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# Exercises # Exercises
Here there should be some exercises for those wishing to pursue [LRS](lrs.md) in any way. Here there should be some exercises such as programming projects, math problems or quizes for those wishing to pursue [LRS](lrs.md) in any way.
## Programming Challenges ## Programming Challenges
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## Quiz/Questions/Problems/Test ## Quiz/Questions/Problems/Test
Here are some questions to test your LRS related knowledge :D Here are some questions to test your LRS related knowledge :D Questions here are of varying difficulty, areas and may potentially have even multiple solutions, just like in [real life](irl.md).
1. What's the difference between *[free software](free_software.md)* and *[open source](open_source.md)*? 1. What's the difference between *[free software](free_software.md)* and *[open source](open_source.md)*?
2. Use numbers 1, 3, 4 and 6, each exactly once, with any of the basic arithmetic operations (addition, subtraction, multiplication, division) and brackets to get the result 24. 2. Use numbers 1, 3, 4 and 6, each exactly once, with any of the basic arithmetic operations (addition, subtraction, multiplication, division) and brackets to get the result 24.
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20. Give at least one example of [analog](analog.md) electronic device and one of [digital](digital.md) mechanical device. 20. Give at least one example of [analog](analog.md) electronic device and one of [digital](digital.md) mechanical device.
21. Transitive [relation](relation.md) is such that if element *A* is in relation with *B* and *B* is in relation with *C*, then also *A* is in relation with *C*. Give one real life example of transitive relation and one real life example of relation that is NOT transitive. 21. Transitive [relation](relation.md) is such that if element *A* is in relation with *B* and *B* is in relation with *C*, then also *A* is in relation with *C*. Give one real life example of transitive relation and one real life example of relation that is NOT transitive.
22. Is physical violence ever justified? 22. Is physical violence ever justified?
23. Find a normalized (having length 1) [normal](normal.md) ([vector](vector.md) that's perpendicular to surface) of the [triangle](triangle.md) defined by vertices *A = {1,2,3}*, *B = {5,5,1}* and *C = {1,5,2}*. (Orientation doesn't matter.) 23. Find a normalized (having length 1) [normal](normal.md) ([vector](vector.md) that's perpendicular to surface) of the [triangle](triangle.md) defined by vertices *A = {1,2,3}*, *B = {5,5,1}* and *C = {1,5,2}*. (Orientation doesn't matter. Geometric, not [sexual](gay.md).)
24. Why will (in a typical programming language such as C) an infinite [recursion](recursion.md) crash the program but infinite loop generally won't? 24. Why will (in a typical programming language such as C) an infinite [recursion](recursion.md) crash the program but infinite loop generally won't?
25. Answer yes/no to following: Is base-three number 2101 greater than base-seven number 206? Is using [gemini](gemini.md) a good idea when [gopher](gopher.md) exists? Is there any [triangle](triangle.md) (in Euclidean geometry) whose one side is longer than the sum of lengths of its other two sides? 25. Answer yes/no to following: Is base-three number 2101 greater than base-seven number 206? Is using [gemini](gemini.md) a good idea when [gopher](gopher.md) exists? Is there any [triangle](triangle.md) (in Euclidean geometry) whose one side is longer than the sum of lengths of its other two sides?
26. There are two walls 2 meters apart, the right wall is moving left by the speed 0.1 m/s, the left wall is moving right by the same speed 0.1 m/s. There is a fly in the middle between the walls, flying by speed 1 m/s. It is flying towards one wall, then when it reaches it it turns around and flies towards the other wall etc. When the walls completely close in, what distance would the fly have traveled? (There is a simple solution.) 26. There are two walls 2 meters apart, the right wall is moving left by the speed 0.1 m/s, the left wall is moving right by the same speed 0.1 m/s. There is a fly in the middle between the walls, flying by speed 1 m/s. It is flying towards one wall, then when it reaches it it turns around and flies towards the other wall etc. When the walls completely close in, what distance would the fly have traveled? (There is a simple solution.)
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29. In 3D computer [graphics](graphics.md) what's the difference between [shading](shading.md) and drawing [shadows](shadow.md)? 29. In 3D computer [graphics](graphics.md) what's the difference between [shading](shading.md) and drawing [shadows](shadow.md)?
