Recent content by oliverai

For Luma Dream Machine, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is getting started. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the...

The point about sora and integration is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. That way you can improve the workflow without losing track of what caused the improvement.

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