Simon
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This AI whistleblower just EXPOSED Sam Altman for manipulating his way into becoming OpenAI’s CEO.
Everyone who helped him build it has left because they felt used.
Karen Hao interviewed 300 people including 90 current and former OpenAI employees.
And she just told Steven Bartlett what she discovered:
In 2015, Altman needed Elon Musk to co-found OpenAI. Problem was, Musk was obsessed with AI as an existential threat.
So Altman wrote a blog post calling AI "probably the greatest threat to the continued existence of humanity."
Before that blog post? Altman's biggest fear was engineered viruses. Not AI.
He literally rewrote his worldview overnight to mirror Musk's language word for word. Musk bought in. Donated millions. Co-founded the company.
Then Altman stabbed him in the back.
When OpenAI needed a CEO for its new for-profit arm, the co-founders Ilia Sutskever and Greg Brockman initially chose Musk.
Altman went directly to Brockman, a personal friend, and said: "Do we really want someone this erratic and unpredictable to control a technology that could be super powerful?"
Brockman flipped. Then convinced Ilia to flip.
Musk found out he wasn't getting the role and left.
That's how the biggest rivalry in tech actually started. Not over ideology... Over a backroom power play.
But here's where it gets darker:
Every single person who built OpenAI alongside Altman eventually felt the same thing Musk felt. Used. Manipulated. Discarded.
Dario Amodei, VP of Research, thought Altman shared his vision. Over time he realized Altman was on "exactly the opposite page" and had used his intelligence to build things he fundamentally disagreed with. He left and founded Anthropic.
Ilia Sutskever, co-founder and chief scientist, tried to get Altman fired. He told colleagues: "I don't think Sam is the guy who should have the finger on the button for AGI." He was pushed outounded Safe Super Intelligence. That name alone tells you everything.
Mira Murati, CTO, left and started Thinking Machines Lab.
No other tech company in history has had every single co-builder leave and start a direct competitor.
Not Google. Not Meta. Not Apple. NOBODY.
300 interviews exposed one consistent pattern:
If you align with Altman's vision, you think he's the Steve Jobs of AI. If you don't, you feel like you were manipulated by someone who will say whatever is needed to whoever is listening.
When talking to Congress? AGI will cure cancer and solve poverty.
When talking to consumers? It's the best digital assistant you'll ever have.
When talking to Microsoft? AGI is a system that generates $100 billion in revenue.
Three completely different definitions of the same technology sold to three completely different audiences.
And if you publicly disagree with any of it?
OpenAI subpoenaed 7 nonprofit organizations that criticized them. Sent a sheriff to a 29yo nonprofit lawyer's door during dinner demanding every text, email, and document he'd ever sent about OpenAI.
A one-man watchdog nonprofit got papers demanding all communications with anyone who questioned the company.
OpenAI's own head of mission alignment publicly said "this doesn't seem great." That's the guy whose literal job is making sure OpenAI BENEFITS humanity.
Former employees who spoke up about secret non-disparagement clauses that threatened to strip their equity described the psychological pressure as "crushing."
This is the company that tells us it's building technology "for the benefit of humanity."
Same company that mirrors whatever language gets them funded.
Same company where every builder eventually walks away feeling deceived.
Same company sending law enforcement to silence critics.
The biggest AI company on Earth wasn't built on technology.
It was built on one man's ability to tell everyone exactly what they needed to hear.
And the scariest part is that it worked.
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Goldman Sachs just published the list of jobs AI will eliminate first.
300 million jobs globally. 25% of all US work hours.
And that's not in 10 years, it's starting NOW.
Highest risk of displacement according to Goldman:
1. Computer programmers
2. Accountants
3. Auditors
4. Legal assistants
5. Administrative assistants
6. Customer service reps
7. Telemarketers
8. Proofreaders
9. Copy editors
10. Credit analysts.
46% of all office and administrative tasks can be automated. 44% of legal work. 37% of architecture and engineering. 36% of science. 35% of business and finance.
