alt Hacker NewsArguably it is succeeding on this front - LLMs have been much more helpful for learning about mathematics topics than Wikipedia for a while now. Admittedly a somewhat low bar, but they are genuinely helpful. In many other fields the models can still only pull up equal (in my opinion).
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It's the 'can answer arbitrary questions' part for me.
You could give me the most well crafted, comprehensive document ever and I would still misread bits of it, or miss some crucial bit of information that contextualises the rest or whatever.
With LLMs I can ask endless dumb questions in a way that just would not be practical otherwise. The quality of the responses doesn't even have to be particularly good for it to be extremely useful - it's basically a turbo charged rubber duck for learning new concepts.
Agreed. An always-on agent focused solely on improving your knowledge/skills could ask you questions daily, build a picture of the gaps in your understanding and learn where to push you next.
I'm experimenting with this at https://miletus.app
I'm also curious about training models with that singular goal. If anyone is exploring similar ideas, I'd love to chat.