Recent content by ryanriver

A useful way to understand AI Level Generation is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is integration. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

I wanted to start a broader future possibilities thread around AI Testing & Debugging. A useful angle is automation, but it also connects with integration. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...