It is certainly a 'unique' perspective.
Reading very charitably: you can say that at the moment a lot of the AI's advantages seem to come from: (a) having read approximately everything, and (b) being willing and able to try out lots and lots of approaches without tiring or getting bored. You don't need to have superhuman intelligence, yet, when superhuman persistence still yields so much low hanging fruit.
It's not unique. I for one agree. Mathematics is obfuscated because mathematicians prioritize compactness on the page over ease of understanding. This results in confusing notation (single-character variable names, implicit multiplication, implicit parentheses) and large numbers of omitted steps.
If I want to understand some mathematics, my first step is always translating it to code. Modern code (excluding array languages) no longer has a culture of minimizing character count, and omitting "obvious" steps is not possible. LLMs are based on an architecture (transformers) that was originally designed for natural language translation, so it doesn't surprise me that they're good at this.