There’s been a lot of hype about Chat GPT, the AI-generated chat tool that is now valued at $29 billion. For sure, the technology underlying Chat GPT and Open AI is impressive. This post is not meant to explain how Chat GPT works, suggest how Chat GPT can be improved, or to criticize Chat GPT for being over-hyped. There are plenty of articles already doing all of those things. (Some of those articles were probably even written by Chat GPT.). The purpose of this article is to show the limitations of machine learning models, especially in situations for which we have little or no intuition.
This makes a lot of sense. It explains why ChatGPT is bad at teaching. In a framework where I have no intuition on how to direct or redirect its responses- the information it gives is often scattershot and seldom foundational.
This makes a lot of sense. It explains why ChatGPT is bad at teaching. In a framework where I have no intuition on how to direct or redirect its responses- the information it gives is often scattershot and seldom foundational.