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nbro
nbro
17:22
@Tsundoku Hey! I think this type of question already starts to be off-topic... It's ok to ask for resources about a specific topic, but basically you want someone to give you a guide on what you need to know to follow a specific course (which looks more like a career path recommendation, which is off-topic here), which may become outdated or disappear completely. I think we can discuss this on meta, though, ai.meta.stackexchange.com/questions/ask
We have some questions like "What are the prerequisites to study AI or ML?". These questions are more generally applicable and so they are more acceptable
I think that question you linked to was closed because the user asked a subjective question. "Is it OK if I start the course and learn math as and when required?". Some people will say it's OK to learn as you go and others will think it's better to learn first the prerequisites. So, it also depends on how you phrase a question.
So, one should ideally ask for facts and pose questions in such a way that doesn't just lead to "yes, in my opinion, it's like that"
user56417
user56417
17:44
I asked this question on aistackexchane and got directed here. My question was: I only have a basic knowledge of mathematics and physics and have become interested in doing independent research in the theoretical foundations of AGI.

Through some clicking, the most comprehensive curriculum I found for getting into AGI research is given on the Marcus Hutter's website - http://www.hutter1.net/index.htm but it seems very daunting.

Would you say it would be a good idea to first become proficient in the concepts of current AI? If no, should I just suck it up and jump into Marcus's (or a couple …
 
3 hours later…
nbro
nbro
20:34
@user56417 Hello. I am not an expert in AIXI, which is the theoretical framework developed by Hutter and others, but I have some knowledge of the topic. I'd say that to understand the books he wrote, you really need to know well the math prerequisites, otherwise, it's very difficult to follow and understand anything. Basically, you need to be familiar with concepts like probability theory, probability measures, Turing machines, theory of computation, reinforcement learning and other concepts.
I wrote an answer about AIXI here a few years ago. I'd recommend you read it and then also read this article as a first intro to the topic. If you don't understand anything, I'd recommend that you first study reinforcement learning, theory of computation and probability theory, but there are other concepts involved, like the Kolmogorov complexity.

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