AI content emulates the "production values" of high quality content, but it doesn't actually have the quality of the content it's emulating. This is why it seem

AI content emulates the "production values" of high quality content, but it doesn't actually have the quality of the content it's emulating. This is why it seems impressive at first and can even fool people for quite a while. It fools our brains' heuristics for detecting good content. But when you examine it closely, the illusion falls apart. NotebookLM is not different than other generative AI products in this respect. I do think that this will change in the not too distant future. OpenAI's o1 is a step in the direction we need to go. It will take a lot more test-time compute to produce content that has high quality to match its high production values.