I'll join you in being downvoted. Human teachers can be audited without advanced knowledge in maths, computer science, and information theory to discover what

I'll join you in being downvoted. Human teachers can be audited without advanced knowledge in maths, computer science, and information theory to discover what went wrong. Human teachers can be held accountable. A Human teacher has limited scale thus limited damage over bad information with more safeguards than "Big Corp promises not to be bad" A human teacher can realize their own mistakes. Human teachers have complex incentive structures that can modify their behavior. Many humans (even ones with technical training) tend to see computers as infailible in first principals of math and carry that forward to deep learning which is where the math becomes tough to audit, couple that with LLMs affinity for overcoming the uncanny valley enough to seem like a rational human actor because of the datasets being used and you have "magic". This is before you even add financial incentive. Not saying these issues in deep learning can't be tackled but the disengenous hype-train and the downvoting because people point out flaws with the new internet ATM is wearing thin.