30. Can we say that the traditional feed forward [neural networks](neural_network.md) are [Turing complete](turing_complete.md)? Explain why or why not. 30. Can we say that the traditional feed forward [neural networks](neural_network.md) are [Turing complete](turing_complete.md)? Explain why or why not.
31. Wicw mx uum yvfe bbt uhmtf ok? 31. Wicw mx uum yvfe bbt uhmtf ok?
32. What is the *Big O* time [complexity](complexity.md) of worst case scenario for [binary search](binary_search.md)? 32. 8 bit binary value 10000101 will be interpreted as number 133 under unsigned, direct representation, but what number will it represent in [two's complement](twos_complement.md) representation?
33. Does the statement "10 does not equal 10" logically [imply](implication.md) that intelligent alien life exists? 33. What is the *Big O* time [complexity](complexity.md) of worst case scenario for [binary search](binary_search.md)?
34. Consider a function *f(x) = sqrt(1 - x^2)* with *x* belonging to <-1,1>. Convert it to [polar coordinates](polar_coordinates.md), i.e. write function *g(angle)* that for given *angle* (in [radians](radian.md)) returns distance from origin and specify for which values of *angle* the function is defined. 34. Does the statement "10 does not equal 10" logically [imply](implication.md) that intelligent alien life exists?
35. What is the principle of [asymmetric cryptography](asymmetric_cryptography.md) and why is it called *asymmetric*? 35. Consider a function *f(x) = sqrt(1 - x^2)* with *x* belonging to <-1,1>. Convert it to [polar coordinates](polar_coordinates.md), i.e. write function *g(angle)* that for given *angle* (in [radians](radian.md)) returns distance from origin and specify for which values of *angle* the function is defined.
36. What is the main reason for [Earth](earth.md) having seasons (summer, winter, ...)? 36. What is the principle of [asymmetric cryptography](asymmetric_cryptography.md) and why is it called *asymmetric*?
37. Name at least three [x86](x86.md) [assembly](assembly.md) instructions and shortly explain what they do. 37. What is the main reason for [Earth](earth.md) having seasons (summer, winter, ...)?
38. Point out what's highly unusual or uncommon about this paragraph. That is find a quality of this paragraph that you wouldn't normally think to find if you took a random paragraph from, say, a random book in your library, or in similar work. It's not that difficult. 38. Name at least three [x86](x86.md) [assembly](assembly.md) instructions and shortly explain what they do.
39. WARNING: VERY HARD. There are two integers, both greater than 1 and smaller than 100. *P* knows their product, *S* knows their sum. They have this conversation: *P* says: I don't know the numbers. *S* says: I know you don't, I don't know them either. *P* says: now I know them. *S* says: now I know them too. What are the numbers? To solve this you are allowed to use a programming language, pen and paper etc. { Holy shit this took me like a whole day. ~drummyfish } 39. Point out what's highly unusual or uncommon about this paragraph. That is find a quality of this paragraph that you wouldn't normally think to find if you took a random paragraph from, say, a random book in your library, or in similar work. It's not that difficult.
40. Compare advantages and disadvantages of [hash](hash.md) tables vs binary [trees](tree.md) for storing text strings, especially in regards to searching the string database. 40. WARNING: VERY HARD. There are two integers, both greater than 1 and smaller than 100. *P* knows their product, *S* knows their sum. They have this conversation: *P* says: I don't know the numbers. *S* says: I know you don't, I don't know them either. *P* says: now I know them. *S* says: now I know them too. What are the numbers? To solve this you are allowed to use a programming language, pen and paper etc. { Holy shit this took me like a whole day. ~drummyfish }
41. A woman gave birth to two sons in the span of a single hour, i.e. they are of the same age, but they aren't twins. Hows is this possible? 41. Compare advantages and disadvantages of [hash](hash.md) tables vs binary [trees](tree.md) for storing text strings, especially in regards to searching the string database.
42. Name at least two TCP/IP or OSI [network](network.md) layers: about each shortly explain its purpose, addressing and at least one protocol of this layer. 42. A woman gave birth to two sons in the span of a single hour, i.e. they are of the same age, but they aren't twins. How is this possible?
43. Did you enjoy this quiz? 43. Name at least two TCP/IP or OSI [network](network.md) layers: about each shortly explain its purpose, addressing and at least one protocol of this layer.
