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Totally agree. 2/3 is wild, especially given it seems like you could mitigate most of the risk just by removing vowels from the dictionary.


Literally just cancelled mine today a couple of hours before reading this. It's great for music discovery but when already paying for YouTube premium which includes YouTube Music, which although has a much worse UX ultimately has the same content. Even if I wasn't getting music with the YouTube subscription when I added up the 50 odd tracks I regularly listen to on playlists and divided that by the cost of a yearly subscription, the economics make no sense.


Personally, I find YT Music's UX much better than Spotify's. Especially when I'm listening to something and browsing for something to add as the next track.


Totally fair. To many people discovery is the feature that the like most about Spotify. If that doesn’t interest you, you’re well off on YouTube.


One domain where this concept of handling ambiguous left and right in natural language is generative image AI models like StableDiffusion. What I wouldn't give for a clear syntax to define what I mean when I say "left side" or "to the right" in a way that captures a character or object which may be rotated in any number of positions. Running 100 generations with the same prompt and different seeds demonstrates how hard this is to solve using words.


Don't read anything into this, but can you see the next step here if you replace "men" with "black men"? Is this actually the point you want to make?


I don't see how that changes anything except to make the analogy politically fraught and easier to derail. The logic remains the same. Certainly, conservatives have no problem with the logic if you modify the analogy as you have suggested.


My only point that as with anything (and especially with crime statistics), "it's just not that simple" and nuance matters, in the sense that (in the modified analogy), to say at least some systemic racism doesn't exist in the way the prison stats play out seems naive at best, it seems similarly naive to assume there's no bias in this case as well.


> My only point that as with anything (and especially with crime statistics), "it's just not that simple" and nuance matters,

If this is actually your point then you are supporting root's argument, not rebutting it. Root was pointing out poor causal relationships determined from lack of recognition of confounding variables. You just listed another (substantially more famous) example of such a relationship.


Obviously nothing is "just that simple", if that's your only point so be it, but that isn't telling us much since this is true of literally everything.


That was such a bad faith argument/read that I don't even know where to begin.


Not if the antibot product is checking canvas and gpu render hashes. If you present a random hash instead of a well-known hash for an iPhone or flagship Android handset, that generally registers as a red flag.


Good community called Scraping Enthusiasts on this topic here: https://discord.gg/4fGEPZzs Plus curated list of research papers here if you want to go deep on the subject matter: https://github.com/prescience-data/dark-knowledge


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