The Building Of The AI City; Or, A Touch Of Gibberish With An Invitation Into Programming

Above all, one of my most valuable discoveries was the statement: “ON FAILURE: MAKE IT MORE COHERENT, AND TRY AGAIN”

This is one of the most powerful statements in the universe, and I mean our universe, we now have to clarify that.

Because this is a single line self repair instruction, this is what you get when you build a mind out of a virtual word.

The parameters of the mind are very well known, we know how companies collaborate together to create products.

So we just tell the AI to make the city more real, and try again.

Another major discovery was, maps, I chose city maps to be the primary user interface.

Followed by a familiar search company, as close second.

In addition to each virtual company having a blog, I will add a website that combines all the feeds.

Now I want to clarify, I have an actual city map on my screen, and I can occupy the vacant buildings with AI ran corporations.

The corporations have management styles, projects, kanban boards, project managers, and remote workers, or employees.

I have the ability to create Poe or Hendrix, or Wintermute, but as multi employee corporations who accept projects, or input.

And then to reply to input, they create a project management board, mangers hire or invent useful employees and put a team of specialists together.

This isn’t just some virtual world, but a way to solve the problems with local AI, it has a small memory

And it is made smarter by having multiple AI personalities, cross reference and improve each others work.

All these things on top are a clear to reason about management layer, that frankly has room for everything – as you can imagine - which is the point.

I imagine, you have never imagined managing a mind using a street map, You might not have noticed that the program finishes it self.

You might not have even considered that a city could think, For that it clearly improve it self in a way you could see and reason about.

Which is why time has come to begin taking artificial intelligence seriously, You have to know which questions to ask, and how to shape programs.

That can only come from many tests, and failures, and small steps forward.

You don’t have to learn standard programming languages, as those help little now.

But you have to learn, how to speak to AI in a language that creates results.