New York Knicks basketball player Josh Hart:
"Arsenal is not humble. Have they ever won a Champions League? How long have they been around? They never won that? Okay. London's blue, never red. Up the Chels" 🔵😂
#CFC
Two economists just published a mathematical proof that AI will destroy the economy.
Not might. Not could. Will — if nothing changes.
The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled.
The conclusion is one sentence.
"At the limit, firms automate their way to boundless productivity and zero demand."
An economy that produces everything. And sells it to nobody.
Here is how you get there.
A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself.
Because the workers who were fired were also customers.
When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation.
The loop has no natural exit.
The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements.
Every single one failed in the model.
The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger.
No government has implemented this. No major economy is seriously discussing it.
Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion."
Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem.
Rational behavior. At scale. Simultaneously. With no mechanism to stop it.
Two economists built the math. The math leads to one place.
Source: Falk & Tsoukalas · Wharton School + Boston University ·
@NoMansSky@hellogames Any chance some of the naming in The Swarm update are a gentle nod to the Bungie and Destiny teams? I immediately caught the references to The Traveler, as well Hive of Glass; Hive + Vault of Glass.
It would be a lovely gesture to @Bungie if it was.
If you haven’t had an opportunity to see @RememberGene, you have until June 13 to stream it on @Netflix. A loving tribute to a complex and gifted artist who brought tears of laughter and joy to so many. He will always be remembered and admired greatly. #genewilder
@Flat2VR@VrDadYT Please charm your friends @UnknownWorlds to give you the go ahead to implement VR..especially for PSVR2! Hint, hint, nudge, nudge, wink, wink! 😜
It’s still a LOT of work to get it from basic working in VR to a polished enough state that you’d be okay releasing it officially in. That’s why we built Flat2VR Studios. To hand that work off from them so they can stay focused on what they do best. Hopefully at some point they’d consider it! 🤞
🚨SHOCKING: Apple just proved that AI models cannot do math. Not advanced math. Grade school math. The kind a 10-year-old solves.
And the way they proved it is devastating.
Apple researchers took the most popular math benchmark in AI — GSM8K, a set of grade-school math problems — and made one change. They swapped the numbers. Same problem. Same logic. Same steps. Different numbers.
Every model's performance dropped. Every single one. 25 state-of-the-art models tested.
But that wasn't the real experiment.
The real experiment broke everything.
They added one sentence to a math problem. One sentence that is completely irrelevant to the answer. It has nothing to do with the math. A human would read it and ignore it instantly.
Here's the actual example from the paper:
"Oliver picks 44 kiwis on Friday. Then he picks 58 kiwis on Saturday. On Sunday, he picks double the number of kiwis he did on Friday, but five of them were a bit smaller than average. How many kiwis does Oliver have?"
The correct answer is 190. The size of the kiwis has nothing to do with the count.
A 10-year-old would ignore "five of them were a bit smaller" because it's obviously irrelevant. It doesn't change how many kiwis there are.
But o1-mini, OpenAI's reasoning model, subtracted 5. It got 185.
Llama did the same thing. Subtracted 5. Got 185.
They didn't reason through the problem. They saw the number 5, saw a sentence that sounded like it mattered, and blindly turned it into a subtraction.
The models do not understand what subtraction means. They see a pattern that looks like subtraction and apply it. That is all.
Apple tested this across all models. They call the dataset "GSM-NoOp" — as in, the added clause is a no-operation. It does nothing. It changes nothing.
The results are catastrophic.
Phi-3-mini dropped over 65%. More than half of its "math ability" vanished from one irrelevant sentence.
GPT-4o dropped from 94.9% to 63.1%.
o1-mini dropped from 94.5% to 66.0%.
o1-preview, OpenAI's most advanced reasoning model at the time, dropped from 92.7% to 77.4%.
Even giving the models 8 examples of the exact same question beforehand, with the correct solution shown each time, barely helped. The models still fell for the irrelevant clause.
