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Joined 2 years ago
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Cake day: March 12th, 2024

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  • This is a messy but interesting question to sort my thoughts on. First, I did date a non-binary person for a couple years and ended things on good terms. I’m AMAB, they’re AFAB on testosterone. I’ll admit I felt a little weird as their transition took effect over time with thicker leg hair and a peach fuzz mustache.

    Second, I’ve considered myself a sex-positive asexual person since I learned the term, so I’m not certain I should be answering this. I’ve always been confused when someone is called hot, but I like the mental/emotional intimacy and physical touch of sex. I’ve come to realize recently that I’d probably be okay being intimate with a woman or feminine partner with a dick, but since I would like to have kids some day it wouldn’t really work for a romantic relationship.

    Third, that partner has half-jokingly said that you have to be a little gay to date them, so I don’t know that any person that would date a non-binary person can call themself 100% straight, which means technically nobody should be answering this question at all :P








  • “Why are data centers bad for the environment?”

    Computer servers use a lot of electricity when they run. I believe most data centers are focused on data storage and retrieval, which means there are upswings and downswings in their usage as demand to access that data increases and wanes, so it’s not always running at 100% power consumption. My understanding is that AI data centers are primarily used for training new models, which means they are nearly always running at or near 100% to maximize training.

    Not only does this consume a lot of electricity from the grid to run, but a significant byproduct of servers running is heat, requiring strong cooling systems for the data center, which ironically uses even more electricity. I think they use a lot of water cooling to achieve this cooling as well since water is good at absorbing, moving, then dissipating heat. I’ve read comments that this makes the water difficult to reuse, but I don’t know why that would be the case.

    In short, they use a lot of electricity to generate heat that then needs even more electricity and water to manage.

    “Wouldn’t this cause American ai innovation to slow down?”

    Sure, this could cause the base level processing power available for training to taper off, but I think that would actually breed more innovation in making better training methods that use that power more efficiently. I recall a lot of early Chinese models being just as good for end users as American models despite being trained on less processing power. That sounds innovative to me.

    I would liken it to video game optimization. When gaming tech was weaker it was more necessary to optimize games to run on the limited hardware. Modern gaming consoles have enough processing overhead to achieve the same thing that developers can get away with less optimization, which ironically can lead to worse performing games than when that overhead was missing.



  • Well let’s get some data involved then. According to this article from mid last year, The Late Show was averaging ~2.5 million viewers in the Nielsen ratings: https://www.tvinsider.com/1202434/late-night-ratings-2025-gutfeld-kimmel-colbert-fallon/

    Looking through the youtube channel, the average uploaded video over the last couple weeks has ~600,000 views. The biggest one scrolling down was almost 2 weeks ago with 2.5 million views as of now. Of course it’s not all one to one, but assuming no crossover between youtube and TV viewers, this interview would have to hit at least 3-3.5 million views to be more popular than the average segment, and higher than 5 million views to absolutely guarantee that it is more popular than an already popular segment.

    At time of writing the interview has 2.3 million views after 16 hours, almost matching the TV audience for an episode, matching an 11 day popular video, and I’m about to add one more to the count which I normally wouldn’t. You can hold your belief if you want, but I am curious to see how it pans out over the next week or two.



  • I’m sorry, but I don’t follow how their comment on Kamala Harris losing displays a lack of understanding on voting between two candidates.

    My understanding is that in such an elections people either vote for one, the other, or abstain. They vote for one over the other because they either like the one enough or dislike the other enough. They abstain when they don’t feel strongly about either. Does that sound right to you?

    My understanding of what the person you responded to said is essentially that people didn’t like Biden because of his policy and were on track to abstain because they didn’t dislike (or weren’t worried about) Trump enough. Harris wrongly thought people disliked Biden personally but did like his policy, so stayed that course. That led to people not liking her and therefore abstaining while Trump riled up his base that for some reason liked him.

    What am I missing here?


  • I totally agree, but I think it’s a question of how to go about achieving that overhaul. I think the best method for that right now is to “hijack” the primaries of one of the political parties, get the old guard out, and nominate new candidates that want to see that reform. I don’t see that happening with the Republican party for hopefully obvious reasons, which just leaves the Democrats.

    All the while leading up to midterms, get organized outside the party system, stage protests and strikes advocating for changes to the system. And if it’s clear the midterms are rigged, or the newly elected Democrats fail to push reform, use those same external organizations to tear it all down and probably write a new Constitution (something I didn’t think I’d be advocating for two years ago).

    But right now, the most important thing is getting involved in getting organized and getting involved in the primaries. Here’s a list of dates I found: https://www.nbcnews.com/politics/2026-primary-elections/calendar