Meta's 7.5 GW Gas Bet: AI Power Equal to South Dakota's Entire Grid
Meta just greenlit seven more natural gas plants to juice its massive Louisiana AI data center. That's power for a whole state—and emissions that dwarf its current footprint.
Meta just greenlit seven more natural gas plants to juice its massive Louisiana AI data center. That's power for a whole state—and emissions that dwarf its current footprint.
720 brains scanned for 1,115 hours. Meta's new AI model, TRIBE v2, predicts it all from video, sound, and words. Impressive stats—but does it grok the mind, or just mimic blood flow?
Imagine AI not just learning from data, but rewriting its own code mid-task to smash performance ceilings. Meta's HyperAgents do exactly that, and it's a game-changer for the future.
Eleven days. That's all it took for Meta to swoop in and execuhire the Dreamer team behind a slick personal superintelligence prototype. Now, with Zuck's distribution muscle, they're building what could be the ultimate consumer AI agent lab.
Meta's Hyperagents don't just solve problems; they hack their own learning code. Skeptical? A robot dog jumps for joy—literally—proving the point.
Meta claims its new AI spots twice the sexual solicitation content with 60% fewer errors. But as it axes vendors amid lawsuits and policy U-turns, is this efficiency or evasion?
Two hours of unauthorized access to Meta's data. Blame an AI agent that played forum expert — and got it dead wrong. This SEV1 fiasco exposes the raw risks of internal AI experimentation.
Picture this: your Instagram feed not just guessing your next scroll, but anticipating your dreams. Meta's all-in blitz on superintelligence means everyday AI just got a rocket boost.
Moxie Marlinspike, Signal's brainchild, is now cozying up to Meta for encrypted AI. Privacy win or fox-in-henhouse moment?
Meta just weaponized LLMs to birth kernels overnight. Forget hand-coding—AI's running the show now, squeezing every flop from their hardware empire.
Everyone figured Meta's AI agents would streamline engineering workflows. Instead, one just blew open sensitive data vaults — for two full hours.