I didn't say the number of universes changes, so I don't know what you're commenting about

Interesting point about "most". I see how it works if you only consider a finite subset of integers (e.g. ratio restricted to < N), but is "most" still well defined if you consider the entire infinite sets together?

Physics isn't my expertise, so my understanding is surely off in some ways. My thinking was that we all exist in an uncollapsed superposition, but conscious observation is always with respect to a collapsed state. E.g. Each universe is a manifestation of a possible state in the overall multiverse superposition. You're saying though that the superpositions are never reduced, so would that mean no universe can be observed individually, only as a collective multiverse?

I admit it's not really a direct commentary on Many Worlds, but I do think the screenwriters began with the premise: "What kind of conflicts would characters encounter when facing a multiverse somewhat related to that of quantum mechanics?" Comparing to Dr Strange, they seem to have spent a lot more effort to inject philosophical comments and maintain a somewhat consistent ontology. I think Joy's and Waymond's character arcs only work when you include the metaphysical backdrop. They setup an initial conflict that nobody has free will, our universe is just a random possibility. Joy has lost her purpose in life from this fact and looks for Evalyn to try and convince her otherwise. Waymond's kindness speech to me was the revelation that the characters could still exert free will and "choose kindness" in every universe.

In any case, it got me thinking about metaphysics a bit more, so I'll take that as my personal interpretation of the film, even if it was only intended as a screwball film about family relationships.

I wrote this a bit ago, but decided to post it today as some might find it interesting, especially for those who have watched the movie recently. In the article, I'm analyzing what kind of theory of mind makes sense for the film, and similar discussions on free will and the multiverse. It is mostly informal, so should be a quick read.

No. All the energy intensive computations occur on dedicated hardware like GPU/TPU. These run a compiled instruction set that would not benefit from using a different language frontend. You have to tackle energy efficiency at the hardware level, and in this respect, the number of flops/watt has steadily gone up over the years. The ML tasks always grow to fill the extra computational efficiency though. At this point, progress in ML is the fruit of increased energy efficiency, not energy cost.

You have 100 data scientists who all have a degree, career experience, maybe a few cool projects under their belt. If you can only pick three of them, why not pick the ones that can solve a problem faster and show a little more skill in coding? Tough, but if there's a lot of competition for a job, that's just how it goes. Also you said you were also allowed to use the documentation, which I think is pretty reasonable, so you don't have to have the entire API memorized.

Recruitment platforms tend to favor generalists, as a lot of contracts are one-off and require you to do everything yourself. Also they might get one NLP job every couple months compared to 50 more traditional data science, so having someone who only specializes in NLP is not great for them.

Well, it is the top 3%. Out of 100 candidates, 3 of them are able to find a solution, do it quickly, and don't need to search the web to figure out how to do things. I understand it seems unrealistic, but just think about it competing for 3 spots out of a 100... I'd say they're justified in nitpicking, since 97% of data scientists are going to be just like you. Seems like the only thing you need to pass is some practice looking things up in the NumPy/Pandas/etc documentation, instead of relying as much on stackoverflow or plain web searching? Honestly, I know this sounds harsh, but I'd be a little worried if a candidate couldn't figure out how to filter NaNs without searching the web.