This AI just exposed the BIGGEST legal insider trading operation in America.
A platform called GovGreed built a seven-layer machine learning system that cross-references every stock trade disclosed by every sitting politician against the bills their committees control, the campaign donations they receive, and the companies their votes directly impact.
It scored all 540 politicians currently in Congress. And the numbers are crazy:
56% of every stock purchase made by Congress in the last 16 months was on a stock directly affected by a bill the buyer later voted on. That is 6,170 out of 11,016 total purchases.
More than HALF of all congressional stock buys are on companies whose fate that same politician is about to decide.
343 of 540 Congress members actively trade stocks while holding access to nonpublic legislative information.
That is 63.8% of the entire legislature making market bets with an informational edge that would put any hedge fund manager in prison.
The AI identified 752 active "Triple Signals" in the current Congress. A Triple Signal fires when three conditions line up at once:
The politician sits on the committee controlling a bill, they traded stock in a company affected by that bill, AND they received campaign contributions from that same industry.
Bills carrying these insider indicators pass at 5.4 TIMES the normal rate.
Now look at the individual leaderboard:
- Nancy Pelosi's estimated portfolio sits at $194 million with a Greediness score of 98.1 out of 100
- Ro Khanna made 13,231 trades across 800+ different tickers
- Michael McCaul made 32,302 trades and filed 6,670 of them late
- Thomas Suozzi filed 86.4% of his trades late with an average delay of 396 days, meaning his disclosures landed over a YEAR after he made the trade
And then there is Lisa McClain, the fourth-ranking Republican in the House. She has made 1,443 trades in three years, more than 98% of all politicians tracked.
She violated the STOCK Act twice in a single year, disclosing up to $900,000 in trades months after the legal deadline. Her husband bought up to $250,000 in Elon Musk's xAI, which quietly converted into SpaceX equity before last Friday's $2 trillion IPO.
The penalty for all of this? A $200 fine.
The number of Congress members ever prosecuted under the STOCK Act since it passed in 2012? Zero.
And the cruelest part is this:
A bill to ban congressional stock trading was introduced in January 2026. It has bipartisan support. Over 80% of American voters want it passed.
But Congress is sitting on it, because the people who would have to vote yes are the same people making millions from the system staying exactly the way it is.
They write the insider trading laws, they exempt themselves from enforcement, they trade on the information those laws generate, and when they get caught, they pay a fine that is basically nothing.
The AI didn't discover anything Congress was hiding. It just organized what was already public into a pattern so obvious that nobody can pretend it isn't there anymore.
🚨 JUST IN: SecWar Pete Hegseth has just established a Pentagon task force to give PAY and BENEFITS to unvaccinated service members removed under Biden — even if they aren’t returning to service
AWESOME! 👏🏻
“I'm directing the Under Secretary of War for Personnel and Readiness to establish a Department of War COVID-19 reinstatement and Reconciliation Task Force.”
“The services have them right now. We're establishing one at our level to oversee the entire thing. The task force's goal is to bring back into service all those who desire to continue to serve our country in uniform.”
“Even if you do not intend to return to service, the War Department will provide a path for resolution of unearned bonuses, upgrades to discharge characterizations that will unlock your well-deserved benefits, and removal of adverse documents from service files.”
“Further, I have directed a review of policies and decision-making to ensure that we do not go down this path again. You raised your right hand and sworn ill to serve and protect the Constitution and our nation.”
“You were mistreated by the Biden Pentagon, and we are fixing that injustice.”
🇺🇸🇺🇸
🚨MAJOR NEWS🚨
13 D.C. Police officials have been terminated for their involvement in the manipulation of crime data.
These terminations are a direct result of the Oversight Committee’s work exposing dangerous efforts by DC Police leaders to artificially lower crime rates.
An MIT professor taught the same math course for 62 years, and the day he retired, students from every country on earth showed up online to watch him give his final lecture.
I opened the playlist at 2am and ended up watching three of them back to back.
His name is Gilbert Strang. The course is MIT 18.06 Linear Algebra.
Every machine learning engineer, every data scientist, every quant, every self-taught programmer who actually understands how AI works learned the math from this one man. Most of them never set foot on MIT's campus. They just opened a free playlist on YouTube and let him teach.
Here's the story almost nobody tells you.
Strang joined the MIT math faculty in 1962. He retired in 2023. That is 61 years of standing at the same chalkboard teaching the same subject to 18-year-olds.
The interesting part is what he did when MIT launched OpenCourseWare in 2002. Most professors were skeptical. They worried that putting their lectures online would make their classrooms irrelevant. Strang did not hesitate. He said his life's mission was to open mathematics to students everywhere. He filmed every lecture and gave it away.
The decision quietly changed how the world learns math.
For decades linear algebra was taught the wrong way. Professors started with abstract vector spaces and proofs about field axioms. Students drowned in the abstraction. Most never recovered. They walked out believing they were bad at math when they had simply been taught in an order that nobody's brain is built to absorb.
Strang inverted the entire curriculum.