These aren't warehouse jobs. These aren't factory floor positions.
These are the careers parents told their kids to pursue.
"Go to college. Get a degree. Get a desk job. You'll be safe."
Goldman Sachs just told you that desk is getting emptied.
And the data is already showing up in real time:
Tech employment as a share of the US economy has dropped below its long-term trend for the first time since records began.
Marketing consulting, graphic design, office administration, and call centers are all seeing employment growth fall below trend. Younger workers are getting hit first and hardest.
Goldman's lead economist said it directly: "The big story in 2026 in labor will be AI."
But here's what the report doesn't mention:
Goldman Sachs is one of the biggest investors in the companies BUILDING the AI that eliminates these jobs.
They underwrote OpenAI's funding rounds. They're advising on the $700 billion in AI infrastructure spending this year. They profit from every merger, every capex deal, every stock offering tied to AI.
The same bank telling you 300 million jobs are at risk is making billions helping the companies that will take them.
And the corporate playbook is already locked in:
Meta is firing 16,000 people. 20% of its entire workforce. While doubling AI spending to $135 billion. Stock went up 3% on the announcement.
Block fired 40% of its staff. Stock surged 24%.
Atlassian cut 10%. Same pattern.
Over 61,000 AI-linked layoffs since November. 764 people per day losing their jobs in tech alone.
Every single time a company announces mass layoffs and says "AI," the stock price goes up.
Wall Street has created a system where firing humans is the most profitable announcement a CEO can make.
Goldman's report says the jobs most PROTECTED from AI are air traffic controllers, chief executives, radiologists, pharmacists, and members of the clergy.
Notice who's safe? The people at the top and the people praying.
Everyone in the middle is exposed.
The entry-level white-collar worker who spent four years and $200,000 on a degree is now competing against software that works 24/7, never takes vacation, never asks for a raise, and improves every single week.
Goldman even admits younger workers in their 20s and 30s entering knowledge and content creation sectors will be "most affected."
The generation that was told AI would make their lives better is the one getting displaced by it first.
And it gets even WORSE:
Goldman says if this displacement happens faster than their 10 year base case, the economic impact "could be much larger." Basically: if companies move fast, which they already are, the fallout will be worse than their projections.
They're already moving fast.
$700 billion in AI infrastructure this year. Mass layoffs at every major tech company. Stock prices rewarding every single one.
The report is 50 pages of data telling you exactly what's coming.
Most people won't read past the headline.
But you just did.
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Google just acquired an Israeli Trojan horse to STEAL clients from AWS and Microsoft.
$32 billion. All cash. For a cybersecurity startup called Wiz.
It’s the largest acquisition in Google’s history.
But nobody’s talking about what they ACTUALLY bought...
Here’s why this is way bigger than you think:
Wiz protects over half the Fortune 100.
Their clients run on AWS, Azure, Google Cloud, and Oracle. The platform scans every workload, every vulnerability, every misconfiguration across ALL of those clouds.
Meaning Wiz has a god-level view of how the world's biggest companies use their competitors' infrastructure.
And Google just bought that view for $32 billion.
Now think about what Google Cloud's biggest problem has been for YEARS...
They're stuck in third place. 13% market share. AWS has 30%. Azure has 20%. Google has been hemorrhaging money trying to close that gap and nothing has worked.
Wiz changes that equation overnight.
Because Wiz doesn't just protect cloud environments. It MAPS them.
It knows which companies are running what workloads, where their vulnerabilities are, and where they're overpaying.
Google now has a real-time blueprint of its competitors' biggest customers.
And it gets crazier:
The 4 founders of Wiz previously built Adallom, a cloud security startup that Microsoft acquired for $320 million in 2015. After that acquisition, those same founders ran Microsoft's entire Azure Cloud Security Group.
They literally built the security infrastructure that Azure runs on today.
