🐼 Silicon Valley Drama: Meta & Scale AI’s Billion-Dollar “Marriage” on the Rocks
If you thought K-pop relationships were short-lived, wait until you hear about Meta and Scale AI. They signed a $14.3 billion deal in June, smiled for the wedding photos… and now it already looks like divorce court.
💸 Meta marries Scale AI… but maybe picked the wrong partner
Meta poured $14.3B into Scale AI, bringing in CEO Alexandr Wang and some top talent to run its brand-new Meta Superintelligence Lab (MSL).
The dream? “Combine data + brains and build the ultimate AI overlord.”
The reality? Within two months, key people started bailing like extras in a horror movie who know the haunted house is about to collapse.
⚡ Internal chaos, Silicon Valley style
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Ruben Mayer (ex-VP at Scale AI) → joined Meta → quit after two months.
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Several ex-OpenAI and ex-Scale folks also packed up and left.
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New recruits complained about steering the Meta Titanic, while old Meta AI staff grumbled about their shrinking influence.
→ Basically, the lab feels less like a cutting-edge AI hub and more like a family business with daily shareholder drama.
📉 Meanwhile, Scale AI is… not scaling so well
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Started with cheap crowdworkers for labeling data. But today’s AI needs specialized data from doctors, lawyers, scientists → and Scale AI is struggling to keep up.
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Rivals Surge and Mercor went premium from day one, paying experts well → now they’re sprinting ahead.
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Lost OpenAI and Google as clients right after the Meta deal.
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Cut 200 staff in July, with the new CEO calling it a “market shift” (translation: clients ghosted us).
🤔 Did Meta really want Scale AI?
Some analysts think Meta’s move was less about Scale AI’s value and more about poaching Alexandr Wang.
But putting a data-labeling mogul (with no hardcore AI research background) in charge of a superintelligence lab feels a bit like giving your Uber driver the keys to a nuclear submarine.
🐢 Meanwhile at MSL…
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They’re working on the next generation of Llama models, due later this year.
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Problem: Llama 4 earlier this year landed with a thud — developers complained it couldn’t code well, reason well, or even follow instructions properly.
👉 Bottom line:
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Meta: wants to dominate AI, but drowning in talent drama.
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Scale AI: losing customers, staff, and maybe its shine.
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Alexandr Wang: probably wondering whether running a shaky startup was easier than being Mark Zuckerberg’s in-house therapist.
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