For dipping your toes into a new topic I think it’s perfectly fine. It helps to provide useful pointers for further “research” (in a sense that would meet your requirement) and also manages to provide mostly accurate overviews. But sure, to really dive into this, LLMs like ChatGPT and co. are just some low-level assistants at best and one should go through the material themselves.
Perplexity does a good job as LLM-search-engine-combo.
I suppose you’re referring to the article I’ve linked. As I see it: If an increasing amount of applications world are running with Python, then energy and time consumption are important aspects. Not only cost wise but especially since we’re grilling our planet. Therefore, comparing with more efficient languages is indeed meaningful.
Python sucks.
Not only is it extremely inefficient, it is also a pain in the ass to work with if you have to use APIs that heavily rely on dynamic type wrapping and don’t provide stubs. Static analysis via Pylance is not possible then and you’re basically poking around in the dark, increasing the difficulty enourmously to get to know such an API. Even worse if there isn’t even a halfway decent documentation.
Life has no inherent meaning. It doesn’t need one. That doesn’t make it pointless either. These judgments are human constructs, not qualities of life itself.
But if someone needs a meaning in life:
The meaning of life is to give your life meaning.
Find it yourself. What feels important to you? What makes you unhappy? What makes you happy?
I tend to be on the empathetic side. I feel a lot of pain and desperation about the state of the world, and the way we humans treat one another so cruelly. That’s why I am trying to find my own way to contribute, so that life, for us and those who follow, becomes permanently better.