44. We know [HTTPS](https.md) is shit because it's [encrypted](encryption.md) and requires [certificates](certificate.md). Explain what these certificates are, why HTTPS needs them, how their absence could be "abused" and who issues them.
45. Did you enjoy this quiz?
### Answers ### Answers
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29. Shading is the process of computing surface color of 3D objects, typically depending on the object's material and done by GPU programs called [shaders](shader.md); shading involves for example applying textures, normal mapping and mainly lighting -- though it can make pixels lighter and darker, e.g. depending on surface normal, it only applies local models of light, i.e. doesn't compute true shadows cast by other objects. On the other hand computing shadows uses some method that works with the scene as a whole to compute true shadowing of objects by other objects. 29. Shading is the process of computing surface color of 3D objects, typically depending on the object's material and done by GPU programs called [shaders](shader.md); shading involves for example applying textures, normal mapping and mainly lighting -- though it can make pixels lighter and darker, e.g. depending on surface normal, it only applies local models of light, i.e. doesn't compute true shadows cast by other objects. On the other hand computing shadows uses some method that works with the scene as a whole to compute true shadowing of objects by other objects.
30. We can't really talk about Turing completeness of plain neural networks, they cannot be Turing complete because they just transform fixed length input into fixed length output -- a Turing complete model of computation must be able to operate with arbitrarily large input and output. In theory we can replace any neural network with logic circuit or even just plain lookup table. Significance of neural networks doesn't lie in their computational power but rather in their efficiency, i.e. a relatively small and simple neural network may replace what would otherwise be an enormously large and complicated circuit. 30. We can't really talk about Turing completeness of plain neural networks, they cannot be Turing complete because they just transform fixed length input into fixed length output -- a Turing complete model of computation must be able to operate with arbitrarily large input and output. In theory we can replace any neural network with logic circuit or even just plain lookup table. Significance of neural networks doesn't lie in their computational power but rather in their efficiency, i.e. a relatively small and simple neural network may replace what would otherwise be an enormously large and complicated circuit.
31. two (or txq); The cipher offsets each letter by its position. 31. two (or txq); The cipher offsets each letter by its position.
32. *log2(n)*; Binary search works by splitting the data in half, then moving inside the half which contains the searched item, recursively splitting that one in half again and so on -- for this the algorithm will perform at worst as many steps as how many times we can divide the data in halves which is what base 2 logarithm tells us. 32. The number will be negative because the highest (leftmost) bit is 1; to convert a negative number to positive (and vice versa) in two's complement we flip all bits and add 1, i.e. 10000101 -> 01111010 + 1 -> 01111011 which is 123; the original value therefore represents -123.
33. Yes, a false statement implies anything. 33. *log2(n)*; Binary search works by splitting the data in half, then moving inside the half which contains the searched item, recursively splitting that one in half again and so on -- for this the algorithm will perform at worst as many steps as how many times we can divide the data in halves which is what base 2 logarithm tells us.
34. The function plot is a half circle, so expression in polar coordinates is quite simple: *g(alpha) = 1*, *alpha* belongs to interval <0, pi>. 34. Yes, a false statement implies anything.
35. The main difference against symmetric cryptography is we have two keys instead of one, one (private) for encrypting and one (public) for decrypting -- neither key can be used for the other task. Therefore encryption and decryption processes differ greatly (while in symmetric cryptography it's essentially the same, using the same key, just in reversed way), the problem looks different in one direction that the other, hence it is called *asymmetric*. 35. The function plot is a half circle, so expression in polar coordinates is quite simple: *g(alpha) = 1*, *alpha* belongs to interval <0, pi>.
36. It's not the distance from the Sun (the distance doesn't change that much and it also wouldn't explain why opposite hemispheres have opposite seasons) but the tilted Earth axis -- the tilt changes the maximum height to which the Sun rises above any specific spot and so the angle under which it shines on the that spot; the [cosine](cos.md) of this angle says how much energy the place gets from the Sun (similarly to how we use cosine to determine how much light is reflected off of a surface in [shaders](shader.md)). 36. The main difference against symmetric cryptography is we have two keys instead of one, one (private) for encrypting and one (public) for decrypting -- neither key can be used for the other task. Therefore encryption and decryption processes differ greatly (while in symmetric cryptography it's essentially the same, using the same key, just in reversed way), the problem looks different in one direction that the other, hence it is called *asymmetric*.
