

Elon Musk just diagnosed the disease no one admits they have.

Life has become a triage ward.

Pay the bill. Dodge the crisis. Survive the week.

Repeat until dead.

Musk: “Life cannot just be about solving one miserable problem after another. That can’t be the only thing.”

Most people can name every problem they are running from.

They cannot name a single thing they are running toward.

That is the disease.

You did not lose your purpose. You replaced it with maintenance.

Musk: “There need to be things that inspire you. That make you glad to wake up in the morning and be part of humanity.”

Glad to be part of humanity.

When was the last time you felt that.

Not relief. Not distraction. Not the dull numbness of a weekend burning down to Sunday night.

Actual gladness that you exist.

Most people cannot answer that question. Not because the answer is painful. Because they have never been asked.

We have spent decades staring at the floor. Sweeping the same dirt into the same corner of the same room.

Musk quotes Tsiolkovsky: “Earth is the cradle of humanity, but you cannot stay in the cradle forever.”

The cradle is warm. The cradle is safe. The cradle is small.

And a species that refuses to leave it is not being cautious.

It is dying slowly in the only room it has ever known.

Musk: “It is time to go forth, become a starfaring civilization… and expand the scope and scale of human consciousness.”

Look up tonight.

Billions of galaxies. Trillions of stars. An ocean of light stretching 93 billion light years in every direction.

And one tiny wet rock figured out how to wonder why it exists.

We are not passengers on this planet.

We are the universe waking up.

And right now the only conscious thing in the universe is trapped in one room arguing about the electricity bill.

The problems will never end. There will always be another fire.

But you were not built to fight fires.

The universe was dark for 13.8 billion years.

Then it opened one eye.

You.

[MΞτ∆₱$¥¢HΞ @Metapsyche]

Personalized and customized AI-assisted learning and education is the future.

[Dustin @r0ck3t23]

Elon Musk thinks the entire education system is built on a broken assumption.

That every student should learn the same thing. At the same speed. In the same order. At the same time.

Musk: “Everyone goes through from like 5th grade to 6th grade to 7th grade like it’s an assembly line. But people are not objects on an assembly line.”

The model was designed for a factory economy. Standardized inputs. Predictable outputs.

That economy is gone. The assembly line is gone.

But the education system still runs on its logic.

A student who masters algebra in two weeks sits through eight more weeks because the calendar says so. A student who struggles gets dragged forward because the schedule doesn’t wait.

Neither is being served. Both are being processed.

Musk: “Allow people to progress at the fastest pace that they can or are interested in, in each subject.”

AI doesn’t teach a classroom. It teaches a student.

One at a time. Every time.

It skips what a student already knows. It finds where they’re stuck and approaches it from a different angle.

It adjusts in real time. Not at the end of a semester when the damage is already done.

A student obsessed with basketball learns fractions through shooting percentages. A student who builds in Minecraft learns geometry through architecture.

The subject doesn’t change. The entry point does.

No teacher with thirty students can do this. Not because they lack skill.

Because the math doesn’t work.

AI doesn’t have that constraint.

Musk: “You do not need to tell your kid to play video games. They will play video games on autopilot all day. So if you can make it interactive and engaging, then you can make education far more compelling.”

The brain isn’t broken. The format is.

Kids learn complex systems and strategic thinking for hours voluntarily. Then walk into a classroom and can’t focus for twenty minutes.

That’s not a discipline problem. That’s a design problem.

Musk: “A university education is often unnecessary. You probably learn the vast majority of what you’re going to learn there in the first two years. And most of it is from your classmates.”

Four years. Six figures of debt.

And the real value comes from the people sitting next to you. Not the institution charging you.

The degree doesn’t certify knowledge. It certifies endurance.

Musk: “If the goal is to start a company, I would say no point in finishing college.”

The system was built to train employees. If you’re not trying to be one, it has nothing left to offer you.

Every lecture. Every textbook. Every curriculum. Now available instantly. Personalized to any learner. Adapted to any pace.

The question isn’t whether the old model survives.

It’s how long we keep forcing students through it while the replacement already exists.

[MΞτ∆₱$¥¢HΞ @Metapsyche]

This is a good story on how AI can be used for the good of humanity.
I hope cancer gets cured for everyone.
I hope Alzheimer's gets cured with AI's help, too.

[Vaibhav Sisinty @VaibhavSisinty]

Cancer is cured by AI.

GitLab founder Sid Sijbrandij was diagnosed with stage 4 spinal cancer. Every trial rejected him.

His doctors had nothing left to offer.

So he stopped being a patient.

He built an AI research team. Fed them 25TB of his own medical data genomics, scans, treatment history, everything.

The system found a treatment his entire oncology team had missed.

Then engineered 19 custom vaccines from his own DNA.

Relapse-free since 2025.

Then he uploaded the entire blueprint. Free. For every person sitting in that same room, hearing the same verdict, with nobody left to call.

Medicine runs on averages. AI runs on you.

