So correct me if I'm wrong, but the following happens for AI:

• Company gives guidelines and parameters for the project
• Company trains AI on whatever data
• No matter the data, AI still gives a general answer or summary.
• The answers are sometimes confidently incorrect
• The AI is uncontrollable because it considers the data general or loosely based guidelines
• There is no way to control the AI after a certain tipping point, because its learning is based in a fuzzy math way of thinking

What I don't get is, even if the data wasn't shitty like reddit's info, would it still go off the rails? It sure seems like it.