37. For example: MOV (moves values between memory locations or registers), JNE (jump if not equal, jumps to another instruction if comparison resulted in non-equality), ADD (adds values in memory or registers), CMP (compares two values and sets the flags register), RET (returns from procedure, pops return address and jumps there) etc. 37. It's not the distance from the Sun (the distance doesn't change that much and it also wouldn't explain why opposite hemispheres have opposite seasons) but the tilted Earth axis -- the tilt changes the maximum height to which the Sun rises above any specific spot and so the angle under which it shines on the that spot; the [cosine](cos.md) of this angle says how much energy the place gets from the Sun (similarly to how we use cosine to determine how much light is reflected off of a surface in [shaders](shader.md)).
38. There is no letter "e", one of the most common letters in English and other languages -- this is very unlikely to happen by chance. 38. For example: MOV (moves values between memory locations or registers), JNE (jump if not equal, jumps to another instruction if comparison resulted in non-equality), ADD (adds values in memory or registers), CMP (compares two values and sets the flags register), RET (returns from procedure, pops return address and jumps there) etc.
39. 4 and 13, solution: make a table, columns are first integer, rows are second (remember, both *P* and *S* can be making their own table like this too). Cross out whole bottom triangle (symmetric values). *P* doesn't know the numbers, so cross out all combinations of two primes (he would know such numbers as they have only a unique product). *S* knew *P* didn't know the numbers, so the sum also mustn't be a sum of two primes (if the sum could be written as a prime plus prime, *S* couldn't have known that *P* didn't know the numbers, the numbers may have been those two primes and *P* would have known them). This means you can cross out all such numbers -- these are all bottom-left-to-top-right diagonals that go through at least one already crossed out number (combination of primes), as these diagonal have constant sum. Now *P* has a table like this with relatively few numbers left -- if he now leaves in only the numbers that make the product he knows, he'll very likely be left with only one combination of numbers -- there are still many combinations like this, but only the situation when the numbers are set to be 4 and 13 allows *S* to also deduce the numbers after *P* declares he knows the numbers -- this is because *S* knows the combination lies on one specific constant-sum diagonal and 4-13 lie on the only diagonal that in this situation has a unique product within the reduced table. So with some other combinations *P* could deduce the numbers too, but only with 4-13 *S* can finally say he knows them too. 39. There is no letter "e", one of the most common letters in English and other languages -- this is very unlikely to happen by chance.
40. Hash table will only allow efficient searching of exact matches while binary tree will also allow efficient searching e.g. for all strings starting with some prefix. On the other hand hash table may be faster, in ideal case searching for the match in constant time, but this will depend on the quality of implementation (hash function, number of hash bits, ...), in worst case hash table can degenerate to a mere list. Binary trees will generally be a bit slower, with logarithmic time, but here we'll also have to ensure good implementation, especially balancing the tree -- badly implemented tree may also degenerate to a list. 40. 4 and 13, solution: make a table, columns are first integer, rows are second (remember, both *P* and *S* can be making their own table like this too). Cross out whole bottom triangle (symmetric values). *P* doesn't know the numbers, so cross out all combinations of two primes (he would know such numbers as they have only a unique product). *S* knew *P* didn't know the numbers, so the sum also mustn't be a sum of two primes (if the sum could be written as a prime plus prime, *S* couldn't have known that *P* didn't know the numbers, the numbers may have been those two primes and *P* would have known them). This means you can cross out all such numbers -- these are all bottom-left-to-top-right diagonals that go through at least one already crossed out number (combination of primes), as these diagonal have constant sum. Now *P* has a table like this with relatively few numbers left -- if he now leaves in only the numbers that make the product he knows, he'll very likely be left with only one combination of numbers -- there are still many combinations like this, but only the situation when the numbers are set to be 4 and 13 allows *S* to also deduce the numbers after *P* declares he knows the numbers -- this is because *S* knows the combination lies on one specific constant-sum diagonal and 4-13 lie on the only diagonal that in this situation has a unique product within the reduced table. So with some other combinations *P* could deduce the numbers too, but only with 4-13 *S* can finally say he knows them too.
