Watch the deep dive into Meta's recent hiring spree and the tech job market here 👉 "The Tech Job Market Divide: WTF is Happening?" https://youtu.be/X1XMnG_31YM
1 month ago | 0
First i must thank you.. Now i have started my aiml journey with your roadmap. My target is to get start my own startup on ai. And diversify in tech.. thank you. Still on the start..❤️
1 month ago
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I think human-level intelligence AI requires more than an excellent model; it requires another kind of computing and a better knowledge of how the brain works. I think it will happen, but only when real usable quantum computers will be available.
1 month ago
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What a load of crap... for 200 mln of cash id change personality at work, hell, normal people are forced to do it for minimum wage everyday -.-
1 month ago (edited) | 2
Cs major here. Do you have any guidance on how I can be an ai engineer? I graduate in the end of 2025. I feel lost…
1 month ago | 0
What is eq. Hi I want to be a AI engineer so I can create a different kind of AI model I am learning js now but I to learn about how to build ai model in detail could help telling what should I do to get there it will be a great help thank you so much ❤❤❤❤❤
1 month ago
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Jean Lee
Meta is building what might be the most talent-dense AI team on the planet, and that could be both its biggest asset and its toughest challenge.
Mark Zuckerberg’s “superintelligence” unit (currently called TBD Lab) now includes high-profile hires from OpenAI, Anthropic, Google DeepMind, and more, with some pay packages reportedly topping $200M. The mission: fast-track AI to (or beyond) human-level intelligence.
But decades of research warn that too many stars in one room can spark ego clashes, turf wars, and stalled decisions. Harvard’s Boris Groysberg notes that superstar-heavy teams can actually underperform if roles and decision-making aren’t crystal clear.
Experts say the keys to making it work are:
✅ Define clear “swimming lanes” so talent sees each other as collaborators, not threats
✅ Establish decision rights upfront to prevent authority battles
✅ Build trust and shared purpose, a process that can’t be rushed, even in AI’s breakneck race
Zuckerberg has tapped Alexandr Wang (Scale AI) and Nat Friedman (ex-GitHub) to lead the 50-person unit. Their challenge isn’t just building the smartest AI, it’s building the smartest team.
✅ Recruiting the best is just step one, integrating them is where the real leadership test begins
✅ Star power without structure risks implosion, no matter the industry
✅ In AI’s “superteam” era, management skill may be as decisive as technical skill
Biggest asset or challenge? Share your thoughts 👇
1 month ago | [YT] | 127