[brotchie]

GPT 5.6 already is an explainer agent.

Fork Tao’s convo and prompt this (with your own math level described).

GPT did a great job of translating Tao’s questions and concepts (e.g. “pre image”) into a progression I could understand.

“Ok I have a PhD in financial math and undergrad in engineering math. I have almost zero knowledge of polynomial algebra / geometry, I know what a polynomial is and what roots are but not much beyond that. Could you try and explain to my level what questions the user I the conversation has asked and what the agent has responded with, we can probably go user query by user query to build up”

[ValentineC]

One thing I've repeatedly told people is that chatbots are often the most patient teachers we'll ever get (especially when explaining "stupid" questions) — compared to what we've encountered on StackOverflow or Reddit.

[epolanski]

They lack the empathy to understand where and why you're struggling.

I've given private math lessons and seen students struggle with ai, even though ai gave the right answers.

My intuition is that humans spot xy problems easier when teaching (user ask x but really needs y), whereas llms will oblige writing about x.

[ValentineC]

Ok, that's fair, and I think that AI isn't that useful for people who don't really know what they want to learn or do.

What I had in mind (and found personally useful myself) was being able to ask a chatbot to break something down into simpler and simpler concepts, until my weak fundamentals or lack of formal education could grasp some bit of it.

I'm not sure many humans (or colleagues at a workplace) would have the patience to tolerate the stupid questions I've been asking.

[monk_grilla]

That's an interesting observation. I wonder if simply prompting for that in your personal system prompt might help?

"Be aware of 'xy problems': when the user asks x but really, they need the answer to y to further their understanding. ..."

The models are so capable now I think a lot of these real limitations can be solved by prompting, harnesses or fine-tuning.

[TeMPOraL]

Maybe that's a point in favor of LLMs? "XY problems" are my pet peevee, because nearly universally whenever I see one called out, it's actually the responder not being able to comprehend that the asker may actually just need X.

[ChaitanyaSai]

That's interesting, thanks for sharing. Can you please share a specific example of what you describe? Does the student stop asking why after a while?

[thechao]

I want to be able to take a conversation and ask for subconversations as red pen annotations "on the side". The linear nature of the context tends to frustrate this.

[charcircuit]

There are already browser extensions similar to this.