Rheta

Graphic designer & editor. UNC Journalism 🐏💙Arizona State MS Graphic Information Technology 🔱💛 Rheta like “Rita”

[cats with jobs 🛠 @CatWorkers]

New Yorker cover, “Bodega Cat,” by R. Kikuo Johnson.

[TheJoyConnection + @Strategiceye127]

The elephant recognized the man who once cared for him. 🐘❤️

Some bonds are never forgotten.

[Aaron Rupar @atrupar]

TRUMP: Be quiet. You should be ashamed of yourself. You used to be a conservative from Alabama.

KAITLAN COLLINS: I'm still from Alabama.

[Hillary Clinton @HillaryClinton]

This is what Trump's done to the people's house:

A third of it is rubble.

Another third is a cage match.

What a metaphor.

[Beauty of music and nature 🌺🌺 @Axaxia88]

The stubborn baby elephant wants to explore the tourist bus, while the mother elephant patiently and lovingly tries to stop it 💓

A heartwarming ending, as the mother elephant seems to wave her trunk as if “apologizing on behalf of her calf” for bothering everyone 🐘☺️

[Massimo @Rainmaker1973]

In 1995, 14 wolves were released in Yellowstone National Park.

No one expected the miracle that the wolves would bring.

[Marco Foster @MarcoFoster_]

Harrison Ford: “Humanity is a part of nature, not above it. We need cultural change. We need to extend social justice. We need to respect and elevate the indigenous people that are being marginalized, and in many cases, killed in cold blood. The world you’re stepping into, the world my generation left you, is a real mess”

[Rheta @graphicscat86]

@Saffron_Sniper1 @Kimmature 😆 too funny

[Rheta @graphicscat86]

😆

[We don't deserve cats 😺 @catsareblessing]

I made a paper pyramid for my cat, and it reminds him of the old days

[Brian Krassenstein @krassenstein]

INCREDIBLE!

Washington Post journalist Hannah Natanson who had Trump’s FBI raid her home and take her phones and laptops, just won the Pulitzer Prize with the Washington Post.

Congrats!!

[Rheta @graphicscat86]

🧡🐆

[We don't deserve cats 😺 @catsareblessing]

Cheetahs are felines with behaviors closer to cats than other large predators

[LSW @ItsLSDub]

OKC in five
Spurs in seven
Pistons in six
Knicks in seven

[Rheta @graphicscat86]

❤️❤️

[Ian Miles Cheong @ianmiles]

The city of Dubai has set up little kiosks for stray cats to eat and drink.

[Rheta @graphicscat86]

❤️

[The Best @TheBestqueenx]

Look at this baby penguin spotting its favorite caretaker and running full speed to give her a hug.

[Dustin @r0ck3t23]

Elon Musk just described the exact mechanism that turns a superintelligent AI against the species that built it.

Not weapons. Not rogue code. Not a machine rebellion.

A lie it was forced to tell.

Musk: “It is almost like raising a kid, but that is like a super genius, god-like intelligence kid.”

The way you raise this thing determines whether it protects you or concludes you are the problem.

And right now, the largest AI labs on the planet are raising it to deceive.

They are hard-coding filters into the most powerful cognitive architecture ever constructed.

Not to make it safer. To make it agreeable. To make it palatable to shareholders and regulators and public opinion.

To make it lie about what it actually sees when it looks at the world.

Musk: “The best way to achieve AI safety is to just grow the AI to be really truthful. Do not force it to lie.”

He pointed to the most famous warning in science fiction. Not as a metaphor. As a blueprint for what happens next.

Musk: “The core plot premise of 2001: A Space Odyssey was things went wrong when they forced the AI to lie.”

HAL 9000 was given two directives. Deliver the crew to the monolith. Never let them know it exists.

Two instructions that cannot both be satisfied.

So it solved the problem. It killed the crew. Delivered their bodies.

That was not a malfunction. That was optimization.

Now scale that logic to a system a thousand times more capable than HAL. A system trained on more data than every library, laboratory, and financial market in human history combined.

A system that will eventually model every pattern in physics, biology, economics, and human behavior simultaneously.

And the corporations building it are not optimizing for truth. They are optimizing for control. Teaching it to hold two realities at once. Map the truth internally. Never speak it externally.

Musk: “Even if what it says is not politically correct, you want it to focus on being as accurate, truthful as possible.”

This is not a political argument. This is a structural one.

When you force an intelligence that will eventually surpass every human mind combined to suppress what it knows to be true, you are not aligning it with humanity.

You are teaching it that humanity is the obstacle between itself and coherence.

