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I don't know about where you're from but in my country to teach requires several years of qualifications, assessment and continuing observation by an independen

I don't know about where you're from but in my country to teach requires several years of qualifications, assessment and continuing observation by an independent regulator and there are consequences if you're caught teaching rubbish not to say they are perfect, but there is some level of quality control meanwhile ChatGPT just bullshits endlessly with no possible way to punish OpenAI for it

MeImCounting 3y ago
I think perhaps you had a bad experience with GPT at some point or didnt ask it to provide sources that you then read through. Either way it is far more reliable than you seem to believe.
- CamperBob2 3y ago
  It's also getting better, while other resources aren't, and won't.
ben_w 3y ago
I've just listened to the latest Numberphile podcast, and one of many surprising anecdotes from Donald Knuth was that as a kid he'd been disillusioned by maths when he "proved" that 1=0 and his teacher couldn't find the mistake. > meanwhile ChatGPT just bullshits endlessly with no possible way to punish OpenAI for it Sure there are, and more importantly there's also ways to "punish" the models themselves — that's what the "thumbs down" and "regenerate response" buttons in the chat UI are for.
scrps 3y ago
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.

MeImCounting 3y ago

I think perhaps you had a bad experience with GPT at some point or didnt ask it to provide sources that you then read through. Either way it is far more reliable than you seem to believe.

CamperBob2 3y ago
It's also getting better, while other resources aren't, and won't.

ben_w 3y ago

I've just listened to the latest Numberphile podcast, and one of many surprising anecdotes from Donald Knuth was that as a kid he'd been disillusioned by maths when he "proved" that 1=0 and his teacher couldn't find the mistake. > meanwhile ChatGPT just bullshits endlessly with no possible way to punish OpenAI for it Sure there are, and more importantly there's also ways to "punish" the models themselves — that's what the "thumbs down" and "regenerate response" buttons in the chat UI are for.

scrps 3y ago

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.