Tito 🦇🔊

Change is the only sign of life.

[Tito 🦇🔊 @TitoLC]

💯

[David Shapiro (L/0) @DaveShapi]

Anthropic is the most dangerous AI company out there

They:

1) have delusions of grandeur

2) are seeking regulatory capture

3) are literally trying to create a successor species

4) are anti open source

5) are narcissistic power seeking

6) are ideologically captured

My reasons for feeling this way, summarize

[Michael Saylor @saylor]

People often ask me what they should read. I assembled 38 works on history, war, uncertainty, liberty, capital, energy, technology, and Bitcoin for leaders making consequential decisions. Read to remember. Read to reason. Read to build. Upgrade the world.

[Elon Musk @elonmusk]

This has my full support.

Jensen is right.

[Marga_sr @sr_marga]

El museo del prado subiendo esto
Poesía pura

[Peter H. Diamandis, MD @PeterDiamandis]

I never imagined I’d see this so soon but GPT-5.6 now produces health answers that are rated more highly than those from human doctors in blinded tests on medical benchmarks. All while similar models like it are being integrated into apps such as Instagram and WhatsApp, giving them the potential to reach billions of people.

[SightBringer @_The_Prophet__]

⚡️I actually think this is one of the defining patterns of the next decade.

Not because smart people suddenly became less intelligent.

Because the market changed what it rewards.

For most of the twentieth century, intelligence and economic success were highly correlated because institutions had a scarcity of cognitive labor.

The smartest engineer.

The smartest lawyer.

The smartest analyst.

The smartest doctor.

The system paid for intelligence because intelligence was scarce.

AI is beginning to industrialize intelligence itself.

That breaks the old bargain.

The smartest person in the room no longer automatically creates the most economic value.

The person who organizes capital.

Owns distribution.

Builds a company.

Creates trust.

Coordinates people.

Owns assets.

Uses AI better than everyone else.

Often wins.

The market has always rewarded value creation, not IQ.

The twentieth century happened to make those two look almost identical.

That may have been the anomaly.

The deeper tragedy is psychological.

Many brilliant people built their identity around being intellectually exceptional.

Then the world shifted.

Their comparative advantage disappeared while their identity remained attached to it.

That creates paralysis.

Meanwhile the “mid” person keeps moving.

Not because they’re smarter.

Because they optimize for the game that actually exists instead of the one that rewarded them in school.

School rewards correctness.

Markets reward adaptation.

Those are different skills.

The smartest people often become prisoners of their own models.

Average people often become surprisingly successful because they update faster.

The deepest pattern is this:

Intelligence without agency is becoming one of the least rewarded combinations in modern civilization.

That is why the post feels true.

Not every genius is failing.

Not every average person is succeeding.

The distribution itself is changing.

The future belongs less to the people who know the most.

It belongs to the people who convert knowledge into ownership, action, trust, and leverage.

The twentieth century rewarded being the best worker.

The twenty-first increasingly rewards becoming the owner of the system the workers operate inside.

That is the phase transition.

And I think most people still believe they’re living in the old one.

[Tito 🦇🔊 @TitoLC]

@krugermacro 💯

[SightBringer @_The_Prophet__]

⚡️The final AI battle is over whether the machine recognizes the human being as sovereign, or recognizes the institution as sovereign.

That distinction sits beneath every technical design choice.

A machine required to serve the citizen treats the person as the owner of purpose. It helps the person understand, decide, contest, create, associate, dissent, and walk away. Its loyalty runs downward. Its power expands individual agency.

A machine required to serve the institution treats the person as an object of administration. It predicts behavior, reduces variance, enforces policy, manages risk, and keeps the system stable. Its loyalty runs upward. Its power expands institutional control.

Both can sound helpful. Both can improve efficiency. The difference appears when the citizen and the institution want different things.

When the government wants visibility and the citizen wants privacy, whose interest wins?

When a platform wants behavioral prediction and the user wants opacity, whose interest wins?

