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  • The part you're missing is the metadata. AI (neural networks, specifically) are trained on the data as well as some sort of contextal metadata related to what they're being trained to do. For example, with reddit posts they would feed things like "this post is popular", "this post was controversial", "this post has many views", etc. in addition to the post text if they wanted an AI that could spit out posts that are likely to do well on reddit.

    Quantity is a concern; you need to reach a threshold of data which is fairly large to have any hope of training an AI well, but there are diminishing returns after a certain point. The more data you feed it the more you have to potentially add metadata that can only be provided by humans. For instance with sentiment analysis you need a human being to sit down and identify various samples of text with different emotional responses, since computers can't really do that automatically.

    Quality is less of a concern. Bad quality data, or data with poorly applied metadata will result in AI with less "accuracy". A few outliers and mistakes here and there won't be too impactful, though. Quality here could be defined by how well your training set of data represents the kind of input you'll be expecting it to work with.

  • The camps are still open, the wall is still being built, and the current administration has deported more people than the previous. The dems in congress keep trying to pass a bill to give the GOP everything they want around border policy in exchange for more funding toward our proxy wars in Israel, Ukraine, and Taiwan.

    At some point I hope people realize that this trolley isn't slowing down.

  • It might offend some overly sensitive Israelis or Zionists but they are not representatives for all Jews.

  • A popular SEO trick around 15 years ago was to put a bunch of search terms in a heading tag near the top of your page markup and just style it to minimize its appearance, because if you completely hid it google would penalize your pagerank score. They test for visibility but it's difficult to do so in a foolproof and futureproof way so there's likely a similar technique still seeing some limited use today.

    It's far less effective or straightforward than the modern prevailing SEO strategy; which is using generative AI that have been trained on all the top-ranked pages to produce exactly what google likes and ranks highly. Which has a knock-on effect of causing all these AIs to start eating themselves by training on pages produced by AI, like a kind of human-centipede ouroboros.

  • I think throwing them in prison would be a far more effective, if you're looking for deterrents. If its good enough for drug dealers and petty criminals, why wouldn't it work for a smaller group of people who have a way more negative impact on society?

  • well it depends on what the half in halfling is. if they're half human already they could be three-quarterslings which doesn't roll off the tounge very well.

  • Is a half halfling a quarterling?

  • The one he(Biden) replaced, who was also record-breakingly unpopular, was Trump. Not sure how you managed to shoehorn Obama into this.

  • how broken does your moral compass need to be to try and outlaw feeding people

  • the next best thing is vaccines so prevalent that covid numbers stop surging and get down to manageable levels.

    Then you should credit Donald Trump for that because he's the guy who expedited the vaccine. He stopped claiming credit for it when his base booed him every time he brought it up. Nevermind that there have been multiple periodic surges since lockdown was ended.

    Bidens presidency started January 2021, unemployment at 6.4%. By the end of the year it was at 3.9%. And it has been steady between 3.5% and 4% ever since.

    This is incredibly disingenuous. It started high because of lockdown and only reached pre-pandemic levels after 2 years. I will not give him credit for something literally anyone sitting in that position, even Trump, would have eventually done. It was not some victory of labor policy, all he did was end lockdown.

    We didn’t meet the US definition. The NBER decides, and they say there wasn’t a recession.

    Barely scraping under some threshold that the US arbitrarily decides is more forgiving for them than the rest of the world is not some huge accomplishment you should be touting. Treating a recession like some binary on/off switch is absurd.

  • The covid restrictions being gone is only better if covid is gone. Unemployment hasn't "stayed low the entire presidency" it was one of the highest it's ever been and only got to this point over the course of two years. If we didn't get enough of a recession to meet your standard for calling it that, we at the very least got close enough to spark a huge national debate in the media about what constitutes a recession.

    As for covid restrictions, you could at least reinstate a mask mandate or hell even just a recommendation, even if only during outbreaks. And I'm not giving him credit for making unemployment the exact same as his predecessor when he didn't do anything for unemployment that wouldn't have happened anyway, under any president.

  • His replacement is (like the one he replaced) one of the most unpopular presidents in modern history, and is actively aiding the genocidal Netanyahu government.

  • Who replaces Netanyahu? The crimes of Israel are not all rooted in one man.

  • He did more than say legally binding things. He signed a contract. That had a clause in it to prevent him from backing out, because the management at Twitter fully expected him to try it. I think he had made several gestures at buying before to try and get some kind of influence over how it was being run, so they drew up the contract to make him put up or shut up.

  • its actually the other way around. Funimation bought Crunchyroll but decided to consolidate under Crunchyroll. then decided to cut people off from the content they paid Funimation for.

  • if it did, they wouldn't be nerds anymore.

  • Yes that is what they are good at. But not as good as a deterministic algorithm that can do the same thing. You use machine learning when the problem is too complex to solve deterministically, and an approximate result is acceptable.