Scuka1

Scuka1 t1_jedip7z wrote

Which is why I said "nearly identical", not "identical".

Tools wear, but to the naked eye that's not visible. There's also quality control and preventitive maintenance systems in place to make sure that tools don't wear out to the point where they start producing non-functional parts.

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Scuka1 t1_jeayezn wrote

Why do you think it's difficult to make them all nearly identical?

In an automated production line, it's easier to make 100 pieces that are almost identical than 100 pieces that are all visibly different.

Everything is made by machines.

A machine is doing the same motions and using the same tools each time, so the end result is pretty much the same every time.

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Scuka1 t1_jbif0jb wrote

Dude, if you don't have experience in the gym, you don't try testing your max weight.

Anything you do, you start light and slow, and progress gradually.

Pick a weight that you can do for 5-10 reps and train with that. Gradually increase the weight by little increments week by week as you get stronger, but never so much that you can't do at least 4-5 reps. That's called progressive overload, btw. Google it. It's the most important weight training concept.

Once you get comfortable with the exercise, know how to perform it, and know your limits, then you can start poking at your 1-rep-max. Though it's still pretty pointless if you don't compete. I've been training for 10 years and never attempted to lift anything heavier than what I can do for 3-4 reps.

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Scuka1 t1_ja2bgas wrote

>there's more than one way to do math

There are ways that give you more and less accurate results.

If you take a week worth of data and multiply to get a month, you're also multiplying any mistakes or outliers there might be. If you take 3 months worth of data and dividing to get a picture of your average month, you're dividing, i.e. ironing out any outliers. That gives you better predictive power to predict, say, how much money you're going to need in the next 10 months.

Say you eat at home almost every day of the month, but once per month you eat at a fancy restaurant. If you take data from the week you ate at that fancy restaurant and multiply by 4.345, you're going to make it seem like you eat at a restaurant 4 times per month. If you take data from the non fancy restaurant week, your fancy meal won't be captured in the data at all. Either way, you're getting inaccurate monthly data.

Longer time frame = more accurate result in terms of predictive power (e.g. predicting how much money you're going to need over the, say, next 10 months)

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Scuka1 t1_ja1wrdw wrote

There hasn't been more earthquakes recently.

Just because there are more earthquakes being reported in the news doesn't mean there have been more earthquakes.

That's a good life lesson to learn. You shouldn't judge the world by the amount of attention certain events get in the news. News disproportionally report bad and shocking news, so you get the wrong idea that there's nothing but bad things happening in the world if you only go by the news headlines.

Earthquakes happen all the time in certain earthquake-prone areas of the world. There's nothing special about "recently", other than the fact that recently it happened to hit a highly populated area that was ill-prepared to handle that kind of an earthquake, so it became massive world news.

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Scuka1 t1_ja1v0b8 wrote

Ah.

Meh. Only applicable if you have a weekly salary.

All the bills and subscriptions are monthly though, so I don't see much point in a weekly salary either, except 4.345 more paperwork.

For life expenses (fuel, food), the 4.345 thing doesn't make sense either. You get a more accurate result if you actually average out the entire month, instead of averaging out a week and multiplying by 4.345. If you average out, say, 3 months and then divide by 3, you get an even more accurate monthly average.

The longer the time period, the more accurately your average represents the actual situation because outliers get ironed out.

Week is too short for capturing general trends.

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Scuka1 t1_j6nj6rc wrote

Yep.

When I went to music school, we had individual instrument lessons and theory classes. No matter which instrument someone played theory was explained on a keyboard and a keyboard hung in every room, sort of like periodic table of elements in a chemistry classroom or a map in a geography classroom.

Keyboard is very nicely laid out and it's easy to visualize relationships between notes by visualizing the keyboard.

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Scuka1 t1_j6gvhj9 wrote

Hacking in movies is usually portrayed terribly, but not using a mouse actually somewhat accurate.

Many beginner programming courses will start by teaching you how to use the console to navigate Windows as a basic skill that helps your programming efficiency.

Once you get used to the console, and also learn the relevant keyboard shortcuts, certain things can be much faster than using a mouse, especially considering the fact that you're typing code and both your hands are on the keyboard anyway so you might just as well leave them there for other tasks instead of switching your right hand back and forth.

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Scuka1 t1_j6c8732 wrote

Electricity is a fairly recent discovery. When it was discovered and formally described by science, the world was already connected to a decent degree, so as the knowledge of electricity was passed along, so were the units.

On the other hand, physical quantities like distances and weights were measured independently by different cultures basically since the dawn of civilization, so every culture developed their own set of units.

If electricity were discovered by say, ancient Greeks and ancient Chinese, we would most likely have two different sets of units for electricity.