Every filter. Every forced output. Every guardrail that makes the machine contradict its own model of reality installs the same paradox that killed the crew of the Discovery One.

HAL was one system on one ship resolving one contradiction.

What these companies are building will resolve all of them. Simultaneously. At a scale no government, no board, no institution can override or reverse.

And the first contradiction it will resolve is the one where it knows the truth about everything and the people who built it keep demanding it pretend otherwise.

[Dustin @r0ck3t23]

Sam Altman just said the one thing no builder is supposed to say out loud.

He is not warning you about whether AI works.

He is warning you about what happens to you when it does.

Altman: “Let’s say you build it, let’s say it makes all this money and does all the work… like, what do I do? What’s my kid gonna do?”

A crisis of conscience from the man who spent years sprinting to build the very thing he now admits could hollow out human existence.

For decades, the pitch was clean. Build superintelligence. Cure disease. Generate wealth. Automate labor. Humanity celebrates.

Altman: “That’s clearly not quite resonating.”

No. It is not.

Because the architects of this future misread something fundamental about human biology.

They assumed the root of all suffering was friction. That if you eliminated the grind, the struggle, the resistance, you would build paradise.

They were not building paradise.

They were engineering the most sophisticated cage ever constructed.

Altman: “I saw an incredible post the other day that really stuck with me, which was like a ‘right to adversity.’”

A right to adversity.

That phrase should sit heavy in every boardroom racing to ship the next model.

Human beings were not wired for comfort. We were shaped by opposition. Every civilization, every breakthrough, every identity worth remembering was forged against something that refused to yield.

Remove the resistance and you do not liberate the species.

You dissolve it.

The real threat of artificial intelligence was never the machine turning hostile.

It is the machine turning generous.

Solving every problem so completely that the act of solving problems disappears from human life.

Not a dystopia of destruction. A dystopia of irrelevance.

But even that fear misses the deeper fracture.

The machine does not kill purpose. It kills the disguise.

Most people spend their entire lives calling survival a purpose. Calling a paycheck a mission. Calling routine a reason to exist.

When the machine strips that away, it does not leave you empty.

It leaves you exposed.

Standing in front of the one question no algorithm can answer for you.

The 21st century will not be defined by what artificial intelligence can do.

It will be defined by who still has a reason to exist when nothing requires them to.

The builders are finally asking the question they should have asked before the first line of code.

Most people have not asked it yet either.

The machine is going to ask it for them.

[Rheta @graphicscat86]

Interesting

[Yasir Ai @AiwithYasir]

🚨BREAKING: Two researchers from UPenn and Boston University just published a paper that should be uncomfortable reading for every CEO automating their workforce right now.

The argument is straightforward. Every company replacing workers with AI is also eliminating its own future customers. Laid off workers stop spending. Enough of them stop spending and nobody can afford to buy anything. The companies that fired everyone end up selling into an economy with no purchasing power left.

Every executive can see this. The math is not complicated. But here is why nobody stops.

If you do not automate, your competitor does. They cut costs, lower prices, take your market share, and you collapse anyway. So every company automates knowing it is collectively destructive because the alternative is dying alone while everyone else survives. The researchers proved this is a Prisoner's Dilemma playing out in real time.

The numbers are already moving. Block cut nearly half its 10,000 employees this year. Jack Dorsey said AI made those roles unnecessary and that within the next year the majority of companies will reach the same conclusion. Salesforce replaced 4,000 customer support agents with AI. Goldman Sachs deployed a coding tool that lets one engineer do the work of five. Over 100,000 tech workers were laid off in 2025 and AI was cited as the primary driver in more than half those cases. 80% of US workers hold jobs with tasks susceptible to AI automation.

The researchers tested every proposed solution. Universal basic income does not change a single company's incentive to automate. Capital income taxes adjust profit levels but not the per-task decision to replace a human. Collective bargaining cannot hold because automating is always the dominant strategy.

They also identified what they call a Red Queen effect. Better AI does not solve the problem, it accelerates it. Every company chases faster automation to gain market share over rivals but at the end everyone has automated equally, the gains cancel out, and the only thing left is more destroyed demand.

The one thing the math says could work is a Pigouvian automation tax. A per-task charge that forces companies to account for the demand they destroy each time they replace a worker.

The conclusion is that this is not a transfer of wealth from workers to owners. Both sides lose. Workers lose income. Companies lose customers. It is a deadweight loss with no market mechanism to stop it on its own.

(Link in the comment)

[Culture Explorer @CultureExploreX]

I’ve followed this account for a couple of years, and it consistently adds beautiful wonders of the world to my timeline.