Google and Microsoft's AI strategies in the education sector demonstrate innovation and diversity, while OpenAI's ChatGPT Edu further advances AI applications in higher education.
* Glad you mentioned safety: I'm just so struck by the idea of harmful anthropomorphisms. Even before the AI influencers' tendency to encourage everybody to "treat AI like a person" (Ethan Mollick's Principle #3), this dynamic seems *inevitable* yet, in so many ways, harmful
* The single best idea I took away from the paper is that "helpfulness may often be at odds with pedagogy and learning". When referring to the paper, I find myself sometimes saying "an LLM tutor wants to be LESS HELPFUL than an optimized LLM who wants to give you the best answer."
* As I wrote in my post, I think the key achievement of LearnLM was the so far successful Automatic Evaluations because, to me, that implies they have designed a viable optimization method. I happen to believe the proposition that LLM-critics can help improve LLM-tutors, so I think they are on the right path
Very good piece Claire!
Google and Microsoft's AI strategies in the education sector demonstrate innovation and diversity, while OpenAI's ChatGPT Edu further advances AI applications in higher education.
Really helpful - curious about defining 'good teaching' and to the same extent 'good learning'?
That's a stellar overview of the LearnLM model (frankly better than my first reaction captured at https://davidharper.substack.com/p/why-llm-tutors-will-get-better). It prompts a few thoughts for me:
* Glad you mentioned safety: I'm just so struck by the idea of harmful anthropomorphisms. Even before the AI influencers' tendency to encourage everybody to "treat AI like a person" (Ethan Mollick's Principle #3), this dynamic seems *inevitable* yet, in so many ways, harmful
* The single best idea I took away from the paper is that "helpfulness may often be at odds with pedagogy and learning". When referring to the paper, I find myself sometimes saying "an LLM tutor wants to be LESS HELPFUL than an optimized LLM who wants to give you the best answer."
* As I wrote in my post, I think the key achievement of LearnLM was the so far successful Automatic Evaluations because, to me, that implies they have designed a viable optimization method. I happen to believe the proposition that LLM-critics can help improve LLM-tutors, so I think they are on the right path