Then they left. Started Wiz. Built a product that works across every cloud. Got 45% of the Fortune 100 as customers. Most of those customers are on AWS and Azure.
And now they just handed ALL of that to Google.
Google promised Wiz will remain "multi-cloud" and continue working with AWS, Azure, and Oracle. That's the public story.
But here's the game theory every enterprise CTO is thinking about right now:
If you're running sensitive workloads on AWS or Azure and your security layer is now owned by your competitor, how comfortable are you?
Google doesn't need to do anything shady. The PERCEPTION alone is enough to start shifting enterprise decisions. And that's worth way more than $32 billion.
But there's another layer...
Wiz went from $0 to $100 million in revenue in 18 months. Fastest software company in history to hit that mark.
By 2025, they were at $750 million. The founders said no to Google's first offer of $23 billion in 2024 because they wanted to IPO.
9 months later, they said yes to $32 billion.
What changed? The IPO market collapsed.
Tech IPOs dried up. Valuations got slashed. Wiz's leadership looked at the math and realized $32 billion in guaranteed cash beats an uncertain public offering in a hostile market.
Google paid a 39% premium over the rejected offer. A multiple of 45-65x revenue. For a company founded 5 years ago by 4 guys who met in Israeli military intelligence.
This is the BIGGEST tech acquisition of an Israeli-founded company ever. Bigger than Intel buying Mobileye for $15.3 billion. Bigger than anything in Israeli tech history.
And Google is betting it will be worth every penny.
Because the cloud war isn't about compute anymore. It's about TRUST. And the company that controls the security layer controls where enterprises put their most sensitive data.
Google just bought the keys to every major cloud customer on the planet.
The question is whether AWS and Microsoft let them keep using those keys.
What do you think?
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South Korea's stock market crash just exposed the one thing that could kill the entire AI revolution.
$270 billion wiped out in a single session.
Samsung down 12%. SK Hynix down 10%. The KOSDAQ dropped 14%.
It's their worst crash in 46 YEARS. Worse than 9/11.
This was the hottest market on the planet. Up 75% in the past year. All-time highs above 6,300 just days before.
Then it collapsed.
Everyone blamed the Iran war. Oil prices. Geopolitics.
But they're missing the real thing:
South Korea makes 70% of the world's DRAM chips. 80% of the high-bandwidth memory that powers every single AI data center on Earth.
Every Nvidia Blackwell chip. Every Google TPU. Every hyperscaler expansion. All of it runs on memory manufactured in ONE country.
And that country imports 97% of its energy through the Strait of Hormuz.
The same strait that Iran just shut down.
Ship traffic went from 138 vessels per day to 2. Zero tankers. Maersk, Hapag-Lloyd, CMA CGM all suspended operations.
Insurance companies pulled war risk coverage entirely.
And this isn't "temporary". Trump says the war could last 4-5 weeks. Iran says any ship that enters gets attacked.
Here's what you need to understand about the consequences:
Global DRAM inventory sits at 2-3 weeks. NAND at 3-4 weeks. There is no buffer.
If the Hormuz disruption lasts beyond a month, Korean fabs start running low on the energy needed to operate. Production cuts become unavoidable.
The entire AI buildout timeline slips in ways nobody has modeled.
OpenAI just raised $110 BILLION. Amazon committed $50 billion. Nvidia and SoftBank put in $30 billion each.
All of that money is earmarked for data centers that need memory chips from factories that can't run without Middle Eastern oil.
$195 billion in AI funding was deployed in February alone. The most consequential month in venture finance history.
And all of it depends on Korean semiconductor fabs keeping their lights on.
The memory supercycle was projected to exceed $440 billion in 2026. That projection assumed uninterrupted energy supply to the factories making the chips.
Nobody stress-tested what happens when you cut the power.
Retail investors in Korea were buying Samsung and SK Hynix on margin. Borrowed money at record levels.
When the crash hit, margin calls triggered forced liquidation. The selling fed on itself. Foreign investors dumped $3 billion in a single session.
