drhead

they are... gin by itself just tastes like plant water though

Do people not already reply then block to get the last word? (genuine question, I do not use twitter, but I know people do this on Reddit a ton)

The only hoop you have to jump through is using a Nitter instance. And the most dangerous abusers are most likely going to be determined enough to where doing this or creating a new account is not a deterrent.

False security is worse than no security. If people trust that the block function is reliable at stopping people from seeing your posts, and then those people post things publicly that they wouldn't share otherwise, that is leaving more people vulnerable than having no way to stop people from seeing your posts.

If we're talking about FTL, might as well mention Multiverse: https://subsetgames.com/forum/viewtopic.php?t=35332

I'm pretty sure this outright has more new content than the base game did.

Case by case is the only reasonable answer.

I don't think there's anyone who would say that Full Metal Alchemist: Brotherhood is bad to watch dubbed, the dub as far as I can tell even has adjustments to preserve wordplay without it being awkward (think of how often "trump card" is used in anime) which is one of the hardest things to do with translation work. There's some where both have merits, like early seasons of Jojo, part 2 was great dubbed but both part 1 and part 2 have tons of memes that are mostly from random English phrases in the original. Later seasons definitely sub only, literally what is the point of watching part 3 without ZA WARUDO? Why is there no Italian dub of Golden Wind? Also there's very special cases like Ghost Stories.

Just something that I feel like I have to remind people of whenever it comes up: mainstream psychology does not recognize porn addiction as a real thing, based on the lack of evidence/lack of consensus to support a consistent diagnostic criteria. The only actually recognized related condition is compulsive sexual behavior disorder, which is not using an addiction model.

I'm quite sure that there has to be at least someone who has problematic pornography use habits which aren't just a symptom of another issue, but without anyone being able to pin down a consistent set of diagnostic criteria, then there's barely any way to identify who those people are separately from people who report it but whose distress is coming from something else. One study done on self-reported pornography addiction found that the strongest predictor was moral objection to pornography, not amount of porn use. Another two studies found that antagonistic narcissism is an even better predictor (might read it when it isn't 3AM). Your analysis is actually touching on this somewhat -- a narcissist's interest in "addressing their pornography addiction" is mostly that they think that it will elevate them above the porn addicts, or whatever other target.

There is a third option you forgot.

One of Ukraine's officials claimed that a Patriot missile took it out.

https://apnews.com/article/russia-ukraine-war-f16-crash-2755b4fd1a5dcf1e95ae975d44427b9b

don't forget the absolutely inexplicable platform-specific bugs:

this is a different attack from the ones people are usually talking about with Assad, that report is about a mustard gas attack (which ISIS has/had access to) and the notable attacks people accuse Assad of perpetrating were sarin gas attacks (which ISIS never had access to afaik)

they'll probably take information representing some aggregation of interactions for a user and make some scoring model that tries to learn from pairs of user data and outcomes (in terms of whether they successfully dated or whatever you do on these apps). 100% marketing bullshit, doing LLM inference for something like this would have costs spiral out of control FAST. But a scoring model is cheap, they have the data to make one, and it isn't really all that innovative either.

You wouldn't download an overclock.

Main difference is that blockchain never had an actual use case (speculation doesn't count) beyond buying heroin and running ransomware. Machine learning had practical applications for years that nobody really thought much of at the time, and the marketers got a hold of it after it was fairly well established without them and right at the point of a massive wave of breakthroughs in the area.

That being said, there is a fucking massive AI bubble. A large portion of the things we're seeing will survive when that pops, but boy are there a lot of very overconfident investors who are going to get burned hard on this.