What's the actual difference between AGI and the AI we use today?

The simplest way to put it: today's AI is a specialist, while AGI would be a generalist. Think of it like the difference between a master chef who only makes sushi and someone who can walk into any kitchen and cook anything from scratch, even dishes they've never seen before. That's the gap we're talking about. Current AI — the kind in ChatGPT, Midjourney, or your phone's voice assistant — is what researchers call "narrow AI." It's incredibly good at one thing. Sometimes superhumanly good. A chess AI will destroy any grandmaster. But that same AI can't write a poem or tell you if a photo has a cat in it. It's a one-trick pony, even if the trick is amazing. AGI, or Artificial General Intelligence, is the big dream. John Carmack, the legendary game programmer behind Doom, recently announced he's going all-in on building it. The idea is a single system that can reason, learn, and apply itself to any intellectual task a human can. Not just translate languages, but understand the cultural nuance in a joke. Not just analyze a spreadsheet, but notice a business opportunity hiding in the data and suggest a new strategy. Here's where it gets tricky. We don't really know how to build that. Narrow AI learns from massive piles of specific data — millions of labeled cat photos, for example. AGI would need to learn more like a human child does, by interacting with the world, forming concepts, and applying old lessons to brand new problems. It's a fundamentally different problem. A practical tip: when you hear a company claim they have "AGI," be skeptical. What they almost certainly have is a very good narrow AI. True AGI would be a scientific earthquake. According to a 2024 survey of AI researchers published on AI Impacts, the median prediction for when we'll see human-level AGI isn't until 2060. Some say sooner, some say much later. Nobody actually knows. But the gap between a specialist tool and a general intelligence is still a canyon, not a crack in the sidewalk.