#computer science general knowledge

[broadcastgk]

20 Basic Computer Knowledge Questions Answers

Basic computer knowledge is very crucial in the present time. It is one of the most important sections in almost every competitive exam or online test. We have arranged the basic computer questions that will help you to test your fundamentals. After taking this quiz, you will definitely increase your skills and knowledge about computer systems and its working.

Who is known as the father of computer?

See the Answer

If you are interested to increase your skill visit on my channel annd see knowledgeable videos

[thewinastudyblog]

some advice i have for future computer science students

as soon as you learn data structures & complexity, run, don’t just walk, RUN to leetcode while the knowledge is still fresh in your mind. your entire career and whether you’ll get a well-paying job vs an average paying job depends on how good you are at leetcode.

build as many projects as you can, and i’m not talking tutorial projects that take a few hours, i’m talking big projects. working on a project for a month or two will get you really far.

if you don’t have an internship, do not waste your summers, learn new technologies, languages, concepts and build projects you can put in your cv.

try to participate in hackathons and coding competitions. it’s okay if you fail, but you’ll learn a lot.

learn how to read documentation. most tutorials don’t even cover a quarter of what a language, framework or software has to offer. the sooner you make reading documentation a habit, the better it is. and yes i know, documentation is long and hard to read. my advice is only read the sections that are relevant to you in the moment. something i also personally do is look at the code examples at the same time as i am reading the paragraphs, it really helps easily absorb the information.

try not to use chatgpt. and if you do, then at least use it for stuff you know you can do yourself and will be able to correct if the bot gets it wrong. using chatgpt is a very slippery slope and the more you use it the less you learn.

the math is important. math teaches you how to reason and how to develop better logical thinking. just because you don’t see yourself using the xyz theorem you’ve learnt anytime in the future doesn’t mean the math is useless.

be prepared to get comfortable with erros, issues, bugs and just problems in general. you’ll be coding 30% of the time and debugging 70% of the time (i’m exaggerating but sometimes it feels like this is the case lol), and that’s okay, it’s how we learn and the sooner you embrace it the better. if you’re someone who easily gets frustrated, then this is a heads up.

learn as you go. there is no such thing as waiting until you know everything before you start on a project. the only way and the best way to learn in this field is practice, so build, build, and build.

these are all the ones i could think of for now. feel free to comment your thoughts and questions <3

[kimyoonmiauthor]

Why Spell Check (and some grammar check) isn't AI

So I've seen in the wake of Nanowrimo some people claim that spell check is AI and thus is like Gen AI, and I saw the claim originator on Twitter, but when I pressed them, they basically tried to say they had a degree in computer science, so when I pressed into them if they knew what they were talking about, they couldn't answer because obviously don't know about AI.

For some background I've done some light programming (If you look at the Korean name generator, that's all me). And I also have relatives that did programming.

Here, I can lay out how spell check works without AI or a fancy algorithm.

The oldest spellchecks didn't use AI or Gen AI, they used what is your basic corresponding tables.

If you use something like google sheets (database), you can do this pretty quickly yourself though with a lot of manpower.

Here is a list of commonly misspelled words.

Add that with another table with how they are commonly misspelled.

Then you need a table with "common typos"

Then you need one more table for "Words the user adds."

The algorithm is basically this: Set up a loop. A loop is a mechanism that has an algorithm (or set of instructions in it) which repeats until a certain instruction is met. This loop with this algorithm will check for words. In this case, anything with letters, usually encompassing ' and - (though some programs ignore dashes).

So[,][ ]it[ ]will[ ]look[ ]at[ ]letters[ ]in[ ]this[ ]sentence[ ]and[ ]figure[ ]out[ ]if[ ]it[ ]is[ ]spelled[ ]correctly.

The first loop in the previous sentence will look at the word "so" by selecting everything it knows to be a letter in English. Tada "S, o" Then correspond that to the dictionary. So shows up in the dictionary listing it has of English words. Thanks Webster. (If you're British, the OED)

The Algorithm concludes the word is spelled correctly. No more work needs to be done on So. The next word is it "i, t" correspond that to the dictionary and so on.