41. They are two of triplets (or quadruplets, ...). 41. Hash table will only allow efficient searching of exact matches while binary tree will also allow efficient searching e.g. for all strings starting with some prefix. On the other hand hash table may be faster, in ideal case searching for the match in constant time, but this will depend on the quality of implementation (hash function, number of hash bits, ...), in worst case hash table can degenerate to a mere list. Binary trees will generally be a bit slower, with logarithmic time, but here we'll also have to ensure good implementation, especially balancing the tree -- badly implemented tree may also degenerate to a list.
42. For example: application layer (highest level layer, concerned with applications communicating with each other, addressing by ports, protocols: HTTP, Gopher, FTP, DNS, SSH, ...), transport layer (middle level layer, concerned with delivering data over a potentially unreliable channel, implements establishment of connection, handshakes, reliable delivery, delivering in correct order etc., protocols: TCP, UDP, ...), network layer (below transport layer, concerned with delivering packets over a network, implements routing, forwarding etc., addressing by IP addresses, i.e. numerical machine addresses, protocols: IPv4, IPv6, ...), OSI physical layer (lowest level layer, concerned with sending bits between two directly connected devices, works with frequencies, electronic circuits etc., no addressing, protocols: ethernet, USB, Bluetooth, ...), ... 42. They are two of triplets (or quadruplets, ...).
43. yes 43. For example: application layer (highest level layer, concerned with applications communicating with each other, addressing by ports, protocols: HTTP, Gopher, FTP, DNS, SSH, ...), transport layer (middle level layer, concerned with delivering data over a potentially unreliable channel, implements establishment of connection, handshakes, reliable delivery, delivering in correct order etc., protocols: TCP, UDP, ...), network layer (below transport layer, concerned with delivering packets over a network, implements routing, forwarding etc., addressing by IP addresses, i.e. numerical machine addresses, protocols: IPv4, IPv6, ...), OSI physical layer (lowest level layer, concerned with sending bits between two directly connected devices, works with frequencies, electronic circuits etc., no addressing, protocols: ethernet, USB, Bluetooth, ...), ...
44. Certificate is a file that contains the domain's public key (needed to communicate using asymmetric cryptography) that is [digitally signed](digital_signature.md) by some "trusted authority", a business that declares itself to be trusted and lets itself be paid for cryptographically confirming that public keys belong to specific servers. Without certificates a [man in the middle](man_in_the_middle.md) "attack" could be performed in which a middle man could sneakily swap a public key that's being transmitted for his own public key which would then allow him to listen to the unencrypted communication.
45. yes
## Other ## Other

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- He will oppose [defeatism](defeatism.md), [cynicism](cynicism.md), pessimism etc. - He will oppose [defeatism](defeatism.md), [cynicism](cynicism.md), pessimism etc.
- He will think that [pedophilia](pedophilia.md) is bad and that pedophiles should be killed or at least "treated". - He will think that [pedophilia](pedophilia.md) is bad and that pedophiles should be killed or at least "treated".
- He will be an [egoist](egoism.md), putting effort into looking certain way, getting [tattoos](tattoo.md), adopting some "style" or "[identity](identity_politics.md)". - He will be an [egoist](egoism.md), putting effort into looking certain way, getting [tattoos](tattoo.md), adopting some "style" or "[identity](identity_politics.md)".
- He will support good causes but for wrong reasons, for example "I'll help you because then next time you'll help me" (calculated decision based on self interest, not [selfless](selflessness.md) help) or "we shouldn't kill animals and eat them because it's not healthy and it contributes to destroying the planet" (again, calculated decision based on benefit of self and economic arguments, the only correct reason for not killing an animal is that it's a living being capable of feeling suffering). This matters because though at this moment his goals are aligned with our, tomorrow they may not be because he simply follows different interests and only by circumstance happened to momentarily go in the same direction as us.
- ... - ...
A true LRS supporter mustn't fail at any of the above given points. A true LRS supporter mustn't fail at any of the above given points.

