• 4 Posts
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Joined 2 years ago
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Cake day: June 10th, 2023

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  • This is a commonly repeated myth but it isn’t true. Nobody gets a tax write off in point-of-sale fundraising. Charities ask stores to do it because it’s one of the most efficient and effective ways for a charity to raise money. Chairty events are costly, and asking people on the street gets a lot of rejection. Stores agree to do it because they get to run ads saying they helped raise millions for charity and the charity will usually shout them out as well.







  • My understanding is that “China” is special because they’re a founding member of the UN and have special powers due to that. After the civil war, neither Taiwan or China wanted to lose that power, so neither side wanted to be recognized as anything other than “China”. I’ve heard that the younger generation in Taiwan are more open to being recognized as Taiwan but China has kind of made that impossible now by threatening any country that doesn’t respect the “one China” policy.








  • I don’t think there’s any moment that truly blows your mind. It’s a very slow burn. I found every run I learned something new that made me want to revisit old rooms and search out new ones. It definitely helps to take notes which is also fun in its own way.

    Sometimes solving a puzzle just gives you some lore but that was also neat too. There’s one note I found that stuck with me regarding following traditions. It doesn’t have anything to do with the game but it was great writing!


  • why don’t they program them

    AI models aren’t programmed traditionally. They’re generated by machine learning. Essentially the model is given test prompts and then given a rating on its answer. The model’s calculations will be adjusted so that its answer to the test prompt will be closer to the expected answer. You repeat this a few billion times with a few billion prompts and you will have generated a model that scores very high on all test prompts.

    Then someone asks it how many R’s are in strawberry and it gets the wrong answer. The only way to fix this is to add that as a test prompt and redo the machine learning process which takes an enormous amount of time and computational power each time it’s done, only for people to once again quickly find some kind of prompt it doesn’t answer well.

    There are already AI models that play chess incredibly well. Using machine learning to solve a complexe problem isn’t the issue. It’s trying to get one model to be good at absolutely everything.





  • Reminds me of the classic Always Be Closing speech from Glengarry Glen Ross

    As you all know, first prize is a Cadillac Eldorado. Anyone want to see second prize? Second prize’s a set of steak knives. Third prize is a set of steak knives. Fourth prize is a set of steak knives. Fifth prize is a set of steak knives. Sixth prize is a set of steak knives. Seventh prize is a set of steak knives. Eighth prize is a set of steak knives. Ninth prize is a set of steak knives. Tenth prize is a set of steak knives. Eleventh prize is a set of steak knives. Twelfth prize is a set of steak knives.