If you have a "bad word" for example "alot" then the work is, word is spelled incorrectly. Next "work to be done" is to find out if this word is in the "commonly misspelled" words list. If yes, then underline the word in red to get it corrected.

AKA run Algorithm to underline word (usually a few lines of code if you're doing it the old way).

Then the algorithm moves on. The function of right click/Cntrl click is saying, OK, this word, "alot" is it commonly misspelled? Here are a list of corrections according to this other table. This is the work that needs to be done: We need a popup table. We need to pull from the database this misspelling, and then we need to pull from this other database and pull corresponding correct spellings based on this. Then you set up an if-then If the user clicks on this word, change highlighted word.

This is your basic spelling algorithm. You do not need gen AI for this or AI.

Grammar works similarly. You need a table, the type of speech it is (n, v, adv, adj) and then to load in "rules" one should use. You do not need AI. You need some basic programming skills. On the table of somewhere between "Hello, world" (1) and "OMG, I created artificial intelligence like Data " (10) My "Korean name generator" is like 2.5? in difficulty (minus all of the language and cultural knowledge). Haha. Still mocking myself. But a Spellcheck is not far from that. it is like 3. You could build one fairly easily with PHP and database access to a dictionary and misspelled words with corrections.

But Google pulled from the Enron Emails.

In this case, you can sorta fuzzy logic it and create bigger algorithms, mostly to sort out the *grammar* and *New words* that were used that aren't already in the database, which basically is another loop, but with an add to database function. (i.e. table). Then you would correspond this with another loop to look at "odd grammar" and flag it.

You can use AI to sort it faster than a basic algorithm, but nope, you do not need AI to correspond it. A basic algorithm would do. You can also use AI for "words that look similar to this one" and "Words commonly used in place of this one"

But overall, You do not need AI for a grammar check. You only need a dictionary, a set of commonly held rules of English and exceptions (maybe some Noam Chomsky, though he's controversial), and then some programming skill to get past the hurdle.

But Grammar check could use AI

AI as it stands is basically a large algorithm to match large datasets to the words you use. But the problem is that the datasets are taken from users who did not volunteer to put in that information.

It is not Data on Enterprise have novel experiences of every day and learning how to function in the human world by processing it through a matrix of quantum computing.

So WHEN grammar check does use AI, the AI is mostly doing the crunching of the corresponding the information into a more neat table option, as I understand it. It is not the same thing as Gen AI or your average spell check and Microsoft algorithm from say 2000.

Those are not equal things. Instead, adding Gen AI to say, Microsoft Word, is more like stealing your words for the machine (which BTW, Microsoft absolutely did and you need to transfer out to Anti-AI programs/Apps.) and corresponding them for Gen AI future use for people who can't write worth a damn, and then "averaging" it out. Elew. Who wants to write to the average? That's anti-Creative.

And just because it uses an Algorithm, doesn't automatically use AI.

Look, I can write a algorithm now:

Loop: If you want to be strong...

Go outside.

Do cardio.

Go lift weights.

Make sure you eat a healthy diet and balanced which includes reducing refined sugars and do not eat bad fats.

That equally is a set of instructions, but that's not automatically AI.

I programmed my calculator to spit out the quadratic formula. And this isn't even officially programming, this is a script. Dudes, if you're going to call that AI, then you need help with learning computer programming.

The threshold for making AI v spellcheck is a lot, lot higher programming than a set of simple tables and a loop that looks for letters and spaces corresponding it to an existing dictionary. If that's you're threshold for AI, then when you type words, you are caught in an algorithm. Ooooooo... OMG, when you pull up a dictionary to spellcheck yourself, that's AI. C'mon. The threshold is a might higher to make AI or "victim of algorithm" as in Twitter.

So anytime someone says, "All Spellcheck uses genAI/AI" Laugh in their faces and say no. 'cause like, I'm a terrible programmer, and even I'm like, Meh, not that hard to set up spell check, give me a solid dictionary database and I'll do ya.

That said, A human will beat AI on grammar anytime and will be able to sort weird spellings faster and A-OK, or not.