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Human language is language used mostly by [humans](human.md) to communicate with each other; these languages are very hard to handle by [computers](computer.md) (only quite recently [neural network](neural_net.md) computer programs became able to show true understanding of human language). They are studies by [linguists](linguistics.md). Human languages are most commonly **natural languages**, i.e. ones that evolved naturally over many centuries such as [English](english.md), [Chinese](chinese.md), French or [Latin](latin.md), but there also exist a great number of so called **[constructed languages](conlang.md)** (*conlangs*), i.e. artificially made ones such as [Esperanto](esperanto.md), Interslavic or [Lojban](lojban.md). But all of these are still human languages, different from e.g. [computer languages](computer_language.md) such [C](c.md) or [XML](xml.md). Natural human languages practically always show significant irregularities (exceptions to general rules) while constructed languages typically try to eliminate irregularities as much as possible so as to make them easier to learn, but even a constructed human language is still extremely difficult for a computer to understand. Human language is language used mostly by [humans](human.md) to communicate with each other; these languages are very hard to handle by [computers](computer.md) (only quite recently [neural network](neural_net.md) computer programs became able to show true understanding of human language). They are studies by [linguists](linguistics.md). Human languages are most commonly **natural languages**, i.e. ones that evolved naturally over many centuries such as [English](english.md), [Chinese](chinese.md), French or [Latin](latin.md), but there also exist a great number of so called **[constructed languages](conlang.md)** (*conlangs*), i.e. artificially made ones such as [Esperanto](esperanto.md), Interslavic or [Lojban](lojban.md). But all of these are still human languages, different from e.g. [computer languages](computer_language.md) such [C](c.md) or [XML](xml.md). Natural human languages practically always show significant irregularities (exceptions to general rules) while constructed languages typically try to eliminate irregularities as much as possible so as to make them easier to learn, but even a constructed human language is still extremely difficult for a computer to understand.
Human language is a social construct so according to [pseudoleftists](pseudoleft.md) it's an illusion, doesn't exist, doesn't work and has no significance.
**Why are human languages so hard for computers to handle?** Well, firstly there are minor annoyances like syntactic ambiguity, irregularities, redundancy, complex rules of grammar -- for example the sentence "I know Bob likes computers, and so does John." can either mean that John knows that Bob likes computers or that both Bob and John like computers. Things like this can be addressed by designing the [grammar](grammar.md) unambiguously, but analyzing already existing natural languages suffers by this. Furthermore in real life there are countless quirks of playing with language, things like sacrasm, parody, exaggerations, indirect hints, politeness, rhetorical questions, fau pax, memes and references. For example when we think of imperative, we imagine sentences such as "Close the window." -- in real life we'll rather say something like "I'm cold, it wouldn't hurt to close the window.", i.e. something that's semantically an imperative but not syntactically, a dumb computer would deduce here we are stating a fact that closing the window will not hurt anyone; it takes human-like intelligence AND experience in how the real life works and abilities like being able to guess feelings and plans of others to correctly conclude this sentence in fact means "Please close the window." Just try to talk to someone for a while and focus on what the sentences mean literally and what they actually imply. So things revolving around this are pose the first issue, but yet a greater issue dwells in how to actually define meanings of words -- human language is not just "text strings" as it might seem on the first glance, behind the text strings lies a deep understanding of the extremely complex [real world](irl.md). More details of the issues of semantic will be given below. **Why are human languages so hard for computers to handle?** Well, firstly there are minor annoyances like syntactic ambiguity, irregularities, redundancy, complex rules of grammar -- for example the sentence "I know Bob likes computers, and so does John." can either mean that John knows that Bob likes computers or that both Bob and John like computers. Things like this can be addressed by designing the [grammar](grammar.md) unambiguously, but analyzing already existing natural languages suffers by this. Furthermore in real life there are countless quirks of playing with language, things like sacrasm, parody, exaggerations, indirect hints, politeness, rhetorical questions, fau pax, memes and references. For example when we think of imperative, we imagine sentences such as "Close the window." -- in real life we'll rather say something like "I'm cold, it wouldn't hurt to close the window.", i.e. something that's semantically an imperative but not syntactically, a dumb computer would deduce here we are stating a fact that closing the window will not hurt anyone; it takes human-like intelligence AND experience in how the real life works and abilities like being able to guess feelings and plans of others to correctly conclude this sentence in fact means "Please close the window." Just try to talk to someone for a while and focus on what the sentences mean literally and what they actually imply. So things revolving around this are pose the first issue, but yet a greater issue dwells in how to actually define meanings of words -- human language is not just "text strings" as it might seem on the first glance, behind the text strings lies a deep understanding of the extremely complex [real world](irl.md). More details of the issues of semantic will be given below.