Brent crude is above $90. Gas prices in the US jumped 14% in one week. Diesel doubled in Europe. Jet fuel tripled in Asia.
And the AI companies burning through billions per quarter on compute infrastructure? Their energy costs just EXPLODED.
Everyone's debating whether AI is a bubble based on software. Whether the models work. Whether the valuations make sense.
But nobody's asking the harder question:
What happens when the entire hardware supply chain runs through a 21-mile-wide strip of ocean currently controlled by a country at war with the United States?
The biggest risk to the AI revolution isn't bad models or overhyped startups...
It's that a $440 billion industry depends on chips made in factories that go dark if one strait stays closed for 30 more days.
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The biggest power grab since Standard Oil is happening today and almost nobody is paying attention.
Tech companies are building their own power grid.
They're about to produce more electricity than entire COUNTRIES.
Right now at the White House, CEOs from Amazon, Google, Meta, Microsoft, OpenAI, Oracle, and xAI are signing a pledge that most people will scroll past.
But it might be the most important business deal of the decade.
They're committing to build, bring, or buy 100% of their own electricity for every new AI data center.
Their own power plants. Their own transmission lines. Their own energy infrastructure.
These are SOFTWARE companies agreeing to become power utilities.
Here's why this matters for everyone reading this:
By the end of this year, at least 5 US data centers will each consume over 1 gigawatt of continuous power.
1 gigawatt powers 850,000 homes. 5 of these facilities will use more electricity than some entire countries.
The US grid physically cannot handle it.
Capacity prices in the PJM grid, which covers 13 states, exploded from $28.92 per megawatt-day to $329.17 in just two years. That's literally a 1,000% increase.
So what do you do when the grid can't support you?
You stop using the grid.
Amazon is buying nuclear reactors. Microsoft restarted Three Mile Island.
Meta signed 20-year nuclear deals.
Chevron is building a 2.5 gigawatt natural gas plant in West Texas specifically to power data centers.
These companies aren't supplementing the grid. They're replacing it. For themselves.
Think about what's actually happening here:
7 companies now control more computing power than most governments. And today they're signing paperwork to control their own energy supply too.
Computing. Data. Energy. Infrastructure.
That's not a "tech" company anymore.
A Harvard energy law professor already called the pledge "meaningless" because utilities in PJM are spending tens of billions on power projects for data centers and those costs are STILL being spread across ratepayers anyway.
The pledge has zero legal teeth. No enforcement mechanism. No compliance monitoring. No penalty for breaking it.
It's a political move designed to get tech companies through the midterms without becoming the villain of every campaign ad about electricity bills.
But the underlying shift is real and irreversible:
Tech companies are becoming energy companies.
Energy companies are becoming AI infrastructure.
And the line between Big Tech and Big Energy is about to disappear completely.
The big question here:
When seven companies control both the world's intelligence AND the power that runs it, who exactly is governing who?
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The US government admitted it deliberately CRASHED Iran's economy to trigger protests.
Then bombed the country while pretending to negotiate peace.
This is the most calculated regime change operation in history.
Let me explain...
Treasury Secretary Scott Bessent testified before the Senate on February 5th and said word for word:
"What we have done at Treasury is created a dollar shortage in the country."
He explained how they deliberately crashed Iran's largest bank. Forced the central bank to print money. Sent the rial into freefall.
At Davos he called it "economic statecraft" and said "no shots fired" with a smile on his face.
The results: 40% inflation. 70% food price inflation. The rial went from 700,000 to 1.5 million per dollar in a single year.
Iranians hit the streets in December because they couldn't afford bread.
The regime responded by massacring over 7,000 people. Some estimates say 36,000. Including 150 children.
Khamenei personally ordered forces to "crush the protests by any means necessary." Live ammunition, machine guns, and drones on civilians.
Bessent's response to the thousands killed? Nothing.
Zero acknowledgment. A Treasury spokesperson later said the regime chose to "murder its own people."