This means it's not a prompting problem. It's not a context problem. It's structural.
The Apple researchers also found that models convert words into math operations without understanding what those words mean. They see the word "discount" and multiply. They see a number near the word "smaller" and subtract. Regardless of whether it makes any sense.
The paper's exact words: "current LLMs are not capable of genuine logical reasoning; instead, they attempt to replicate the reasoning steps observed in their training data."
And: "LLMs likely perform a form of probabilistic pattern-matching and searching to find closest seen data during training without proper understanding of concepts."
They also tested what happens when you increase the number of steps in a problem. Performance didn't just decrease. The rate of decrease accelerated. Adding two extra clauses to a problem dropped Gemma2-9b from 84.4% to 41.8%. Phi-3.5-mini from 87.6% to 44.8%. The more thinking required, the more the models collapse.
A real reasoner would slow down and work through it. These models don't slow down. They pattern-match. And when the pattern becomes complex enough, they crash.
This paper was published at ICLR 2025, one of the most prestigious AI conferences in the world.
You are using AI to help you make financial decisions. To check legal documents. To solve problems at work. To help your children with homework. And Apple just proved that the AI is not thinking about any of it. It is pattern matching. And the moment something unexpected shows up in your question, it breaks. It does not tell you it broke. It just quietly gives you the wrong answer with full confidence.
🇺🇸🇮🇱🇮🇷 A US stealth pilot departed Ovda Air Base in southern Israel, forgot to switch off his transponder, and handed the entire world via Flightradar24 a live broadcast of the route Washington had just spent weeks diplomatically insisting it wasn’t using. Saudi Arabia had told Iran and told Washington — that its airspace would not be made available for strikes. Iran’s ambassador to Riyadh had personally thanked the Kingdom for that pledge. The ink was barely dry.
The $150 million stealth aircraft whose entire operational premise is invisibility announced itself over Saudi Arabia like a commercial flight to Dubai. Call sign F35LTNG2. Altitude, heading, groundspeed — all of it, public, live, archived, distributed across Telegram channels from Tehran to Moscow before the sortie had even reached its target. The most expensive air force in human history, undone not by an Iranian S-300, not by electronic warfare, not by any weapons system that cost a single riyal to deploy — but by a checklist item a student pilot learns in week one.
The strategic implications land harder than the embarrassment. F-22s flying from Israel would have to traverse Syria, Iraq, Jordan and Saudi Arabia — the very countries that had declared their airspace unavailable for strikes on Iran. What the transponder confirmed in real time is that those declarations were either ignored, circumvented, or quietly negotiated away under pressure and that every government in the region now knows it, and more critically, so does Tehran. Iran does not need to intercept the aircraft. It already intercepted the lie and we'll have to see what comes next for Saudi Arabia.
"You bring a gun into DC, mark my words you're going to jail. I don't care if you have a license in another district and I don't care if you are a law-abiding gun owners somewhere else. "
Any word yet from 2A-defending Republicans? If there's even any left at this point...
Thirty years ago, a survivor did everything right.
Maria Farmer went to the FBI and reported Epstein and his network of the wealthiest and most powerful men in the world.
The network kept operating anyway.
Even with everything in this Epstein drop, remember: this is a minority of the files.
This is STILL just what they were *willing* to release - in violation of the law, which requires release of all files.
Pam Bondi’s DOJ is still hiding most of them. We need them all.
Breaking News: The Border Patrol leader Greg Bovino mocked the Jewish faith of the U.S. attorney in Minnesota during a call with lawyers, according to several people with knowledge of the conversation. https://t.co/4lrVWJcsi9
🚨 NEW: An affidavit signed under penalty of perjury by a witness identified as “Tiffany Doe” alleges she personally heard Trump threaten a plaintiff with “disappearing like another 12-year-old” and warned he could have her family killed.
This is sworn testimony. Not a rumor. Not a tweet. Not hearsay.
H/t aronparnas