NyxWulf · HackerTrans

9 giorni fadiscuss

After having used LLMs for some time now, I don't agree with the concept they are just token generators, unless you think that's all humans are too. The way we test in most schools is just picking the right token. We also give them unique problems that they never saw in their training, which is the nature of programming. I realize they are probabilistic token generator models, but I find it harder and harder to accept that somehow there isn't something more going on. I'm not sure whether they are intelligent or not, but for the most part token generation is how you get degrees too. The thing is a parrot just says things it has already heard, it doesn't perform complex reasoning on novel situations and then explain it succinctly.

NyxWulf

mese scorsodiscuss

This is an interesting knot, the thing with knots though, you have to spend enough time with them to get familiar with tying them blindfolded from memory. My experience is most people don't care enough to do it.

So I have a simple alternative to tying my shoes that you can teach and learn easily. Knots are all about the number of turns or wraps, so when tying your shoes instead of crossing the laces over once, do it twice. When you wrap around the loop, do that twice too. You may have to try it to understand, but it is easy and readily understandable to anyone who can already tie their shoes. The best part is the way you tighten it down and untie are are exactly the same as you have always done. It almost never comes untied, but still releases easily.

NyxWulf

3 anni fadiscuss

When I was taking physics at the University 20 years ago, one of my professors said that the closest we have ever come to predicting an asteroid impact was "whoa that was close" as it zipped by.

Sounds like that's still state of the art.

NyxWulf

3 anni fadiscuss

My maternal grandfather changed his last name when he turned 18, from the German Uhren to Uhrey. If your last name bothers you, fix it.

NyxWulf

7 anni fadiscuss

I was picturing villain with an implied evil laughter.

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