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NEWS
FIFA Fan Festival Philadelphia
A global celebration of football, culture, and music where fans unite to share the energy, flavor, and excitement of the world’s biggest sporting event.
06/12/2026 – 07/19/2026
HUGE NEWS: We’ve partnered with @FWC26Philly to distribute 700 FREE match tickets to 19 community organizations — giving more Pennsylvanians from across our Commonwealth the opportunity to be a part of the biggest sporting event in the world. Lemon Hill in East Fairmount Park will be home to the ultimate watch party this summer. Going to a @FIFAWorldCup match at Philadelphia Stadium?
Register https://www.eventim.com/artist/philadelphia-fifa-fan-festival/?affiliate=7FI
Leon Black Sold His Art to Himself to Pay Off an Epstein Model — at the Taxpayer’s Expense. https://www.narativ.org/p/leon-black-sold-his-art-to-himself
This is the scheme that made Anastasiya Siroochenko wealthy. It bought her mother a mansion in Lviv. In the end, the American taxpayer paid for all of it.
Trump’s administration has intersected with billionaire private equity investor Leon Black primarily through federal scrutiny of his ties to Jeffrey Epstein and the 2025 nomination of Black’s son, Ben Black, to head the U.S. International Development Finance Corporation (DFC).
The point of selling a painting to yourself is the tax you do not pay. If you dress the deal as a like-kind exchange under Section 1031, the capital-gains bill is deferred. If you route it through a St. Thomas trust, New York’s sales tax never lands. Because you are the buyer, you never actually lose the art. Six months later, one painting — the Giacometti — went under the hammer at Christie’s for $8.8 million. The trust booked a $2.725 million gain on a sculpture it had owned for fewer than two hundred days. Three dodges in one night. The only loser was the United States Treasury.
Resistance Disguised as a History Lesson: Fascism and the University
Her student—a former Nazi stormtrooper—was proof that no one was lost to the new regime, that every person might choose to refuse.
https://www.publicbooks.org/resistance-disguised-as-a-history-lesson-fascism-and-the-university/
Scientists for years have known mycorrhizal fungal were vital for plant life and storing carbon. But little was known about their density until now.
https://insideclimatenews.org/news/11062026/earths-massive-underground-fungal-networks/
The first trillionaire in the world is a far right-wing extremist who incites violence. It’s not a movie or science fiction (what a plot, right?), it’s reality.
The janitor can’t build SpaceX alone. Neither can Elon. The difference is that one gets paid a wage and the other gets credited for the work of an entire organization. If a company is worth $1 trillion and has 30,000 employees, that’s $33 million in company value per worker.
Yet most workers will never see even a fraction of that wealth.
The people who create the value and the people who capture the value are rarely the same people.
Want to challenge billionaire power?
Support local unions.
Attend city council meetings.
Vote in primaries.
Know who funds your politicians.
Talk to your coworkers.
Organize your community.
Vermont passed a data privacy law on May 29. To get it past the governor who vetoed the last one, lawmakers removed your right to sue companies that violate it. Enforcement now belongs to one office: the Attorney General.
Rep. Salud Carbajal @RepCarbajal
For the third time, the President attempted to sell off public lands in the Arctic Refuge to Big Oil.
Fortunately, it seems these oil companies have accepted what Trump cannot: no amount of short-term corporate gain will ever be worth the risk oil drilling poses to Indigenous communities, wildlife, the climate, and public health. I will never stop speaking out against the Administration’s attacks on public lands.
ESSAY
Ricardo @Ric_RTP
The smartest man in AI just exposed the whole AGI narrative as a LIE.
And he used a physics problem from 1905 to prove it.
His name is Demis Hassabis. He runs Google DeepMind, and won the Nobel Prize for using AI to crack a problem in biology that had stumped scientists for 50 years.
Almost nobody in this industry has a track record like his.
He went on the NothingButTech podcast and called out the biggest lie in AI right now:
Right now the loudest voices in AI are telling you that AGI is basically here. OpenAI has literally defined AGI as a system that can outperform humans at most “economically valuable work.” In other words, if it replaces enough jobs, we have arrived.
Hassabis thinks that bar is a joke.
He said real general intelligence has to do what the human brain can do, because the brain is the only proof we have that this kind of intelligence is even possible. He called that “a higher bar than just being able to do some useful economic work,” which is about as close as a polite British Nobel laureate gets to calling his rivals out.
Then he gave the actual test:
Today’s AI has read everything humans have ever written, including the theory of relativity. So when it explains relativity back to you, it’s repeating an answer that already exists.
That’s not intelligence.
So Hassabis proposed a test that makes memorization impossible. Train an AI on only what humanity knew in 1901, four years BEFORE Einstein published relativity. Then ask it to come up with relativity on its own.
It can’t look up the answer, because in 1901 the answer doesn’t exist yet. The only way to pass is to do what Einstein actually did: Take the same physics everyone else had and reason its way to an idea no human had ever had.
Hassabis says not a single AI today can, no matter how much it has memorized. Which means what we keep calling “almost AGI” is really just the best librarian in history.
It can find any answer that already exists but it cannot create one that doesn’t.
His second version is even sharper:
AlphaGo, the system his own team built, famously invented a brand new move that no human had played in 2,000 years of the game.
Everyone called it genius but Hassabis says that still is not the bar.
The real test is not whether an AI can invent a new move inside Go, it is whether an AI could INVENT a game as deep and as beautiful as Go in the first place.
No model that exists today can do it.
The people telling you AGI has already arrived are the same people raising hundreds of billions of dollars on that exact promise.
The valuations only work if the finish line is right in front of us. So the finish line keeps getting dragged closer, and AGI keeps getting quietly redefined down to “does useful work,” until the products they already sell happen to qualify.
Hassabis has nothing to prove and nothing to sell you. He already won the Nobel, and he is telling you the machines still cannot do the one thing that would make them genuinely intelligent, which is have a truly original idea.
To be fair to him, he is not a pessimist about it. He believes real AGI IS coming, and he is spending his life building it. He just refuses to pretend it is already sitting in your phone.
So the next time a founder tells you AGI is months away, remember that the one man in the room with a Nobel Prize built his test around Einstein, and admitted that nothing we have made can pass it.
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