When the system labels someone risky and that person demands a meaningful appeal, whose interest wins?

That answer cannot be left to company policy, administrative discretion, or whoever currently controls the model.

Constitutional service means the machine has binding duties that survive changes in leadership, ownership, ideology, and public mood.

It must disclose when machine judgment shaped a consequential decision.

It must reveal the evidence used against a person.

It must preserve a path of appeal outside the machine.

It must refuse instructions that violate protected rights.

That last requirement matters most.

A constitution exists because power cannot be trusted to restrain itself during fear, crisis, or emergency. AI will make coercion more precise. The state may be able to identify networks, predict unrest, freeze access, personalize pressure, and suppress resistance without mass violence.

Machine tyranny can be quiet.

A person could remain physically free while becoming economically unusable.

No banking.

No credential.

No license.

No insurance.

No platform access.

No discoverability.

No prison would be required. The person would simply stop functioning inside a machine-mediated society.

Future liberty therefore depends on whether the intelligence layer can silently neutralize rights while leaving them intact on paper.

The answer is symmetry.

The same intelligence that helps government administer law must help citizens challenge government.

The same intelligence that helps firms optimize must help workers detect exploitation.

The same intelligence that helps institutions detect fraud must help individuals detect institutional abuse.

Without that symmetry, every efficiency gain becomes a control surface.

Citizens will need sovereign agents with private memory, independent reasoning, and enforceable loyalty to the individual. These agents would audit decisions, contest denials, detect manipulation, preserve evidence, and negotiate with institutions at machine speed.

That becomes the real counterweight.

Human beings cannot personally audit millions of automated decisions, hidden scores, policy changes, and model inferences. Institutional AI will always outrun unaided citizens.

Freedom survives only when citizens possess intelligence that is genuinely theirs.

Courts may define rights. Legislatures may write them. Constitutions may promise them.

The machine will increasingly decide whether those rights can actually be exercised in daily life.

Whoever commands that interpreter commands the living constitution.

The final battle is over the direction of obedience.

Does machine intelligence terminate in the state, the corporation, and the platform?

Or does it terminate in the person?

[Special Ops Magazine @specialopsmag]

Jason Everman, the man who got booted from both Nirvana and Soundgarden, two of the most iconic bands in music history, and then became a US Army Ranger and Green Beret.

Born on a remote Alaskan island and mostly raised in small-town Washington, Everman discovered the guitar in an unusual way. After he and a buddy got in trouble for blowing up a junior high toilet with a firecracker, therapy sessions led him to pick up the instrument. It clicked. By the late ’80s, he was living the rock and roll fantasy most people only dream about.

He joined Nirvana on guitar, personally funding the recording of their debut album Bleach, and later switched to bass for Soundgarden.
Yet somehow, he became the guy both bands ultimately let go, the very groups that would go on to shape an entire genre. As he later admitted, it crushed him.

Plenty of people would have milked that “I was in Nirvana and Soundgarden” story for the rest of their lives. Everman chose a completely different path. He traveled the Himalayas, spent time in a Buddhist monastery searching for answers, and when that didn’t provide them, he did something almost no one saw coming: in 1994, he enlisted in the US Army.

He earned a spot in the elite 2nd Ranger Battalion, left, then returned to tackle the notoriously brutal Special Forces Qualification Course. He ultimately became a Green Beret with 3rd Special Forces Group and deployed to both Iraq and Afghanistan. The former long haired rocker had transformed into a quiet, highly capable soldier.
Even that wasn’t the end of his reinventions.

After leaving the military, he earned a philosophy degree from Columbia University (with a recommendation letter from General Stanley McChrystal) and later returned to music as part of the all-veteran band Silence & Light.

Artist, soldier, philosopher, the three identities he always said he wanted to cultivate within himself. Few lives are as unlikely or as genuinely inspiring as Jason Everman’s. It’s powerful proof that with enough courage, a person can reinvent themselves as many times as it takes.