He started with matrix multiplication. Something you can write down on paper. Something you can compute by hand. Something you can see. Then he showed his students that everything else in linear algebra eigenvectors, singular value decomposition, orthogonality, the four fundamental subspaces was just a different lens for understanding what the matrix was actually doing under the hood.
His rule was strict. If a student could not explain a concept using a concrete 3 by 3 example, that student did not actually understand the concept yet. The abstraction was supposed to come last, not first. The intuition was the foundation. The proofs were just confirmation that the intuition was correct.
The second thing Strang changed was the classroom itself. He said please and thank you to his students. Every single lecture. He paused mid-derivation to ask "am I OK?" to check if anyone was lost. He never used the word "obviously" or "trivially" because he knew exactly what those words do to a student who is one step behind. He treated 19-year-olds learning math for the first time the way he treated his own colleagues. With patience. With respect. With the assumption that they belonged in the room.
For 62 years.
The result is something that has never happened in the history of education. A single math professor became the default teacher of his subject for the entire planet.
Universities in India, China, Brazil, Nigeria, every country with a computer science department, started telling their own students to just watch Strang's lectures. The University of Illinois revised its linear algebra course to do almost no in-person lecturing. The reason was honest. The professor said they could not compete with the videos.
His final lecture was in May 2023.
The auditorium was packed with students who had never met him before. He walked to the chalkboard, taught for an hour, and at the end the entire room stood and applauded. He looked confused for a moment, like he genuinely did not understand why they were cheering. Then he smiled and waved them off and walked out.
His written comment under the YouTube video of that final lecture was four sentences long. He said teaching had been a wonderful life. He said he was grateful to everyone who saw the importance of linear algebra. He said the movement of teaching it well would continue because it was right.
That was it. No book promotion. No farewell speech. No legacy management.
The man whose teaching is the foundation of modern AI just thanked the audience and went home.
20 million views. Zero ego. The entire engine of the AI revolution sits on top of math that millions of people learned for free from one quiet professor in Cambridge.
The course is still on MIT OpenCourseWare. Every lecture, every problem set, every exam, every solution. Free.
The most important math course of the 21st century is sitting one click away from you. Most people will never open it.
Los Angeles Mayor candidate Spencer Pratt confirms that “the number 1 buyer of Pacific Palisades dirt lots is China”
“China is taking over Los Angeles and Karen Bass is just letting them take it”
China isn’t buying the lots directly, they’re being very secretive. They establish companies based in New Zealand and then purchase Los Angeles properties with New Zealand companies, that are owned by China
Chinese buyers accounted for 15% of all foreign international buyer purchases nationwide in America
But get this
California was the top destination for these Chinese buyers, attracting 36% of their US purchases. 71% paid in all cash deals
Democrats are letting China buy out California’s home inventory
The mandatory flu shot requirement for our military that’s been in force for 72 YEARS has officially been TERMINATED.
This is likely because two studies confirm flu vaccines DO NOT work — and actually INCREASE your risk of flu (+27%) AND other infections (+340%).
NEW: The CIA used a secret tool called "Ghost Murmur" that uses AI to find heartbeats to rescue the U.S. airman who was stranded in Iran, according to the New York Post.
The secret technology was allegedly used for the first time in the field, according to the Post.
"The secret technology uses long-range quantum magnetometry to find the electromagnetic fingerprint of a human heartbeat and pairs the data with artificial intelligence software to isolate the signature from background noise," the Post reported.
"It’s like hearing a voice in a stadium, except the stadium is a thousand square miles of desert," the source said.
"In the right conditions, if your heart is beating, we will find you."
"The name is deliberate. ‘Murmur’ is a clinical term for a heart rhythm. ‘Ghost’ refers to finding someone who, for all practical purposes, has disappeared..."
"Advances in a field known as quantum magnetometry, specifically sensors built around microscopic defects in synthetic diamonds, have apparently made it possible to detect these signals at dramatically greater distances."
CIA Director John Ratcliffe appeared to hint at this technology on Monday, saying the CIA possessed "unique capabilities" but said he couldn't "tell you everything that you want to know."
President Trump also revealed during the press conference that the CIA spotted the officer from about "40 miles away."
Insane.
After its petrochemical hub was attacked by the US and Israel, Iran responded by striking the Saudi industrial hub.
Jubail is Saudi Arabia’s main industrial hub and operates with nearly 300 active industries. It produces about 7% of all petrochemicals in the world.
SATORP and SASREF together refine 770,000 barrels per day.
In addition, there are large-scale dedicated power stations and desalination plants.
We are talking about a giant complex of fertilizers, steel, aluminum, and chemical products that suffered a violent Iranian attack today in retaliation for the strike on its own petrochemical complex.
All of this is connected to the King Fahd Industrial Port, the main industrial port of the complex, with 34 berths and a confirmed annual capacity of 70 million tons.
The attacks today on Iran and the Iranian attacks on Saudi Arabia will directly impact global inflation.
