AI Made This Video

Whatever happened to the good old-fashioned noncompete contracts?! How do top AI researchers leap from companies like OpenAI straight into Meta—and nobody stops them? 

To lure leading minds from companies like OpenAI and Apple, Meta has put hundreds of millions of dollars on the table. Some researchers have reportedly been offered packages worth $200 million to $300 million over four years, while the rarest talents have seen deals reach as high as $1.5 billion for just six years. That’s more than most professional athletes make in their careers, and it shows just how critical artificial intelligence is in today’s business landscape.

These compensation packages aren’t just straight cash. They combine base salary, enormous signing bonuses, restricted stock units (RSUs), and performance incentives that can grow if Meta’s stock value climbs. Even staff below superstar level—like experienced machine learning engineers—are seeing base salaries upwards of $440,000, excluding huge potential equity grants and bonuses.

So how do the hiring companies get away with it? In California, noncompete agreements are almost always unenforceable. If you work at OpenAI (or any tech giant in the Bay Area), you really can walk across the street to Meta with zero legal drama.

ALSO, in 2024, a major federal rule banned most noncompetes nationwide (except a few top execs). Companies are scrambling to adjust, and most agreements you sign today won’t actually block you from taking your next dream job.

So… what actually keeps you stuck? It’s not noncompetes. It’s NDAs. You can’t take secret sauce. 

And then there are the loyalty bonuses, that get paid out after X amount of time — if you’re still there. 

If you’re ready to bounce, don’t cross the line with trade secrets, but don’t let old-school noncompetes hold you back anymore!

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Rinor RestelicaAI made this video.
Zuck vs Sam

Deepfakes are no longer futuristic they’re here, and they’re scarily easy to make. With a few clicks, AI can create videos that look real enough to deceive anyone.

That’s the danger. 
But also the opportunity. 

Because from now on, people will start questioning everything they see online. And that’s exactly the kind of awareness we need in a digital world built on illusions.

What do you think?

See post on LinkedIn