I Scraped 20,000 YouTube Comments. The Videos and the Comments Were Having Two Different Conversations.

I once collected about 22,000 comments from roughly 140 Korean YouTube videos about AI coding tools and classified them. (Quotes below are translated from Korean.) I wanted to see what people were asking. What came out was something else. What the videos teach Put the titles and tags of those 140 videos in one pile and they say: How to install. How to get started. How to build an app. Which tool is best. All of it is "starting." Follow along, a result appears on the screen, the video ends. What the comments say The comments sweeping up the likes were telling a different story. "Verifying AI mistakes takes so much time. Checking every answer for nonsense got so tiring I just do the work myself now." (👍598) "Coding with AI makes me anxious. If one bug ships, I'm the one responsible. Checking and debugging everything one by one ends up being more work." (👍265) "I pay every month and it lies about work matters like it's nothing." (👍72) "Tokens burn too fast… added $50 and it was gone in half a day." (👍30) It compresses into three complaints: expensive, can't trust it, can't fix it. The videos teach the start. The people are dying right after the start. The scariest comment "Asked it for shampoo recommendations and it recommended one that doesn't exist. Slipped it in between real products — with the weight, the benefits, even a price." (👍49) That comment is the essence of the problem. When AI is wrong, it doesn't look wrong. The fake sits among the real ones, wearing plausible numbers. This is why "just write better prompts" is half an answer. Better prompts lower the odds of being wrong. They don't create a way to know when it's wrong. Drop the error rate from 10% to 3% and you still don't know where the 3% is hiding. If that 3% detonates inside payment logic, money leaves the building. One more finding — where the real questions live While collecting, I noticed the nature of comments changes with channel size. multi-million-sub videos real questions/needs = 12% of comm