**What is the most [LRS](lrs.md) human language?** This is not [settled](settled.md) yet but [Esparanto](esperanto.md) looks pretty cool. [English](english.md) is actually one of the most [suckless](suckless.md) languages, it's extremely easy and everyone speaks it -- it's not perfect but it is like [C](c.md) in programming, likely the best things we probably have at the moment. As a part of [less retarded society](less_retarded_society.md) we should aim to create a constructed language that will be universally spoken by everyone and which, if at all possible, will solve the issue of the great language curse described below. **What is the most [LRS](lrs.md) human language?** This is not [settled](settled.md) yet but [Esparanto](esperanto.md) looks pretty cool. [English](english.md) is actually one of the most [suckless](suckless.md) languages, it's extremely easy and everyone speaks it -- it's not perfect but it is like [C](c.md) in programming, likely the best things we probably have at the moment. As a part of [less retarded society](less_retarded_society.md) we should aim to create a constructed language that will be universally spoken by everyone and which, if at all possible, will solve the issue of the great language curse described below.

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@ -18,9 +18,10 @@ On this wiki we kind of use LMAO as a synonym to [LULZ](lulz.md) as used on Ency
- In 2022 a proprietary "[smart](smart.md) home" company Insteon got into financial trouble, shut down its servers and left people without functioning houses. - In 2022 a proprietary "[smart](smart.md) home" company Insteon got into financial trouble, shut down its servers and left people without functioning houses.
- In the 1985 book *Big Score: The Billion-Dollar Story: The Billion-Dollar Story of Silicon Valley* there is a nice chapter talking about the manufacturing of integrated chips that explains how the process is (or at least used to be) very unpredictable and how it's basically astrology for the managers to try to predict and maximize the yield rates (the percentage of manufactured chips that function correctly). There were companies whose research showed the number of good chips correlated with the phases of the Moon, another one found that chips were destroyed by tiny droplets of piss on the hands of workers who didn't wash their hands and that [women](woman.md) workers during menstruation destroyed more chips because of the increased amount of oil secreted from their hands. - In the 1985 book *Big Score: The Billion-Dollar Story: The Billion-Dollar Story of Silicon Valley* there is a nice chapter talking about the manufacturing of integrated chips that explains how the process is (or at least used to be) very unpredictable and how it's basically astrology for the managers to try to predict and maximize the yield rates (the percentage of manufactured chips that function correctly). There were companies whose research showed the number of good chips correlated with the phases of the Moon, another one found that chips were destroyed by tiny droplets of piss on the hands of workers who didn't wash their hands and that [women](woman.md) workers during menstruation destroyed more chips because of the increased amount of oil secreted from their hands.
- In 2018 Hungary banned [gender studies](gender_studies.md) as ideology that has nothing in common with science :D - In 2018 Hungary banned [gender studies](gender_studies.md) as ideology that has nothing in common with science :D
- The unexpected assassination of Lord British in Ultima Online in 1997 was pretty funny. - The unexpected assassination of Lord British in Ultima Online in 1997 was pretty funny. Tldr.: basically the "CEO" of the game, a kind of God, logged into the game and went on to give some speech or something in front of a crowd but forgot to turn on the god mode, someone casted a fire spell on him for the lulz and killed him, then chaos and lulz indeed ensued.
- [Elizabeth Holmes](elizabeth_holmes.md) - [Elizabeth Holmes](elizabeth_holmes.md)
- In 2019 a [progaming](progaming.md) ("esports") organization Vaevictis tried to make an all-[female](woman.md) League of Legends team, which would be the first such team in the high progaming league. The team quickly failed, it can't even be described how badly they played, of course they didn't even had a hope of gaining a single win, they gained several world records for their failures such as the fastest loss (13 minutes), eventually they got fired from the league xD - In 2019 a [progaming](progaming.md) ("esports") organization Vaevictis tried to make an all-[female](woman.md) League of Legends team, which would be the first such team in the high progaming league. The team quickly failed, it can't even be described how badly they played, of course they didn't even had a hope of gaining a single win, they gained several world records for their failures such as the fastest loss (13 minutes), eventually they got fired from the league xD
- On March 4 2006 in [World of Warcraft](wow.md) the Alliance guild *Serenity Now* raided a funeral held by Horde players for a guild member that died [in real life](irl.md), nuking the whole ceremony and shitting on their social rituals -- we give this a thumbs up. Though Alliance are usually the lame players, this was one of the best things that was ever done in the game, it made normies literally cry and scream because for some reason it triggered something in their brain. Also WTF do you expect when you're making a funeral in a PvP zone, that was quite retarded.