[dreamdolldeveloper]

back to basics

mostly free resources to help you learn the basics that i've gathered for myself so far that i think are cool

everyday

gcfglobal - about the internet, online safety and for kids, life skills like applying for jobs, career planning, resume writing, online learning, today's skills like 3d printing, photoshop, smartphone basics, microsoft office apps, and mac friendly. they have core skills like reading, math, science, language learning - some topics are sparse so hopefully they keep adding things on. great site to start off on learning.

handsonbanking - learn about finances. after highschool, credit, banking, investing, money management, debt, goal setting, loans, cars, small businesses, military, insurance, retirement, etc.

bbc - learning for all ages. primary to adult. arts, history, science, math, reading, english, french, all the way to functional and vocational skills for adults as well, great site!

education.ket - workplace essential skills

general education

mathsgenie - GCSE revision, grade 1-9, math stages 1-14, provides more resources! completely free.

khan academy - pre-k to college, life skills, test prep (sats, mcat, etc), get ready courses, AP, partner courses like NASA, etc. so much more!

aleks - k-12 + higher ed learning program. adapts to each student.

biology4kids - learn biology

cosmos4kids - learn astronomy basics

chem4kids - learn chemistry

physics4kids - learn physics

numbernut - math basics (arithmetic, fractions and decimals, roots and exponents, prealgebra)

education.ket - primary to adult. includes highschool equivalent test prep, the core skills. they have a free resource library and they sell workbooks. they have one on work-life essentials (high demand career sectors + soft skills)

youtube channels

the organic chemistry tutor

khanacademy

crashcourse

tabletclassmath

2minmaths

kevinmathscience

professor leonard

greenemath

mathantics

3blue1brown

literacy

readworks - reading comprehension, build background knowledge, grow your vocabulary, strengthen strategic reading

chompchomp - grammar knowledge

tutors

not the "free resource" part of this post but sometimes we forget we can be tutored especially as an adult. just because we don't have formal education does not mean we can't get 1:1 teaching! please do you research and don't be afraid to try out different tutors. and remember you're not dumb just because someone's teaching style doesn't match up with your learning style.

cambridge coaching - medical school, mba and business, law school, graduate, college academics, high school and college process, middle school and high school admissions

preply - language tutoring. affordable!

revolutionprep - math, science, english, history, computer science (ap, html/css, java, python c++), foreign languages (german, korean, french, italian, spanish, japanese, chinese, esl)

varsity tutors - k-5 subjects, ap, test prep, languages, math, science & engineering, coding, homeschool, college essays, essay editing, etc

chegg - biology, business, engineering/computer science, math, homework help, textbook support, rent and buying books

learn to be - k-12 subjects

for languages

lingq - app. created by steve kaufmann, a polygot (fluent in 20+ languages) an amazing language learning platform that compiles content in 20+ languages like podcasts, graded readers, story times, vlogs, radio, books, the feature to put in your own books! immersion, comprehensible input.

flexiclasses - option to study abroad, resources to learn, mandarin, cantonese, japanese, vietnamese, korean, italian, russian, taiwanese hokkien, shanghainese.

fluentin3months - bootcamp, consultation available, languages: spanish, french, korean, german, chinese, japanese, russian, italian.

fluenz - spanish immersion both online and in person - intensive.

pimsleur - not tutoring** online learning using apps and their method. up to 50 languages, free trial available.

incase time has passed since i last posted this, check on the original post (not the reblogs) to see if i updated link or added new resources. i think i want to add laguage resources at some point too but until then, happy learning!!

[callme-naomi]

You Mess with Her, You Mess with Me

Your daughter had just joined sixth grade, and it meant even more studies and wild experiences. While it wasn't that much of a hassle for her initially, being the studying kid, her father instructed her to let him know immediately should she face any trouble.

At that time, none of you suspected anything should go wrong.

One day, she came back home nearly in tears, and she refused to talk about it on the way back, letting the energetic younger brother do the talking. Once safely back home and in your arms, she told you about the event that happened today.

The sciences teacher was absent, so a substitute had taken over for the day. He decided to hold a quiz contest between the girls and the boys, and the topic was 'general knowledge'. When it started, he asked questions about cricket, football, computers - to sum up, all questions boys could answer.

