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Cake day: September 3rd, 2024

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  • A little late on this, but this is essentially true. Technically you can buy a plan on the marketplace, but they… kinda suck. The cheapest plan I could get from my state marketplace as a single person household is about $315 a month with a $9000 deductible, and God only knows how many places actually accept it. The available plans and reductions are also very dependent on where you live. The ones available through office jobs are generally cheaper with better coverage and lower deductibles, but anything other than a white collar job will give you absolutely bare bones options if anything at all.

    Most places I’ve worked have two plans based on how much you want to pay, but they are offered by the same company so no competition there. The last big contender is Medicaid, which can give pretty good coverage without having to pay a deductible or copay (most of the time). However, there’s monthly income requirements based on which state you live in. Some go as high as $3000/month, some as low as $235 a month.

    So that’s pretty much it as far a options go. There’s a whole mess of other vouchers and programs and individual practice discounts that you may or may not have available, but that’s even more dependent on what’s available in your area.

    Having worked in Healthcare insurance, I can tell you it’s an absolute mess and no one really knows what’s going on. The whole thing is a rats nest of ever changing policies and algorithms arguing with each other while the humans try to keep up. It’s basically impossible to “call around” as some suggest to figure out how much any given procedure will cost at any given practice with any given insurance, because there’s a high chance that nobody knows until you actually run it.

    Also, while looking stuff up for this, I found out that anyone living in a Medicaid funded nursing home is required to give almost all their income to the state to pay for it. Of the roughly $3000 limit, you are allowed to keep at most $200 a month, with most states limiting it to something under $100. So that’s fun.




  • The most compelling case I’ve seen for keeping them is to protect against exploitation and commodification. For example, there’s a long history of AAVE/BVE words and phrases that have been considered vulgar and uneducated until co-opted by white communities. “Woke” is a particularly topical example: A word meant to evoke unity and self-awareness in the black community has been co-opted by (mostly) white conservatives to rally against progressive and inclusive policies. Reclaiming the n-word means using its taboo nature as a shield, saying “this is our word, and you can’t have it.” You can’t go on the campaign trail and complain about n*ggers, but you also can’t forget where it came from and what it meant. It’s a living word that carries its history forward into the modern age so we don’t forget the crimes of the past.

    I’ve likewise seen use of the f-slur as a rebellion against rainbow capitalism. Companies will take pride flags and symbols and words and sell them on t-shirts and use them in commercials. These are things that were all made with intention and symbolism by the queer* community and flown in the face of danger, but companies really don’t give a shit about that because well-meaning people will give them their money to support a cause. Come July first, though, do you see them selling that merch, donating to LGBTQ+ causes, or supporting their queer employees? Of course not, if anything that all gets thrown under the bus for whatever financial issue the company is having. The f-slur is again saying “this is our word, and you can’t have it.” It’s often used jokingly or even affectionately by the queer community, but you’re not going to see it printed on a mass produced shirt or said in an ad. It belongs to them and them only, maintaining the history of its creation and reclamation without being diluted by commodification.

    It’s also important to remember that the words have not lost their sting for many people, especially those who still often hear it said with malice towards the targeted group. We should acknowledge they they are not at a point where they cannot hear the word without those strong, negative feelings, and we can do so by respecting requests not to use it in certain spaces and calling out others who are not as sensitive.

    • As a side note, “queer” is a slur that is slowly working its way back into common parlance. It may be that these other slurs go that way eventually, though it’ll take longer for some of the more severe ones.

  • The road to mitigating climate change and pollution will be filled with small inconveniences. In the grand scheme of things, is it really that big of a deal to spend a few cents on bags that are much more likely to end up properly disposed of to reduce the outsized amount of plastic bag litter and energy/oil spent on creating said bags?







  • I mean, we’ve seen already that AI companies are forced to be reactive when people exploit loopholes in their models or some unexpected behavior occurs. Not that they aren’t smart people, but these things are very hard to predict, and hard to fix once they go wrong.

    Also, what do you mean by synthetic data? If it’s made by AI, that’s how collapse happens.

    The problem with curated data is that you have to, well, curate it, and that’s hard to do at scale. No longer do we have a few decades’ worth of unpoisoned data to work with; the only way to guarantee training data isn’t from its own model is to make it yourself




  • At least in this case, we can be pretty confident that there’s no higher function going on. It’s true that AI models are a bit of a black box that can’t really be examined to understand why exactly they produce the results they do, but they are still just a finite amount of data. The black box doesn’t “think” any more than a river decides its course, though the eventual state of both is hard to predict or control. In the case of model collapse, we know exactly what’s going on: the AI is repeating and amplifying the little mistakes it’s made with each new generation. There’s no mystery about that part, it’s just that we lack the ability to directly tune those mistakes out of the model.