this post was submitted on 10 Aug 2023
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This is the key with all the machine learning stuff going on right now. The robot will create something, but none of them have a firm understanding of right, wrong, truth, lies, reality, or fiction. You have to be able to evaluate its output because you have no idea if the robot's telling the truth or not at that moment. Images are pretty immune to this because everyone can evaluate a picture for correctness or realism, and even if it's a misleading photorealistic image, well, we've already had Photoshops for a long time. With text, you always have to keep in mind that the robot might be low quality or outright wrong, and if you aren't equipped to evaluate its answers for that, you shouldn't be using it.
Even with images, unless you're looking for it most people will miss glaring problems. It's like that basketball video psychology experiment.
The problem is definitely bigger with LLMs though since you need to be an expert to check the output for validity. I will say when it's right it saves a ton of time, but when it's wrong you need to know enough to tell.