And when the girls lost the competition, the prize for the boys was announced - that they could humiliate the girls any way they want, publicly, for the rest of the lesson, and the girls cannot retaliate.

And when the girls protested, the teacher merely shrugged, saying he doesn't care even if they complained to the headmaster.

Your daughter, who had tried her best to win, was also insulted by the boys, who called her with horrible nicknames and humiliated her on her appearance. A few of the girls had begun crying, seeing nobody could save them and the boys were all laughing at them.

While at first she was crying in your arms, apologizing for not winning, your heart breaking every time a sob escaped her, you told her not to tell Papa yet.

You thought he was already too tired from his daily overtime working, so worrying him on something like this made no sense, especially when the real teacher will return tomorrow, and this was something you could handle. But you did instruct her on telling you if it happened again.

So that evening, no complaint was registered to Kento, and the next morning you went and had a word with the headmaster, who assured you this won't happen again.

But the next week, the same teacher was given to them, the same game was played, and the results and the winning prize was repeated.

When she came back home, that day you decided to tell Kento and ask if you should have a word again.

So on the dinner table, after your son went off to play with his friends, you and your daughter sat beside him, his eyebrow raised at the serious expression on both faces.

"Did something happen at school, sweetheart?" he clocked what had happened immediately.

She nodded, and told him all about it. All the while you watched, Kento's dinner long forgotten, his attention totally focused on his little girl, silence ensued, but you did not fail to notice the fisted hands, knuckles growing whiter and whiter as his face showed more of his anger.

Once she was done, you asked him, "should I have it complained again?"

Very slowly, he turned to you, and in a quiet voice he said, "you've talked about this before?"

You nodded.

"And still, it happened again?" Clenching his fists together, he sighed. "Why didn't you tell me about this before?"

"I thought I'd handle it," you mumbled, not sure of your answer anymore.

"No. You won't talk to them tomorrow." He set his elbows on the table. "I will."

You two watched stunned at his angry face. In all your years with him, you'd seen him annoyed, not enraged.

But if there was something Kento Nanami would not tolerate, it was his loved ones getting humiliated. Especially his princess.

And for the first time ever, you heard him swear. Not the usual 'shit', but a grander one. "That [curse word] needs to be taught a lesson. And I'll take care of it."

And then he turned to his daughter, holding her hand. "If anything like that happens again, you will let me know. Clear?"

She nodded.

And the next day, everyone watched as your daughter was followed by her father, in his suit, giving the look of someone calm and composed.

And calm and composed he was all the time, as he had 'a word' with the headmaster, and then the teacher in question separately.

So of course, everyone was surprised as to why that teacher was fired, and why did that teacher have a slap mark on his face.

What nobody knew was that teacher had messed with a daughter, and as long as the father was there for her, nobody could dare mess with her.

[foone]

You know, It doesn't matter if you belive in God or Science or Both, trans people are natural and awesome.

God? Well, we humans are made in God's image. We're all a little figurine of the Creator, and we Create. We create ourselves, our environments, our situations... God made the world and Man gave names to all the animals. We catalog and explore and determine and change. We make the wine and the bread, God made the grapes and the wheat. Of course we make our genders just as much as we make houses and clothes and stories and names. There's a bit of the divine in all of us and it's the part of us that Creates and Loves.

And Science? Oh boy! We are tool-users of the highest order. Changing things is just what we do. We built the pyramids and the dog and the horse and the computer. We've built cities out of swamps and lakes and put flags on the moon. Changing things so they work better for us is just our very nature. We heal our broken bones and build glasses and hearing aids and wheelchairs, because fuck our limitations. We invented corn and the Amazon rainforest. Transformation is in our nature just as much as being bipedal and featherless. We see a world and a body and a mind that doesn't work for us, and we change it. We build roads and skyscrapers and prosthetics and drugs, and the resulting humanity is better. We spent thousands of years building our world and our knowledge of how to change it and we're very good at it by now.

My point is, it doesn't matter if you think we're a unique creation by an omnipotent creator or a hairless ape that evolved to be particularly good at being social tool-users who can cook and throw things, our nature is Creation and Transformation. Of course some humans would be transgender and non-binary and generally genderqueer: those things are just reflections of what it means to be human.

