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I wanted to start a broader mistakes and lessons thread around AI Robots. A useful angle is troubleshooting, but it also connects with common mistakes. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...

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