🤖 Meta snaps up AI talent - Andrew Tulloch heads back
Meta just landed another high-profile hire: Andrew Tulloch, co-founder of Mira Murati’s AI startup Thinking Machines, is returning to Meta. The move underscores Meta’s relentless push to secure top AI talent as it races to sharpen both its foundation models and infrastructure.
Oddly enough, Tulloch’s jump mirrors a wave of similar high-stakes moves across the AI talent pool-everyone’s poaching everyone.
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💰 All-AI fund fires human analysts - machines take over
A ₹6,000 crore (≈ $720 million) investment fund has dismissed all its human analysts, putting an AI system fully in charge of portfolio management. No humans. Zero. Just algorithms steering millions.
It’s either bold innovation or reckless automation, depending on who you ask… and the symbolism? Chilling.
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📉 AI bubble jitters hit Wall Street
A $35 billion fund manager is bracing for what it calls an “AI bubble unwind,” betting that investors will soon rotate away from overheated AI names. In other words, the hype may finally be too hot to handle.
The worry: too much money chasing too little real progress. Or maybe it’s just another loop in the hype-and-hope cycle.
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⚙️ “Workslop” - the AI-made junk flooding offices
A Guardian-reported survey found that 40% of U.S. employees say their bosses hand them AI-generated work that “looks fine but means nothing.” Researchers dubbed it workslop-a pitch-perfect word for perfectly mediocre output.
It’s funny, sad, and a little poetic… machines are efficient at sounding smart while saying nothing.
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🧱 AI cracks a century-old physics puzzle
Scientists at the University of New Mexico and Los Alamos built an AI framework called THOR that solved notoriously gnarly physics equations. These weren’t just tough-they’d stumped traditional methods for decades.
If THOR scales, it could change how we model materials and simulate the cosmos itself. The kind of result that makes even physicists go, “…wait, really?”
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🇪🇺 EU bets €1.1 billion on AI sovereignty
The EU just unveiled a €1.1 billion plan to boost AI in critical sectors like defense, energy, and manufacturing-a direct response to U.S. and China dominance.
It’s industrial strategy with a geopolitical flex, meant to keep Europe from slipping further behind in the AI race.
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👥 HR experts float “human quotas” for the AI age
A twist from Gartner analysts: future workplace diversity might include “human quotas”-policies that ensure real humans remain in creative or leadership roles.
It’s a reaction to the creeping sense that automation could edge people out entirely. Irony level: high.
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