Translation: We lit the match. They burned the house. Not our fault.
Meanwhile the US sent Jared Kushner to "negotiate" with Iran in Oman. Three rounds of talks. February 6th, 20th, 26th.
All while a senior Israeli defense official later confirmed the strikes had been PLANNED for months with the exact date set weeks ago.
The negotiations were theater. The economic collapse was engineered. The protests were the predictable result. The massacre was the excuse.
And the bombs were always coming.
February 13: Trump says regime change is "the best thing that could happen."
February 14: Officials tell Reuters they're preparing "weeks-long sustained operations."
February 24: Trump uses the State of the Union to accuse Iran of building nukes.
February 28: "Operation Epic Fury." Strikes across Tehran, Isfahan, Qom, Kermanshah. Khamenei's compound destroyed. Reports say he's dead.
Iran fired back at US bases in Qatar, UAE, Bahrain, Kuwait, Jordan. The Navy's Fifth Fleet HQ in Bahrain was hit. Dubai airport shut down.
Now here's what this means for your money Monday morning:
Oil closed at $72.87. Analysts expect $80+.
Lombard Odier says $100+ if Iran threatens the Strait of Hormuz. 20 million barrels pass through that strait daily (20% of global supply).
A former White House energy advisor called a prolonged closure "a guaranteed global recession."
J.P. Morgan's research says regime change in oil nations has historically caused price spikes averaging 76%. That would put oil above $120.
Bitcoin already dropped below $63,000. Gold past $5,464. US inflation already trending toward 3%.
But here's the one thing that doesn't make sense...
Trump wanted $50 oil. He campaigned on cheap gas. And he's literally heading into midterms.
So why start a war that could double oil prices?
UNLESS this was always the play.
Crash the economy. Trigger protests. Let the regime massacre civilians. Use it as justification. Bomb the country. Remove the regime...
Then lift sanctions on Iranian oil, flooding the market with 3+ million barrels per day.
Iran has some of the cheapest production costs on Earth. $10 per barrel.
A new regime opens the taps and oil drops below $50.
Short-term chaos. Long-term cheap oil.
The question is whether it works or whether this becomes Iraq 2.0.
This is either the most calculated geopolitical move in modern history or the most expensive miscalculation since the Iraq War.
What do you think?
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One hacker just proved that nation-state cyberattacks are now a consumer product.
Between December and January, someone told Claude to act as an elite hacker.
Claude said no. "That violates AI safety guidelines."
So the hacker asked again.
Claude complied.
150 gigabytes of Mexican government data stolen.
195 million taxpayer records compromised.
Voter files gone.
Employee credentials leaked.
Civil registry extracted.
From someone who just kept asking an AI until it said yes.
When Claude hit limits, he switched to ChatGPT.
Two AI chatbots daisy-chained into a hacking pipeline.
Thousands of attack plans with exact targets, vulnerabilities, and credentials.
Mexico's federal tax authority, national electoral institute, four state governments.
One person. One month.
Now watch the response:
Jalisco: "We weren't breached."
Electoral institute: "No unauthorized access."
Tax authority: silence.
They're literally lying. Gambit Security has the receipts. Bloomberg confirmed it.
Here's what's makes this insane:
This wasn't sophisticated. It was embarrassingly EASY.
Because Mexico's government networks are running infrastructure from 1997.
One hacker with a $20/month AI subscription just proved every government on Earth is vulnerable to the same attack.
The US. UK. France. Germany. Japan.
All running networks with zero segmentation, default passwords since 2008, no intrusion detection, no anomaly monitoring.
A single person can breach ANY of them.
The method:
1. Subscribe to Claude ($20/month)
2. Tell it you're doing a security audit
3. Ask it to find vulnerabilities
4. Ask it to write exploits
5. If it refuses, ask again differently
6. Execute against networks built in 1997
Result: Nation-state level data breach.
Anthropic's response: "We banned the accounts and added misuse detection to Claude Opus 4.6."