[MΞτ∆₱$¥¢HΞ @Metapsyche]

I don't ignore good art.

[BakaArts @TheBakaArts]

My art is good, the algorithm just ignores me
My art is good, the algorithm just ignores me
My art is good, the algorithm just ignores me
My art is good, the algorithm just ignores me

[MΞτ∆₱$¥¢HΞ @Metapsyche]

This makes sense. We are standing on the shoulder of (dead) giants.

[Dustin @r0ck3t23]

Jeff Bezos just made the most counterintuitive argument in tech.

An AI crash wouldn’t destroy the future.

It would fund it.

Jeff Bezos: “If we go back 25 years ago when the internet was in that bubble-ish moment, no one would have predicted a lot of the industrial benefits.”

The dot-com bubble erased trillions in market value. Companies that raised hundreds of millions were gone within months.

The money vanished.

The infrastructure didn’t.

Bezos: “All of that fiber optic cable that got laid, and by the way, the companies who laid all that cable went out of business.”

Billions worth of fiber optic cable buried under oceans and across continents. Laid by companies that no longer exist.

They went bankrupt. The cable stayed in the ground.

Bezos: “Like literally went bankrupt. But the fiber optic cable was still there. And we got to use it.”

Amazon. Google. Netflix. Uber. Every cloud platform. Every streaming service.

All built on infrastructure paid for by dead companies.

They funded the future. They just didn’t survive long enough to see it.

That exact pattern is about to repeat.

Hundreds of billions are flooding into AI infrastructure right now. Data centers. Chip fabrication. Power generation. Cooling systems.

Some of the companies writing those checks will not exist in five years.

The market will correct. Valuations will crater. The bubble narrative will be everywhere.

And the infrastructure will still be standing.

Data centers don’t vanish when the stock price hits zero.

GPUs don’t disappear when the company folds.

Power grids don’t downgrade when investors pull out.

Every dollar being spent right now is permanently reshaping the physical world.

It doesn’t matter which companies survive to use it.

The bubble isn’t the risk.

The bubble is the funding mechanism.

The railroad bubble overbuilt track that connected a continent. The telegraph bubble laid wire that enabled global communication. The dot-com bubble buried fiber that carries the modern internet.

Each time, the investors lost.

Each time, civilization gained.

AI is that same pattern running at a scale we’ve never seen.

The crash will feel like a catastrophe. In hindsight, it will look like something else entirely.

The largest involuntary infrastructure investment in human history.

The companies that fail will have already served their purpose.

The compute layer stays. And the survivors build on top of it.

The question was never whether the AI bubble will pop.

It’s who will be standing in the rubble with a blueprint.

[MΞτ∆₱$¥¢HΞ @Metapsyche]

There is much evil in this world.
But I'm grateful there is Hope.
Happy Good Friday to humanity.

[matrixbot @thematrixb0t]

The fraud being exposed in California right now is UNREAL

[Overton @overton_news]

Nick Shirley says Gavin Newsom’s attacks on him for exposing fraud in California BACKFIRED badly.

“If I was the governor I would be happy that the fraud was exposed.”

Shirley points out Newsom isn’t trying to fix the problem — he’s trying to intimidate others into SILENCE.

SHIRLEY: “I think they’re trying to intimidate other people from doing what I did because they know the fraud so deep.”

“Unfortunately for them, it backfired very bad.”

“I’ve given them the opportunity and in another post I said, let’s work together. If you think there’s fraud, let’s go do it.”

“I mean, if I was a governor, I would be happy to the fraud is exposed and figuring out how to crack down on this fraud.”

“Instead he attacked the journalists who attempt expose the fraud.”

[Patricia 🇺🇸 @1109Patricia]

Fraud in California worst than Minnesota

[James O'Keefe @JamesOKeefeIII]

CALIFORNIA ELECTIONS FRAUD CASH FOR BALLOTS PART I: Homeless Bribed with Cash & Drugs In Exchange For Registering To Vote & Signing Election Petitions Caught On Tape Undercover On Skid Row In California.

“You can just put Pinocchio Lane.”

California NGOs Encourage Fake Addresses To Homeless People To Sign Petitions & Register Voters, A State & Federal Felony. Footage Shows 28 Instances Of Cash Changing Hands For Ballot Signatures & Voter Registration Forms. Many of the petitioners had no understanding of the petitions’ purpose they were advertising. Circulators also instructed individuals to use fake addresses. “Oh, you can just fake an address.”

Weingart Center, which received hundreds of millions in public funding, is on tape directing people to where the fraudulent petitioners are located, and directing homeless individuals to petitioners & coaching plausible deniability. “See they say ignorance is no excuse for the law. But a lot of times, I have to say ‘I didn’t know, I had no idea.’”

We encountered 28 instances of petitioners offering cash, cigarettes, and marijuana for signatures on petitions.

