Aqua Utopia|海の底で記憶を紡ぐ
Today's Document
$LAYYYTER
occasionally subtle
Doug Jones

Cookie Run:Kingdom Official!
NASA
Color Me Curious
d e v o n
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RMH
Keni

shark vs the universe

Game Changer & Make Some Noise
Noah Kahan
taylor price
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@crashing-wavefunction

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dog mathematician: arff (arf and only arf)
People occasionally come and tell me that my baroque mobile software dreams are realizable on jailbroken android. To which I say that if Prometheus had brought us a 120-step process for kindling flames we would not love him nearly so much
If you want to visualize gradient descent in neural networks, imagine minimizing a function that is a 2D surface in 3D space, and then say "billions of dimensions" to yourself.
image i dont recall making

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Today's number is 6,086,555,670,238,378,989,670,371,734,243,169,622,657,830,773,351,885,970,528,324,860,512,791,691,264
This number is the largest known sublime number! But to understand what a sublime number is, we need to know what a perfect number is. A perfect number is a positive integer that is equal to the sum of its positive proper divisors (that is, divisors excluding the number itself). For example, 6 has proper divisors 1, 2, and 3, and
1 + 2 + 3 = 6. The next perfect number is 28, which has proper divisors 1, 2, 4, 7, and 14, and
1 + 2 + 4 + 7 + 14 = 28.
Sublime Numbers
A sublime number is a positive integer which has a perfect number of positive divisors (including itself), and whose positive divisors add up to another perfect number.
12 is an example of a sublime number. It has 6 positive divisors, and 6 is a perfect number:
1, 2, 3, 4, 6, and 12
and the sum of these is a perfect number:
1 + 2 + 3 + 4 + 6 + 12 = 28
As of July 2026, there are only two known sublime numbers, namely 12 and 6,086,555,670,238,378,989,670,371,734,243,169,622,657,830,773,351,885,970,528,324,860,512,791,691,264
Euclid-Euler Theorem
We can show that this number is a sublime number by the Euclid-Euler theorem. It states that a positive integer is an even perfect number if and only if it has the form 2^{p-1}(2^p - 1), where 2^p - 1 is a prime number.
In our case, that huge number has 8128 positive divisors, and
8128 = 2^6 * (2^7 -1),
where 2^7 - 1 is prime. By the Euclid-Euler theorem, 8128 is therefore a perfect number.
Even more remarkably, these 8128 divisors add up to
2^{126} * (2^{127} - 1),
which is the 12th even perfect number because 2^{127} - 1 is the 12th Mersenne prime.
Pretty sublime, huh?
👨🔬 Computer Science Learning Resources
These are a bunch of different resources I've collected over the years on data structures, algorithms and other computer science topics. Some of them I've shared before, but others might be new to you.
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Algorithms, 4th Edition (online content for book)
Crafting Interpreters (book)
Computer Science from the Bottom Up (book)
Dive into Systems (book)
How to Design Programs (book)
How Does a Database Work? | Let's Build a Simple Database
Putting the "You" in CPU
The Algorithms
The Missing Semester of Your CS Education
A lot of them are books, which makes sense because the topic is one that we tend to learn in school. But they're still a good resource to keep reviewing your data structures and algorithms and to learn more about other interesting computer science-y topics such as the way the CPU works and how to build an interpreter for your own scripting language.
Enjoy! 🤓
In a class I taught at Berkeley, I did an experiment where I wrote a simple little program that would let people type either “f” or “d” and would predict which key they were going to push next. It’s actually very easy to write a program that will make the right prediction about 70% of the time. Most people don’t really know how to type randomly. They’ll have too many alternations and so on. There will be all sorts of patterns, so you just have to build some sort of probabilistic model. Even a very crude one will do well. I couldn’t even beat my own program, knowing exactly how it worked. I challenged people to try this and the program was getting between 70% and 80% prediction rates. Then, we found one student that the program predicted exactly 50% of the time. We asked him what his secret was and he responded that he “just used his free will.”
—from Scott Aaronson, via here
Your brain is bad at producing random outputs for basically the same reason that your computer is. Both your brain and your computer exist for the sake of processing information; basically "doing calculations". Whether you realize it or not, our brains are doing a whole lot of really complicated math just to make our bodies work. Most of the time, you really don't want a subset of your computer to just start spitting out random values, because this is going to corrupt your computation. Not to mention, above the scale of the quantum realm, the behavior of matter is mostly deterministic. So your brain would have a hard time producing random bits even if it wanted to.
The way computers get around this, for low stakes implementation, is by deploying some computationally difficult function which is relatively hard to predict. For example, you could probably fool this prediction algorithm if you listed out prime numbers, and pressed "f" whenever the number was 1 greater than a multiple of 4, and otherwise press "d". Your computer usually uses much more complicated algorithms though, for RNG, and in general humans won't be very good at this since we can't crunch numbers all that fast.
Another way computers get around this is by instead using the external world to produce random bits. In a way, the universe itself is kinda like one gigantic computation, and it's by definition the largest and most complicated computation you can interact with. So, you can use features of the world around you to simulate randomness! A classic example is looking at the behavior of lava lamps, or using weather reports. For us humans, you can pick an object you can see, count how many objects of that type are in the room with you, and check if it's even or odd (this works best if there's a lot of them). Or look at what time it is, down to the second, and see if the seconds place is even or odd. If you're trying to be "random", stuff like this is usually your best bet. Even if the specific questions you ask about the world are not themselves random, so long as the answers are suitably hard to predict, then they'll be indistinguishable from random.
ive known for a while that when a desmos graph gets too busy, a visual artifact will appear on the left side of the screen
what i didnt know until recently is that this artifact is named bernard and is apparently a beloved figure in the desmos community
Hehe it’s beautiful isn’t it