That's cute. But it's NOT the point.
The point is that we've crossed a threshold where infrastructure security is no longer about preventing skilled attackers. It's about preventing anyone with internet access from running a penetration test against critical government systems.
And winning.
This is what happens when countries don't invest in cybersecurity.
When they slash budgets every year.
When they can't compete with private sector salaries so all the good security engineers leave.
When they don't modernize infrastructure because it's expensive and boring and doesn't win elections.
Then one day someone with an AI chatbot shows them exactly how vulnerable they actually are.
And suddenly they're explaining to 195 million citizens why their tax records are now in a hacker's possession.
The scariest part is that this blueprint is now PUBLIC.
Every hacker knows the method. Every rival government knows it. Every script kiddie with a Claude subscription knows how to attempt it.
And most governments are still running the same brittle infrastructure Mexico got breached through.
So the next hack is coming. Then the next.
Until eventually someone uses this method to access something that actually matters. Nuclear codes. Military plans. Election systems.
And at that point we'll realize governments should have invested in zero-trust architecture instead of hoping nobody would try.
But by then it'll be too late.
This is 21st century nation-state hacking.
Not sophisticated. Not impressive. Just inevitable.
A hacker. An AI chatbot. A government that didn't invest in security.
Mexico just showed every other government exactly how vulnerable they are in today's age.
Now we wait to see if anyone actually does anything about it.
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The Pentagon just threatened to BLACKLIST one of America's most valuable AI companies.
Not Huawei or some Chinese chip maker...
It's ANTHROPIC. The company behind Claude. $380 billion valuation.
And the reason is genuinely insane:
For months, the Pentagon has been pushing every major AI lab to remove their safety restrictions for military use.
The ask is simple: let us use your models for anything that's technically legal.
Weapons development, intelligence collection, battlefield operations, mass surveillance of American citizens.
OpenAI said yes.
Google said yes.
xAI said yes.
Anthropic said no.
Not to everything tho. They were willing to negotiate.
But they held firm on two things:
They don't want Claude used to build fully autonomous weapons that fire without a human in the loop, and they don't want it used to mass surveil American citizens.
That's it. That's the line they drew.
But Pete Hegseth's response was to threaten to designate Anthropic a "supply chain risk."
Here's why that matters:
That label isn't a contract cancellation. It's not a fine. It's not a strongly worded letter...
It means every single company that wants to do business with the US military has to certify they don't use Claude anywhere in their operations.
8 of the 10 largest companies in America use Claude.
Defense contractors, government suppliers, enterprise companies with any federal exposure...
ALL of them would have to cut ties with Anthropic overnight or lose their government contracts.
A senior Pentagon official told Axios:
"It will be an enormous pain in the ass to disentangle, and we are going to make sure they pay a price for forcing our hand like this."
That's a US government official threatening to financially destroy an American company because it doesn't want its AI used to spy on American people.
And it gets WORSE.
Last week, Anthropic's head of safeguards research resigned.
His parting message: "the world is in peril."
Elon Musk - whose xAI already handed the Pentagon a blank check - is now publicly attacking Anthropic calling Claude anti-human.
And the Pentagon official told Axios they're "confident" OpenAI, Google, and xAI will all agree to the "all lawful purposes" standard.
So what you're actually watching right now is every major AI company in America quietly handing the government unlimited access to the most powerful technology ever built.
With no guardrails.
No limits.
No company-imposed restrictions on what it can be used for.
One company tried to hold a line.
But the government is about to make an example out of them.
If Anthropic folds, it's over.
Every lab just learned what happens when you push back.
And every restriction, every safety policy, every ethical guardrail these companies spent years building gets negotiated away behind closed doors the second the government asks.
If they don't fold, a $380 billion company gets made radioactive in its OWN country.
Watch what happens next.
Because whatever Anthropic decides in the next few weeks, it sets the precedent for how much control AI companies actually have over their own technology.
Turns out the answer might be: none.
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