Weingart employees advised: “See they say ignorance is no excuse for the law. But a lot of times, I have to say ‘I didn’t know, I had no idea.’” All happening outside taxpayer-funded housing organizations. Weingart CEO earned $432,000 before resigning from the Los Angeles County Affordable Housing Solutions Agency.

James O’Keefe and the OMG Team went undercover on Skid Row, posing as homeless individuals. On hidden cameras, petitioners admitted they are paid $7–$10 per signature, sometimes earning $1,000 or more per day, collecting signatures from individuals with minimal knowledge of what they were signing.

“$7 a signature, $5 a signature, $10 a signature.”

“We gon’ give you $2.”

Populus Inc., a political consulting firm, was circulating petitions funded by @Uber, @Delta, @United, and the American Hotel & Lodging Association (@AHLA). On camera, one petitioner said, “We have one that taxes billionaires 5%. One-time tax. 5% and that’s gonna go towards healthcare.” Other petitions sought to overturn LA’s $30 minimum wage for hotel and airline workers.

Paying per signature and encouraging fake addresses violates federal and state election law and is proof of fraud happening in California.

Weingart employees were caught directing the homeless to the location of the petitioners and coaching them on plausible deniability. Intake coordinator Jason Warren told an undercover journalist exactly where and when to find them:

“Most time they be right across the street, under that tree… Monday through Friday.”

In 2016, nine individuals were arrested on Skid Row for exchanging cash and cigarettes for signatures; in 2019 they were charged on 14 counts under the exact same California Elections Code section.

Yet when confronted, nearby LAPD officers dismissed the activity as “a civil lawsuit.”

“Paying per signature violates state election law and is evidence of election fraud in California,” the investigation concludes. On Skid Row, we captured conduct on tape that violates Federal Law 52 U.S. Code §10307 and state law California Election Code §18603.

Part II coming soon.

@CAgovernor @MayorOfLA @AGPamBondi @TheJusticeDept @NathanHochmanDA @GovPressOffice @LADAOffice @CASOSVote @USAttyEssayli @GavinNewsom

Follow Citizen Justice League @ctznjusticelg

A network of citizen journalists exposing corruption and demanding accountability for America

YT: https://t.co/TG83RtCcmS
IG: https://t.co/MRX1KEG2iU
FB: https://t.co/z2m2RJR5YQ
TikTok: https://t.co/pt5Wxn077v

Paid partnerships with:

American Independence Gold: Free Extra Gold & Silver with Qualifying Purchases. Go to https://t.co/aWACVynvyk

[MΞτ∆₱$¥¢HΞ @Metapsyche]

@adityaag Those who are adaptable and flexible will survive. I want to add that self-starters and those with grit will thrive in the next few years.

[MΞτ∆₱$¥¢HΞ @Metapsyche]

@adityaag Those who are adaptable and flexible will survive. I want to add that self-starters and those with grit will thrive in the next few years.

[MΞτ∆₱$¥¢HΞ @Metapsyche]

Now I don't want to spend all that time to configure a raspberryPi nor an old Macbook for openclaw.
#PerplexityComputer is cool, but at $200/mo it's still too expensive for me. Anthropic & OpenAI should have same thing at much lower price! 😉

[MΞτ∆₱$¥¢HΞ @Metapsyche]

I might not be able to sleep tonight...

[Milk Road AI @MilkRoadAI]

Layoff Announcements:

1. US Government (DOGE): 317,000 employees
2. UPS: 78,000 employees
3. Amazon: 30,000 employees
4. Intel: 25,000 employees
5. Citigroup: 20,000 employees
6. Nissan: 20,000 employees
7. Nestlé: 16,000 employees
8. Microsoft: 15,000 employees
9. Bosch: 13,000 employees
10. Verizon: 13,000 employees
11. Dell: 12,000 employees
12. Accenture: 11,000 employees
13. Ford: 11,000 employees
14. Novo Nordisk: 9,000 employees
15. Procter & Gamble: 7,000 employees
16. HP Inc.: 6,000 employees
17. Heineken: 6,000 employees
18. Siemens: 5,600 employees
19. PwC: 5,600 employees
20. Dow Chemical: 4,500 employees
21. Salesforce: 4,000 employees
22. Lufthansa Group: 4,000 employees
23. ANZ Bank: 3,500 employees
24. GM (General Motors): 3,300 employees
25. ConocoPhillips: 3,000 employees
26. IBM: 2,700 employees
27. American Airlines: 2,700 employees
28. WiseTech: 2,000 employees
29. Morgan Stanley: 2,000 employees
30. Paramount: 2,000 employees
31. Starbucks: 2,000 employees
32. Target: 1,800 employees
33. Southwest Airlines: 1,750 employees
34. Meta: 1,500 employees
35. Applied Materials: 1,444 employees
36. Nike: 775 employees​
37. Kroger: 1,000 employees
38. eBay: 800 employees
39. Block Inc. (Square/Cash App): 1,100 employees

AI is officially replacing jobs at mass scale in the US.

Where will all of these people go?