Blog Update

 Now the blog looks a tad bit better, plus Times New Roman font. The background is catwheezie.

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The benefits and downfalls of being a VTuber.

 Yeah, we've seen them everywhere. VTubers are basically those adorable anime waifus that catch true otakus off guard. It's fun, it's a nice experience and even made many a living in general. But what are the benefits and downfalls of this franchise? I've made some up over here. Benefits It allows expression. Of course, VTubers are showing off their flamboyant avatars, but that's the point. When they show their VTuber model, interact with their chat or do activities live, it's a way for the person of the VTuber to express the epitome of their personality. Way way better than be a shut-in, right? Builds a form of entertainment. Let's face it. In real time, you're talking to an anime girl. For some, that might just be quite entertaining and delightful. And that's nice, and it keeps your audience coming back for more. Money We see large text appear on the livestream, that Animeotaku123 donated $6000 dollars or something. That is also a bridge of interac...
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A random post about Pronghorns

 I just learned about pronghorns, basically "American Antelopes". They aren't actually antelopes apparently and are more related to giraffes and okapi (forest giraffe).  In some sources, they are considered the second-fastest land animal, behind cheetahs. The adaptation of a pronghorn might've also been influenced by an extinct species known as the American cheetah. That's odd actually, I never knew they existed.  Even if they're the "second-fastest" land animal, they can sustain their speeds for much longer than a cheetah, possibly being able to outrun such predator. As for the "horns" of the pronghorn, they basically have sheath that cover bony cores. This sheath, however, is shed and regrown every year. In comparison, cows have engrained bones covered in keratin, while deer have antlers made purely of bone that fall off. But oh well, they're basically just adaptations that have grown to outrun extinct predators. But not antelopes, as...
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Facial-recognition bias

 I realize now that one big example of computing bias (or particularly, bias in algorithms) is facial recognition "AI". It's oddly true, but apparently, when training the algorithm, it is given mostly photos of light-skinned men. Odd? Sure, but really, it isn't the algorithm's fault. We are the ones who feed the algorithm inputs, and it's trying to do what it sees as right based on what it's given. And this seems small, but this bias can get worse. It's like a butterfly effect, which the algorithm may try to recognize criminal faces. As a result, people have been wrongly getting arrested, mainly due to misidentification. Some applications of hiring software may also have this dangerous bias and might try to weigh your chances at getting a job based on facial behavior. And the scary part, it can be skewed depending on your race or gender.
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