Zuck is officially the most evil man in AI
TL;DR
Meta is reportedly turning employee laptops into always-on surveillance devices — Mo Bitar says Meta is requiring US employees to run keylogging and screen-recording software during work hours, calling it the digital equivalent of strapping a GoPro onto roughly 78,000 workers.
His core claim is that AI’s real product right now is fear, not usefulness — Bitar argues Meta AI is barely used beyond accidental taps in WhatsApp, while the threat of AI-driven job loss is what’s actually reshaping worker behavior and power dynamics.
The video frames data hunger as the next phase after money hunger — after AI companies burned enormous capital, he says the competitive frontier is now who can capture the most human-generated data, starting brazenly with their own employees.
He ties Meta’s surveillance push to layoffs and leverage — Bitar points to Meta laying off 8,000 people in the same month as the monitoring program, arguing the message is simple: first scare workers about the market, then normalize control.
He’s not anti-AI so much as anti-science-fiction sales pitch — Bitar calls AI a real, remarkable technology and even says he’s seen it reason impressively, but rejects the leap from “interesting software” to inevitability narratives about replacing humans or solving everything.
His closing idea is that physics and economics still matter — in his telling, AI may be less a limitless digital species than “AWS for pseudo-intelligence,” useful but expensive enough that the revolution could stall in what he jokes is “our atmosphere of money.”
The Breakdown
“The AI is hungry”: Zuckerberg as priest of the basement monster
Bitar opens with a darkly comic bit: Mark Zuckerberg pacing Meta HQ muttering, “The AI is hungry,” then offering up his daughter before realizing what the machine really wants is “the 78,000.” It’s absurd on purpose, but the punchline lands when Zuck scrolls the employee directory and supposedly realizes the raw material is his workforce.
Meta’s “GoPro” for employees
From there he gets concrete: Meta, he says, announced software for US employees that records screens and logs keystrokes all day, and workers aren’t allowed to remove it during company hours. Bitar paints it like a wearable camera for knowledge work, mocking the idea that Zuckerberg will capture some grand symphony of productivity instead of the messy, human reality of office life.
Nobody uses Meta AI — but everyone can be used by it
He twists the knife by arguing Meta is doing all this for a product nobody really loves. In his telling, “Meta AI” is mostly the thing that pops up in WhatsApp when you fat-finger the wrong icon, and its real user base is accidental taps, not genuine demand.
From ad-tech data collection to full-spectrum harvesting
Bitar says this is bigger than Meta because every AI company now needs two things: money and data. The money has already been inhaled, he argues, and now the models want the entrée — more data than the old advertising systems ever needed, which means privacy settings and restraint start to look like luxuries companies will gladly discard.
Why workers are first in line
He lingers on the human cost: imagine being one of the tens of thousands of people already uneasy about working at Meta, then getting told your every click is now part of the machine. His key point is that this only works because the job market is shaky and the AI doomer story has softened people up; he notes Meta laid off 8,000 people in the same month and frames it as “first they spook you, then they shackle you.”
Black Mirror got the wrong dystopia
Bitar says the real nightmare isn’t perfect memory or secret exposure — it’s extraction. He updates The Matrix with a modern image: the cable is your USB-C cord, the simulation is your salary, and what looks normal is actually a system built to drain workers for model training.
AI is real, impressive, and maybe still economically trapped
The last stretch is more measured. He calls AI a paradigm-shifting technology and says he’s seen it do genuinely brilliant things, but insists it’s still an approximation of human intelligence — “AWS for pseudo-intelligence,” not magic. His closing push is against inevitability theater: maybe AI doesn’t become cheap, infinite, and world-swallowing, and maybe we should respect the intelligence we already know exists instead of surrendering to sci-fi narratives that make control feel necessary.