# expand the context. p=np computational complexity parallel processing solve any problem is easy.

sigh I have nothing against computational complexity theory; but it’s another version of parallel processing under a fancy new name and designation.

The answer to all “paradoxes” is simple:  expand the context.  Go inside out and outside in simultaneously.  Throw a little poetry into the mathematics.  Treat a problem as a singularity for a change, like we do in real life.  Want to crack a bunch of uncrackable passwords?  Steal the laptop with the passwords on it and hold it hostage until someone gives you the code.

There’s lots of ways to solve a problem.  It usually involves: cut it in half.  Solve for the triangles that are left.  Reduce the triangles if they’re too big until you get triangles of a size you can manage.  Then tear the triangles up and give them to preschoolers and mathematicians and poets alike to solve.

Computers just do what we do but faster.  We’re not like a computer: a computer is like us and subject to all the limitations of us because we made them.

We get things backwards so often.  It’s not that it’s not worth trying to solve the issue in the way they’re doing… it’s just, we already have the answers.  We’re just finding more novel ways to get there.