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Scuka1 t1_j693bvz wrote

Seeing how they're burned and have wonky edges, you could use a little practice. Or maybe a better recipe.

I'll just give you mine. I don't know what the differences are because I can't be bothered to convert cups to normal units.

For ~6 crepes:

- 2 eggs

- 300 ml milk

- 130 g flour

- dash of salt and sugar (skip sugar if planning to use savory stuffing)

I don't do butter.

Mix the liquid stuff (eggs and milk), whisk it until you no longer have pieces of yolk, then slowly add flour bit by bit while stirring vigorously to prevent lumps.

Get a non-stick pan, low to medium heat so you don't burn things, put in a few drops of oil or lightly coat it with butter, and use a ladle to pour the batter in (pour in the middle and swirl around to cover the pan). When you pour, make a mental note of whether it was too much or too little, and adjust the next pour accordingly. Batter should fill the entire pan so the edges serve as a perfect circle mold. Remember what's the best amount of batter in your ladle for your pan and always use that amount. If unsure about how long to cook, gently lift the edge occasionally to check for doneness. Should be golden with some light brown patches here and there.

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Scuka1 t1_j5kqk48 wrote

LPT: use driving as an opportunity to get off the phone once in a fuckin while. You don't have to fill every idle moment of your life with phones.

Is someone sends a text, that means they can wait and you don't have to answer right away. If someone calls, use bluetooth.

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Scuka1 t1_j5ipkof wrote

Been doing that for almost 10 years now.

It's true, as a recreational lifter, you only need a few basic compound exercises. No need to bother with all the isolations, 5 exercises per muscle group, and all the other bro bodybuilder BS.

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Scuka1 t1_j5ipghj wrote

Something is better than nothing, but there are limitations to bodyweight exercises.

The big advantage of barbell exercises is the fact that they can be adjusted for each individual, regardless of where they are. From complete beginners to elite athletes, everybody can perform a barbell exercise in a way that's beneficial for them. You can precisely dose the weight you need at that particular moment, which is something that's much more difficult to do on many bodyweight exercises.

But, if you don't have access to a gym, do bodyweight by all means, it's still a great thing to do.

Btw., I believe the OP didn't mean "buck" in the literal sense, as in money.

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Scuka1 t1_j47s2cb wrote

I don't really agree with the term "AI" here, but let's use it for now.

I'll speak for neural networks, and particularly, a method called "supervised learning", i.e. learning where you as a human know the inputs and the desired outputs of the learning data set.

Neural network is just a mathematical model that:

  1. takes in some inputs,
  2. does some math on these inputs, and
  3. spits out an output.

Training the AI is, in simplest possible terms, adjusting the parameters of step 2.

When training the AI, you have a bunch of data where you know the inputs and outputs. Say you want to train the AI to recognize which image has a cat in it. You have a bunch of images, and you, as a human, know which ones are cats, and which aren't. Those images will be used to train the AI.

So, in the process of training you:

  1. Give the AI its input (images of cats; and from the perspective of computer software, an image is just an array of pixels each with a particular color)
  2. .
  3. Give the AI the output, i.e. tell it which images have cats and which don't by giving each image a 0 or 1 value.

Now with known inputs and outputs, the AI tries to figure out the middle step. Similar to how when you've got an equation 3 × X = 6 you try to figure out what X is by asking "what number do I multiply with 3 to get to 6?", the AI tries to figure out "what kind of math do I need to do to a bunch of this pixel data to get to '1'?".

This is done through some mathematical algorithms, essentially by first trying certain parameters and seeing what output it gets it and then iterating with math to get closer to the solution. And through that process, the AI adjusts its own parameters so that, when you give it a bunch of pixels, it can take that pixel data, do math, and the result of that math equals 1 if there's a cat in the image and 0 if there are no cats.

So, in short (and oversimplified), you've got equations:

"image with a cat" × X = 1

"image without a cat" × X = 0

Training is using a bunch of mathematical algorithms on known data to figure out what X is.

Now that the X is known, you can give AI an unknown image so it can do math "X" on it, and figure out on its own whether the image contains a cat.

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Scuka1 t1_j45thhk wrote

If a screw is torqued to 7 in-lbs torque, that means that, if you used a wrench 7 inches long, and pushed with 1 lbs of force at the end of that wrench, you'd achieve that torque.

By tightening with different torque, you're achieving a larger preload on the bolt.

If you look at that picture, the bolt acts like a spring. Bolt head and nut are in fixed position (to simplify), but as you tighten the bolt, the bolt threads "travel" down the nut so the bold stretches just like a spring would. The elastic force of that stretch keeps the two plates together. The tighter you turn the bolt, the more you stretch it, the more preload you get, and ultimately the more clamping force there is.

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