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Cross-section visualizer
I made a cross-section visualizer with line laser modules. See more at my Bluesky post:
断面可視化装置が完成!!!!
A square grid in polar (r, φ) coordinates stretches into a curved grid in the xy-plane. Patches farther from the r = 0 line stretch more, while those close to the line can contract. This is exactly what is captured by the Jacobian, and why it appears when one changes variables in a double integral.
the idea that philosophy and mathematics are polar opposites of eachother is so wrong if you have studied both. they are so similar that my maths professor and my philosophy professor argue daily which is a subset of the other. it really is beutiful doing both, it feels like you are applying mathmatical thinking to the world.
this is why famous mathmaticians also did philosophy (eg. descartes)
okay. fine. i have a solution that will make no one happy. let's make pluto a planet. if we launch one tungsten cube per day for 200 years precisely aimed at pluto's surface it will become massive enough to gravitationally clear its orbit of other kuiper belt objects. this will be completely useless and extremely expensive as well as potentially dangerous. and it will destroy the heart

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indie web resources for making your own website! :]
decided to make a little masterpost of all my resources. if you like, follow me on neocities / buy me a coffee!
First Steps
How to create your first website
Common Questions
Common Mistakes
Code Quality Guide
Troubleshooting Guide
Neocities Tips
Beginner Tutorials
How to load the same layout on every page
CSS Positioning/Layout Tutorial
Cachebusting
Custom Font Tutorial
Tools etc.
Layout Generator
Widgets for free Neocities accounts
Cheatsheet
Helpful Sites
Self-study Checklist
Coding Quizzes
Code Snippets
CSS Image Filters
My VSCode Setup
Preview Plugin
List of Cliques
List of Webrings
Webring Script
Advanced Tutorials
Git Tutorial
node/npm tutorial
Webpack Tutorial
Eleventy (11ty) Tutorial
Google Sheets API Tutorial
I know HTML, CSS, and JS. Now what?
Let's reclaim the web together! :)
it's crazy how much the field of computing has been able to do with just semiconductors. imagine what would happen if they managed to get full conductors working. twice as much!