Yeah this is the important bit, I’m switching roles to principal engineer: ai at my company. It cannot be a crutch. We’re building multi agentic frameworks that second guess and push back. A real thing here is that OpenAI models are trained on “make the user happy” and don’t push back.

Anthropic models, while not perfect either, structured in the right way, become augmentations and learning tools, primed to admit what they don’t know, primed to push back if it seems like the person doesn’t really understand what they’re really asking. The problems are generally the classic PEBKAC and blindly trusting ai and that’s a human training thing. It’s been in the software world for years. People blindly pasting StackOverflow code into their repos because they don’t grasp the problem and want the quick fix.

Unfortunately, as we’ve seen with with openclaw, it’s a lot of people with an aggressive end goal and no understanding about the tools they are working with, the importance of the human in the loop. Like I said, it’s not perfect but the problems are also just humans getting positive feedback from models designed to do that and now those models are going to be used for autonomous weapons and surveillance.