God gave Adam the first tongs so he could smith, and the ape knapped a stone into a point so a spear could be deadlier than just a rock. Transformation is the core of humanity. Of ourselves, our environments, our tools, our stories. There's never been a humanity that was unchanging and rigid: we're not made of stone. We're made of clay and wood and reeds. Endlessly shapeable and cuttable and weavable. We decide what shapes and purposes we are meant for.

[girlactionfigure]

1 Nobel Prize in Chemistry - The Development of Multiscale Models for Complex Chemical Systems

2 Nobel Prize in Chemistry - Quasiperiodic Crystals

3 Nobel Prize in Chemistry - Decoding the Structure and The Function of The Ribosome

4 Nobel Prize in Economic Sciences - Repeated Games

5 Nobel Prize in Chemistry – Ubiquitin, Deciding the Fate of Defective Proteins in Living Cells

6 Nobel Prize in Economics - Human Judgment and Decision-Making Under Uncertainty

7 Fields Medal Award in Mathematics

8 Turing Award - Machine Reasoning Under Uncertainty

9 Turing Award - Nondeterministic Decision-Making

10 Turing Award - The Development of Interactive Zero-Knowledge Proofs

11 Turing Award - Developing New Tools for Systems Verification

12 Vine Seeds Discovered from The Byzantine Period

13 The World’s Most Ancient Hebrew Inscription

14 Ancient Golden Treasure Found at Foot of Temple Mount

15 Sniffphone - Mobile Disease Diagnostics

16 Discovering the Gene Responsible for Fingerprints Formation

17 Pillcam - For Diagnosing and Monitoring Diseases in The Digestive System

18 Technological Application of The Molecular Recognition and Assembly Mechanisms Behind Degenerative Disorders

19 Exelon – A Drug for The Treatment of Dementia

20 Azilect - Drug for Parkinson’s Disease

21 Nano Ghosts - A “Magic Bullet” For Fighting Cancer

22 Doxil (Caelyx) For Cancer Treatment

23 The Genetics of Hearing

24 Copaxone - Drug for The Treatment of Multiple Sclerosis

25 Preserving the Dead Sea Scrolls

26 Developing the Biotechnologies of Valuable Products from Red Marine Microalgae

27 A New Method for Recruiting Immune Cells to Fight Cancer

28 Study of Bacterial Mechanisms for Coping with Temperature Change

29 Steering with The Bats 30 Transmitting Voice Conversations Via the Internet

31 Rewalk – An Exoskeleton That Enables Paraplegics to Walk Again

32 Intelligent Computer Systems

33 Muon Detectors in The World's Largest Scientific Experiment

34 Renaissance Robot for Spine and Brain Surgery

35 Mobileye Accident Prevention System

36 Firewall for Computer Network Security

37 Waze – Outsmarting Traffic, Together

38 Diskonkey - USB Flash Drive

39 Venμs Environmental Research Satellite

40 Iron Dome – Rocket and Mortar Air Defense System

41 Gridon - Preventing Power Outages in High Voltage Grids

42 The First Israeli Nanosatellite

43 Intel's New Generation Processors

44 Electroink - The World’s First Electronic Ink for Commercial Printing

45 Development of A Commercial Membrane for Desalination

46 Developing Modern Wine from Vines of The Bible

47 New Varieties of Seedless Grapes

48 Long-Keeping Regular and Cherry Tomatoes

49 Adapting Citrus Cultivation to Desert Conditions

50 Rhopalaea Idoneta - A New Ascidian Species from The Gulf of Eilat

51 Life in The Dead Sea - Various Fungi Discovered in The Brine

52 Drip Technology - The Irrigation Method That Revolutionized Agriculture

53 Repair of Heart Tissues from Algae

54 Proof of The Existence of Imaginary Particles, Which Could Be Used in Quantum Computers

55 Flying in Peace with The Birds

56 Self-Organization of Bacteria Colonies Sheds Light on The Behaviour of Cancer Cells

57 The First Israeli Astronaut, Colonel Ilan Ramon

58 Dr. Chaim Weizmann - Scientist and Statesman, The First President of Israel, One of The Founders of The Modern Field of Biotechnology

59 Aaron Aaronsohn Botanist, Agronomist, Entrepreneur, Zionist Leader, and Head of The Nili Underground Organization

60 Albert Einstein - Founding Father of The Theory of Relativity, Co-Founder of the Hebrew University in Jerusalem

61 Maimonides - Doctor and Philosopher

Source

@TheMossadIL

[panthera-dei]

I got another witchy FAQs question so I want to go ahead and share it.

