TL;DRAGI — artificial general intelligence — is a moving, contested target, not a fixed milestone.
AGI loosely means AI that matches or exceeds humans across most cognitive tasks. But there's no agreed definition or test, and the goalposts move as systems improve ("that's not real intelligence"). Forecasts range from years to never. Treat AGI claims skeptically: focus on demonstrated capabilities and limits on concrete tasks rather than the loaded label, which generates more heat than light.
Key points
Human-level across most cognitive tasks (loosely)
No agreed definition or test
Goalposts shift as models improve
Judge concrete capabilities, not the label
Common mistakes
Treating "AGI" as a precise milestone
Taking confident timelines at face value
Debating the label over actual capabilities
Try it: Explain why "AGI" is hard to define or measure.
Example code
<!doctype html><html><head><meta charset="utf-8"></head>
<body style="background:#06040d;color:#e6e0ff;font-family:monospace;padding:20px"><pre>AGI ≈ human-level across most tasks (vague)
no test, moving goalposts
→ judge concrete capabilities, not the word</pre></body></html>