What AGI Really Means — A Simple Way to See the Gap
Think of artificial general intelligence like a machine that can think as flexibly as a person.
This idea describes AGI as matching the range and skill of a well-educated adult, not just one trick or task.
To measure that, researchers broke thinking into key parts like reasoning, memory and seeing, then tested current systems the same way people get tested.
The result: today's models are kind of mixed — very good at facts but weak in core parts of thinking, making a jagged profile where some skills shine and others fail.
One big weak spot is long-term memory, which makes systems forget patterns humans keep.
Numbers show steady gains, so there is real AGI progress, but also a big gap before we reach human-like thought.
The future feels close in some ways yet far in others; interesting and a little uneasy, but now we can actually say how far we are, and what to fix next.
Read article comprehensive review in Paperium.net:
A Definition of AGI
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