|
|
|
|
|
by Ieghaehia9
1244 days ago
|
|
Maybe it would be possible to create some kind of equilibrium/fixed-point based AI that, for everything it knows, it knows that it knows, knows that it knows that it knows, and so on. Then again, perhaps not, because PPAD is much harder than P; so just getting the AI to maintain the perfect self-knowledge invariant as it learns more things could be intractable. There might also be halting problem reductions if the AI is sufficiently powerful, although I'm not sure. |
|
Something that many people are surprised to realize, including me, is how much of our life can be be described by a context-free language. When we try to create a machine which knows-that-it-knows this is context-sensitive. Day and night comparison, Javascript vs CSS for example.
Machines are currently able to compare, contrast and mimic images and text,a thousand times better than a human. Maybe even million times better than a human. Very soon this will be billion and trillion.
This copying machine, copies only the context-free properties of the subject it analyzes. The moment it will try to copy context-sensitive properties, then the it hits the halting problem. No LLM currently has any problem terminating, so it analyzes only context-free properties of the subject.
A human song, a painting or a novel, maybe copies only the context-free properties from one other song, painting or novel. We humans for centuries and millennia described it as creativity. It turns out it was not creativity. Machines are creative only because we conflated context-free art creation, and context-sensitive art creation. When that distinction takes place, then machines will not be described as creative anymore!