Marc Andreessen explains why we are only three years into what is effectively an 80-year technological revolution:
He opens with a blunt assessment:
"This is the biggest technological revolution of my life. This is clearly bigger than the internet. The comps on this are things like the microprocessor and the steam engine and electricity."
But to understand why, you have to go back 80 years.
In the 1930s, the pioneers of computing understood the theory of computation before they'd even built the machines. And they faced a fundamental choice.
Build computers in the image of the adding machine — hyper-literal, mathematical, capable of billions of operations per second, but unable to understand human speech or deal with humans the way humans like to be dealt with.
Or build computers modelled on the human brain. Neural networks.
They chose the adding machine. And that single decision shaped everything — mainframes, PCs, smartphones, every dollar of wealth the computer industry created over the next 80 years. IBM itself is the successor company to the National Cash Register Company of America. The lineage runs that deep.
But here's what makes this moment so extraordinary. They knew about the other path. The first neural network academic paper was published in 1943. Marc points to a remarkable piece of forgotten history:
"There's an interview you can watch on YouTube with the authors. It's him in his beach house, not wearing a shirt, talking about this future in which computers are going to be built on the model of the human brain."
That was 1946. The vision existed. The path just wasn't taken.
So neural networks spent the next eight decades living in the shadows. Kept alive by a small academic movement — first called cybernetics, then artificial intelligence — that refused to let the idea die. And for most of that time, it simply didn't work.
"It was basically decade after decade after decade of excessive optimism followed by disappointment."
By the time Marc reached college in 1989, AI was a backwater field. Everyone assumed it was never going to happen.
But the scientists kept working. Quietly building up an enormous reservoir of concepts and ideas across those decades of disappointment.
And then Christmas 2022 arrived. ChatGPT. And suddenly:
"All of a sudden it's like: oh my god. It turns out it works."
That moment wasn't the start of something new. It was the payoff on an 80-year-old bet that almost everyone had written off.
Which is exactly why Marc's framing matters so much:
"We're three years into what is effectively an 80-year revolution."
Most people are treating AI like another technology cycle — something to adapt to, ride, and wait out. But if Andreessen is right, we are not adapting to a new cycle. We are standing at the very beginning of the longest and most consequential technological transformation in human history.
The road not taken in the 1930s is finally being built. And we have barely broken ground.
🇺🇸 The U.S. Air Force’s smart new answer to Iran’s cheap Shahed drone swarms isn’t expensive missiles or supersonic jets.
It’s a rugged turboprop (like the Embraer A-29 Super Tucano) built to loiter for hours, spot small, slow drones at night, and take them out with affordable weapons.
Finally fighting cheap with cheap.
Source: Military World YT
Stan Lee: "My publisher told me that Spider-Man was the worst idea I have ever heard."
"My publisher came to me and said, 'Stan, I want you to come up with another superhero.' So I said okay. And I thought, 'What power will I give a new guy?' And I saw a fly crawling on the wall. I said, 'Hey, if I can get a superhero that could stick to walls and crawl on them man, that would be groovy.'"
Stan continues:
"I needed a name. Fly-Man, Mosquito-Man... I got down to Spider-Man. It just sounded dramatic. Then I figured, just for fun, I'm going to give him personal problems because most people have personal problems. And I'd make him a teenager, because there were no teenage superheroes at the time."
He brought the idea to his publisher:
"This was his reaction: 'Stan, that is the worst idea I have ever heard. First of all, people hate spiders so you can't call a hero Spider-Man. You want him to be a teenager? Teenagers can only be sidekicks. And you want him to have personal problems? Stan, don't you know what a superhero is? They don't have personal problems.'"
Stan left disappointed but couldn't let it go:
"We were about to kill a magazine called Amazing Fantasy. It wasn't selling well, and we were sending the last issue to press. When you do the last issue of a magazine, nobody cares what you put in it because the book is dying. Just to get it out of my system, I put Spider-Man in Amazing Fantasy. Featured him on the cover. Forgot about it."
Then the sales figures came in:
"A month later, my publisher came racing into my office: 'Stan, Stan! You remember that character we both loved so much Spider-Man? Let's do him as a series.'"
Stan shares the lesson:
"If you have an idea that you genuinely think is good don't let some idiot talk you out of it. That doesn't mean every wild notion is going to be genius. But if there's something you feel is good, something you want to do, something that means something to you try to do it.
Because I think you can only do your best work if you're doing what you want to do. And if you can look at it after and say, 'I did that and I think it's pretty damn good' that's a great feeling."
China HACKED U.S. voter registration data in 2020 and our intelligence community KNEW this while we were told it was the 'most secure election ever.' But @jsolomonReports tells me the story may be even more sinister:
“China sent tens of thousands of fake driver's licenses to be distributed around the country. And the goal of that, according to FBI's own counterintelligence sources inside China, was for China to register fake people to vote for Joe Biden...We intercepted those, but it's pretty clear that China either has a preference with the Democratic Party or some sort of alliance with the Democratic Party, based on what the FBI wrote.”