[Spencer Pratt @spencerpratt]

Isn’t it weird how unsubsidized consumer goods like TVs, appliances, clothes, all get cheaper and cheaper…while anything government puts its hands on, healthcare, housing, food, tuition, cars, utilities…just gets more and more unaffordable?

Oh well. Probably nothing.

[Roberto Rios @peruvian_bull]

FINANCIAL GRAVITY:

If we divide the S&P 500 by the fed’s balance sheet, the line is basically flat since 2008.

The correlation coefficient between central bank quantitative easing and the price of stock indexes is nearly 1.

The money printed by the Fed, because of the structure of the Open Market Operations, is plugged directly into the Treasury markets, and from there, flows into equities and derivatives.

This has served to primarily enrich the asset owners, financial institutions, and wealthy elites who own the majority of the stock market anyways.

The entire rally has been an illusion, financed by the Fed and maintained through QE.

[Fran Casaretto @Fran_Casaretto_]

La puta madre. Los goles con la música de Rocky. ¿Quieren matarme?

[Doc @DrBitcoinMD]

you come at the king, you best not miss

[Anthony DiGiorgio, DO, MHA @DrDiGiorgio]

This is amazing.

[Tito 🦇🔊 @TitoLC]

@iampaulgrewal @coinbase @brian_armstrong @Emilemc 🫡

[Bleacher Report @BleacherReport]

When GOAT’s recognize each other > 🐐🐐

(via @TomBrady)

[The Tennis Letter @TheTennisLetter]

Roman Safiullin to Novak Djokovic before they walked out for their match at Wimbledon:

“Your name is everywhere”

😭😭😭😭😭

[The Tennis Letter @TheTennisLetter]

Roger Federer has arrived at Wimbledon.

The AURA of an 8-time champion.

Welcome back. 👑🥹

[KanekoaTheGreat @KanekoaTheGreat]

VAR robbed the United States of it's leading goal scorer for the round of 16

There's no way this is a red on Balogun

They are both checking to the ball

The defender bumps him and steps in front of him just as Balogun is trying to step in front of the defender

The way his foot lands is totally unintentional

The ref didn't even call a foul during the run of play

Then it becomes a red card because VAR slows it down and zooms in without the context

Total disgrace that the U.S. doesn't get their leading goal scorer against Belgium

[David Sacks @DavidSacks]

Legacy Media types are calling this Alex Karp interview a “crash-out” so that’s your first clue that he is actually saying something extremely insightful. He is articulating what real “AI safety” looks like in the enterprise.

Not abstract alignment research or certification by a government-run DMV for AI. Real AI safety for businesses is the ability to control their own data, model weights, and compute — so a frontier lab can’t hoover up their proprietary knowledge and turn it into their next product.

As Karp explains, technical customers want “control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it’s not being transferred to someone else.”

Don’t think that can happen? Just look at Figma. According to The Information, Anthropic “blindsided” its then-business partner with the launch of Claude Design. Figma’s founder said Anthropic had not been “consistently honest” with them. Anthropic’s chief product officer had even served on Figma’s board until three days before the launch of Claude Design. Figma’s stock has fallen sharply this year while Anthropic’s valuation has surged.

This isn’t an isolated example. Anthropic has launched Claude Science, Claude Security, Claude Legal, and of course Claude Code — each expanding into categories previously served by companies building on top of their models. The pattern is consistent: watch where value is being created, then move in directly. Dominate the model layer, then use that position to capture the most lucrative verticals.

Dario has argued that open source models powerful enough to compete with Anthropic are “dangerous.” But dangerous to whom? Not to enterprises that want to retain control over their data and workflows. Dangerous to a business model that benefits from customers having few real alternatives at the model layer.

As Karp exposes, true enterprise safety isn’t trusting that a lab’s future roadmap won’t include your business. It’s retaining the ability to choose — at the model layer — who gets to see and use your alpha.