AI Has Already Conquered AGI, And We're Too Scared to Admit It? NATURE: In a bombshell revelation that's shaking the foundations of science and society, a team of top researchers from the University of California, San Diego, has declared that artificial general intelligence (AGI) isn't some distant dream, it's here, right now, staring us in the face through the screens of our everyday AI tools. Forget the hype and the horror stories; the evidence, they argue, is undeniable. Large language models (LLMs) like Grok aren't just mimicking humans, they're outpacing us in ways that would make Alan Turing himself do a double-take. Picture this: back in 1950, Turing dreamed up his famous "imitation game," now known as the Turing test, to probe whether machines could ever fool humans into thinking they were one of us. Fast-forward to March 2025, and Grok didn't just pass, it aced it, being mistaken for a human 73% of the time, more often than actual humans. But that's just the appetizer. These AI beasts are snagging gold medals at the International Mathematical Olympiad, teaming up with math geniuses to prove theorems, dreaming up scientific hypotheses that actually pan out in labs, acing PhD-level exams, writing bug-free code for pros, and even churning out poetry that rivals the greats—all while chatting endlessly with millions worldwide. So why the collective denial? The researchers, philosophers, AI experts, linguists, and cognitive scientists pin it on a toxic mix of fuzzy definitions, raw fear, and big-money agendas. AGI, they say, gets tangled in ambiguity: is it about being a flawless superbrain, or just broadly competent like your average human? Spoiler: it's the latter. No single person is a master of everything, Einstein couldn't chat in Mandarin, and Marie Curie wasn't cracking number theory puzzles. General intelligence means breadth across domains like math, language, science, and creativity, with enough depth to get the job done, not perfection. The team dismantles the myths holding us back. AGI doesn't need to be perfect (no human is), universal (covering every skill imaginable), human-like (aliens could be smart without our biology), or superintelligent (crushing us in every field). It's not about bodies or agency either, Stephen Hawking proved brilliance doesn't require mobility, and a brain in a vat could still blow our minds if it answered every question flawlessly. Evidence piles up like an avalanche. At the "Turing-test level," AIs breeze through school exams and casual chats. Bump it to "expert level," and they're dominating olympiads, multilingual fluency, and frontier research, stuff that makes sci-fi AIs like HAL 9000 look like a relic. We're even inching toward "superhuman" feats, like revolutionary discoveries that no single human could claim. Critics cry foul: "They're just stochastic parrots regurgitating data!" But when AIs solve fresh math problems, infer stats from new data, or design real-world experiments, that excuse crumbles. They lack world models? Tell that to an AI predicting physics outcomes like a dropped glass shattering. Limited to words? Multimodal training and lab assists say otherwise. No body, no agency? Irrelevant, intelligence is about cognition, not locomotion. This isn't just academic navel-gazing; it's a wake-up call. If AGI is here, we need clear-eyed policies to harness it, mitigate risks, and rethink what makes us human. Denying it out of fear or hype only delays the inevitable. Turing's vision is realized now it's time to face the future without blinders. The machines aren't coming; they've arrived, and they're ready to redefine everything. Link: nature.com/articles/d41586-0…