- In 2022 a bug in [SMART](smart.md) Mazda cars forced their "owners" to listen to some shitty public radio without being able to change the station. TFW "modern" bloattech made by diversity teams. - In 2022 a bug in [SMART](smart.md) Mazda cars forced their "owners" to listen to some shitty public radio without being able to change the station. TFW "modern" bloattech made by diversity teams.
- { At my uni a professor told us some guy turned in an assignment program but forgot to remove the debug prints. The fun part was he was using prints such as "my dick is X cm long" where X was the debug value. So beware of that. ~drummyfish } - { At my uni a professor told us some guy turned in an assignment program but forgot to remove the debug prints. The fun part was he was using prints such as "my dick is X cm long" where X was the debug value. So beware of that. ~drummyfish }
- { Some time in May 2023 I've seen a guy try to upload a "2D game sprite" to [opengameart](opengameart.md) but accidentally uploading a screenshot of him asking ChatGPT how to make a game in Python lol. ~drummyfish } - { Some time in May 2023 I've seen a guy try to upload a "2D game sprite" to [opengameart](opengameart.md) but accidentally uploading a screenshot of him asking ChatGPT how to make a game in Python lol. ~drummyfish }

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@ -3,9 +3,9 @@
This is an autogenerated article holding stats about this wiki. This is an autogenerated article holding stats about this wiki.
- number of articles: 577 - number of articles: 577
- number of commits: 778 - number of commits: 780
- total size of all texts in bytes: 3688661 - total size of all texts in bytes: 3689720
- total number of lines of article texts: 28420 - total number of lines of article texts: 28424
- number of script lines: 262 - number of script lines: 262
- occurences of the word "person": 8 - occurences of the word "person": 8
- occurences of the word "nigger": 73 - occurences of the word "nigger": 73
@ -15,7 +15,7 @@ longest articles:
- [c_tutorial](c_tutorial.md): 124K - [c_tutorial](c_tutorial.md): 124K
- [capitalism](capitalism.md): 68K - [capitalism](capitalism.md): 68K
- [how_to](how_to.md): 68K - [how_to](how_to.md): 68K
- [exercises](exercises.md): 56K - [exercises](exercises.md): 60K
- [chess](chess.md): 56K - [chess](chess.md): 56K
- [less_retarded_society](less_retarded_society.md): 52K - [less_retarded_society](less_retarded_society.md): 52K
- [number](number.md): 52K - [number](number.md): 52K
@ -35,11 +35,11 @@ longest articles:
top 50 5+ letter words: top 50 5+ letter words:
- which (2107) - which (2108)
- there (1601) - there (1601)
- people (1388) - people (1388)
- other (1153) - other (1153)
- example (1120) - example (1122)
- software (1043) - software (1043)
- number (1011) - number (1011)
- about (959) - about (959)
@ -51,12 +51,12 @@ top 50 5+ letter words:
- would (719) - would (719)
- language (712) - language (712)
- being (694) - being (694)
- simple (690) - simple (691)
- things (680) - things (680)
- numbers (678) - numbers (678)
- without (641) - without (641)
- function (636)
- programming (633) - programming (633)
- function (632)
- something (629) - something (629)
- these (598) - these (598)
- however (597) - however (597)
@ -89,6 +89,14 @@ top 50 5+ letter words:
latest changes: latest changes:
``` ```
Date: Wed Apr 24 21:09:47 2024 +0200
ancap.md
exercises.md
furry.md
Date: Wed Apr 24 16:16:59 2024 +0200
random_page.md
wiki_pages.md
wiki_stats.md
Date: Wed Apr 24 16:12:06 2024 +0200 Date: Wed Apr 24 16:12:06 2024 +0200
drummyfish.md drummyfish.md
nationalism.md nationalism.md
@ -108,17 +116,6 @@ Date: Wed Apr 24 15:10:32 2024 +0200
political_correctness.md political_correctness.md
random_page.md random_page.md
trolling.md trolling.md
wiki_pages.md
wiki_stats.md
wikipedia.md
Date: Tue Apr 23 19:46:54 2024 +0200
bytebeat.md
cancer.md
exercises.md
jesus.md
random_page.md
wiki_pages.md
wiki_stats.md
``` ```
most wanted pages: most wanted pages: