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Guess what? The billionaire CEO just told his own employees: yeah, we kinda fumbled that one.

In a juicy, leaked internal memo obtained by Reuters, Meta CEO Mark Zuckerberg openly acknowledged to his staff that the company made some pretty serious mistakes during its aggressive, AI-driven workforce transformation. I mean, this is the guy spending hundreds of billions of dollars trying to rebuild Meta from the inside out around artificial intelligence. So hearing him casually say, "Yeah, we fumbled a bit," is a massive deal.

Here’s the actual tea: back in May, Meta brutally laid off 10% of its global workforce (around 8,000 people) and abruptly reassigned another 7,000 employees to brand-new, AI-related roles. If you ask me, that’s not a minor corporate reshuffle. That’s a full-on organizational earthquake!

And surprise, surprise... not everything went smoothly. In fact, internal reports show the 6,500-person Applied AI Engineering unit has been nearing an absolute revolt, with some elite engineers bitterly calling their new forced assignments a "gulag" because they were forced into soul-crushing data-labeling and puzzle-solving work.

"Given the complexity of these changes, we've made mistakes and will almost certainly make more," Zuckerberg wrote in the memo. He added that he is "focused on providing as much stability as possible" going forward, but warned, "I don't want to overpromise because the world is changing in ways that are out of our control."

So, how chaotic are things actually getting inside the tech giant? Look at these wild management receipts:

  • Bloated Teams: Meta's new Applied AI Engineering unit was reportedly running structures as wide as 50 individual contributors to a single manager. Imagine trying to schedule a 1-on-1 with fifty people! Employees complained loudly, and Zuck says the company is officially moving to scale that back.

  • The "Waypoint" Strategy: Zuckerberg claims this whole reassignment strategy was actually designed to give the company flexibility. Basically, they shrunk team sizes knowing that if they made mistakes, they could just transfer people back later.

The good news for the survivors? Zuckerberg promised there will be zero additional company-wide layoffs for the rest of 2026. He also noted that Meta would actively try to find more fulfilling, long-term internal roles for the employees who got dragged into the AI model-training trenches.

But that’s not all: To try and rescue company morale before everyone completely quits, Meta is deploying the ultimate corporate band-aid: party budgets. The damage-control itinerary includes:

  • Massively increasing budgets for lavish team offsites and corporate events.

  • Organizing a massive, company-wide hackathon in July to force cross-team collaboration on its newest AI models.

Meanwhile, Meta quietly raised its 2026 capital spending forecast to a mind-boggling $125 billion to $145 billion back in April. So yes, they’re burning a terrifying amount of cash, fumbles and all, to win the AI arms race.

P.S. We go even deeper on YouTube.

So go over there, hit Subscribe, hit the notification bell and come hang with us where the real conversation happens! 

Here’s yesterday’s breakdown: 

Here's what we have for you today

🔒 The U.S. Government Shut Down Anthropic's Most Powerful AI Models (Here's What Happened)

Pour yourself a massive cup of coffee and sit down, because the tech world just had its most dramatic weekend of the year. 

Remember how Anthropic spent months telling the world its newest AI was far too dangerous to release freely, well guess what? The government took notes.

Here’s the absolute madness that went down. 

The US Commerce Department dropped a nuclear-level export control directive late on Friday, June 13, ordering Anthropic to immediately cut off access to its top-tier models, Claude Fable 5 and Claude Mythos 5, for all foreign nationals.

And we mean everyone, whether they are living abroad or sitting right inside the United States on a visa. It even bans Anthropic's own foreign-born employees from using the tech they helped build!

Because it’s practically impossible to check everyone's passport before they log into an API, Anthropic responded in the only way they could: they abruptly killed global access to both models overnight.

If you log into Claude right now, it literally reads "Claude Fable 5 is currently unavailable."

To be clear, Fable 5 had only been publicly available for three days before the plug got pulled. Talk about a short but iconic run.

So, what allegedly caused this total panic?

The Trump administration's official concern was that someone had successfully cracked Fable 5's safety guardrails, opening a backdoor for users to extract highly restricted information.

To catch you up on the tech setup:

  • Claude Mythos 5 is the raw, ultra-powerful base model that was already heavily restricted to just 50 vetted organizations for defensive cybersecurity work.

  • Claude Fable 5 was Anthropic's public-facing version of Mythos, which was fitted with intense classifiers to block risky outputs in sensitive areas like cybersecurity and biology.

Anthropic reviewed the government's top-secret demonstration and immediately pushed back with receipts. They’re calling this whole thing a massive "misunderstanding."

According to Anthropic, the government only provided verbal evidence of a "potential narrow, non-universal jailbreak." The terrifying hack in question? It essentially just amounted to asking the model to look at a codebase and spot routine software bugs. Not exactly the stuff of Hollywood spy thrillers!

Anthropic pointed out that these minor flaws were things they already knew about, and frankly, any public model on the market could find them without any special workarounds. In fact, the company argued that this exact "level of capability" is already widely available in other public models, including OpenAI's GPT-5.5.

The kicker? Anthropic says this kind of bug-hunting is used routinely every single day by cybersecurity professionals for defensive purposes. It’s literally their job! So why were they tergetted?? I mean, it does look fishy.

But wait, weren't Anthropic's safeguards supposed to be totally rock-solid? That’s definitely what they thought!

Before launching, Anthropic spent thousands of hours running Fable 5 through intense stress-testing with the US government, the UK AI Security Institute, and independent red-teamers. Nobody found a broad, catch-all bypass. In fact, users had actually been complaining that the guardrails were too restrictive.

And yet, here we are.

This whole shutdown landed just ten days after President Trump signed a brand-new executive order creating a government framework to review national security risks of powerful AI models. White House AI adviser David Sacks took to X to spill the real behind-the-scenes tea. Sacks revealed that the government actually issued the export control "reluctantly."

The real gossip? The crackdown only happened after Anthropic CEO Dario Amodei personally refused to patch the specific vulnerability or take the model down voluntarily. Sacks noted that the administration actually wants Anthropic to just fix the security issue so they can lift the restrictions and bring Fable 5 back to life.

🍿 Sam Altman Is Somewhere Grinning??

Anthropic has officially stated that while they strongly disagree with the call, they are complying with the law and actively working to restore access as soon as possible. But they didn't go quietly into the night.

They warned that if a government can just arbitrarily shut down commercial AI deployments without a transparent, technically grounded process, the entire frontier AI industry will grind to an absolute halt.

Meanwhile, OpenAI CEO Sam Altman is probably somewhere sipping tea and laughing. Back in April, Altman told podcaster Ashlee Vance that Anthropic's safety-first marketing was textbook fear-mongering.

"We have built a bomb. We were about to drop it on your head. We will sell you a bomb shelter for $100 million," Altman joked at the time.

He might not have predicted an actual federal shutdown, but that petty observation has aged uncomfortably well.

The ultimate irony here is just pure chef's kiss. Anthropic built its entire public identity on being the hyper-cautious, safety-first AI lab, constantly warning the world that their technology was terrifyingly dangerous. But when you scream the loudest about how dangerous your tech is, the people in charge of national security are eventually going to believe you.

Turns out, those loud safety warnings have a funny way of opening the most inconvenient doors.

Oh, and don’t forget to meet us on YouTube so you can get our full take on this later today!

The 10 Best AI Stocks to Own in 2026

AI is moving from experiment… to essential.

Every major industry is integrating it.
Every major company is investing in it.

By late 2025, AI was already an $800B market — growing at a pace that could push it well beyond $1 trillion in the years ahead.

Cloud infrastructure is scaling fast.
AI-enabled devices are multiplying.
Automation is becoming standard.

But here’s the real question…

When trillions flow into this transformation — which stocks stand to benefit most?

Our new report reveals 10 AI stocks positioned across the backbone of this shift — from the companies powering the infrastructure… to those embedding intelligence into everyday systems.

If you want exposure to one of the defining growth trends of this decade, start here.

🧱 Around The AI Block

🤖 AI Workout Of The Day: The AI Guide to Raising Capital

Gif by VoiceAgentAI on Giphy

It’s been a wild ride for founders lately. In the "old days", fundraising meant begging for warm intros and spending six months manual-scrolling through LinkedIn until your eyes bled.

Well, let me tell you, that’s officially so 2023.

While the rest of the world is busy arguing about whether AI will take our jobs, smart founders are using it to take the checkbooks. AI tools are now doing the heavy lifting of investor matchmaking. And instead of blasting random lists and hoping for a miracle, these bots are matching founders with the right people based on actual data.

Think of it like having a super-smart friend who knows every investor on the planet, what they like, what they hate, and exactly when to slide into their DMs.

How it works: 

These platforms scan massive databases—we’re talking 50,000+ contacts across VC and Angel networks. But instead of just dumping a phone book on your desk, the AI actually reads what your startup does (crazy, right?) and matches you with people who have funded similar dreams before.

It’s like a dating app, but instead of swiping on people who "love hiking," you’re matching with VCs who specifically invest in Boston-based Fintech Series A rounds. (Way better).

The Toolkit Making the Magic Happen:

  1. Crunchbase Pro: The GOAT for super-specific filters. It’s commonly used by sales teams, investors, and entrepreneurs to find leads, conduct market research, and monitor competitors.

  2. PitchBook: This goes deeper with AI-driven insights into investor behavior. It can literally predict who is most likely to cut a check based on historical data. (Creepy? Maybe. Useful? Absolutely.)

  3. Evalyze.ai: This one actually grades your pitch deck and matches you with investors so you don’t walk into a meeting with a mediocre presentation.

  4. OpenVC: A free platform to search 20,000+ verified investors. Plus, it tracks who opens your deck and—more importantly—exactly how long they spent looking at your "Team" slide.

But here’s where it gets really wild: some tools don't just find the names, they write the outreach emails and handle the follow-ups automatically. They personalize the "Why you?" section for each investor using AI, so you can spend your time building your product instead of playing endless rounds of email tag.

The Big Picture: In 2025, AI startups attracted $192.7 billion in VC money (that’s nearly 53% of the total pie!). So yes, there is more money out there than ever, you just need the right AI to help you find it. 

Additional Resources:

💡 Prompts to try:

In 2026, AI is smarter, but "hallucinations" still happen. Next time you get a complex answer, use the Critique Prompt.

This forces the AI to check its own work before you do!

"Review your own answer and find two potential errors or biases. Then, rewrite the answer to be more objective." 

Is this your AI Workout of the Week (WoW)? Cast your vote!

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