This time, we're talking some basic chaos magic with different types of thoughtforms!

Please note that I am not an expert in chaos magic, nor do I consider myself a chaos magician, so feel free to (kindly) leave feedback or corrections as needed. ^^

Thoughtforms 101

Definition of Thoughtform: Thoughtform is a catch-all term from any entity that was created with or by human thought (conscious or otherwise).

Types of Thoughtforms: Common thoughtforms include sigils, servitors, thoughtform companions (aka tulpas), daemons, and egregores.

Sigils: Most folks who create sigils and use sigil magic probably don't think about sigils as a type of chaos magic or a thoughtform. However, sigils actually do fall into this category. Think of a sigil as being like a simple computer program that's powered by your mind. You give the program a basic function (such as protection or prosperity) and the magical "coding" of your intentions allows the sigil to carry it out.

Servitors: If sigils are basic computer programs, then servitors are robots. They're not sentient per se, as they still require the coding and programming that comes with intention and magical energy. Yet they're much more complex than a sigil and can carry out higher-level functions & multiple tasks (e.g., drawing in people to shop on your Etsy page for prosperity, or actively guarding a space or casting a magic circle for protection).

Thoughtform companions: The widespread term for this type is "tulpa," and creating/having one of these thoughtforms is commonly referred to as "tulpamancy." Since there's also a widespread controversy over these terms, I don't use them myself. I say "creating or working with a thoughtform," and I'll refer to the entity as a thoughtform or thoughtform companion. Regardless of the terminology or beliefs behind this category, they are defined as a separate consciousness created by the thoughts and actions of a human. The human is typically referred to as the "host," since the companion is typically treated as its own separate consciousness. These are fully sentient, autonomous beings with their own thoughts and feelings. They're generally created, either intentionally or not, as friends for the host (hence my personal terminology for them).

Daemons: This category is similar to a companion, but with a different origin and function. Daemons have been documented since ancient Greece, to my knowledge. A daemon is also a sentient entity, however, they are not created intentionally by the host (although they can be brought to the forefront by the human in question). A daemon is instead a conscious entity created by, and representative of, the human being's subconscious mind. They typically serve as helpers and mental guides for the human. They are not considered separate entities; instead, they're part of you.

Egregores: These are essentially the AIs of the thoughtform world. Whereas companions and daemons exist within the human mind, egregores are similar to servitors and sigils - created by the mind, but separate from it. Egregores are often made or manifested by a group of people intentionally for a purpose. E.g., a coven may create one as a guardian or a spiritual guide. They're also often created by accident from widespread symbols - for example, branding. And nations. Every time somebody posts a picture of the Starbucks logo, you're most likely feeding an egregore, according to one theory I've heard. Do I believe that personally? Not sure. (I do have an exact source for this one available on request.) As far as I know, egregores exist with varying degrees of sentience, power, and free will depending on the individual scenario (much like artificially intelligent computers & androids in science fiction).

Pop Culture Entities / Deities: These are often referred to as PCEs or PCDs. I prefer the former but I often use them interchangeably. Some folks prefer to be more specific. For example, Raiden from Mortal Kombat is considered a god in that series, so many folks would consider him a pop culture deity. Whereas Dean Winchester is *not* a deity in Supernatural - so he could be considered a pop culture entity instead. However, this is up to the preferences of the individual entity & practitioner.

Differences between PCDs and Egregores: Egregores are ALWAYS created, intentionally or not, by human energy and thought. PCDs, on the other hand, can have a mixed origin sometimes. Some of them may be pure egregores, manifested on purpose or by accident. Others may be preexisting spirits - often nature spirits that are aligned closely to the fandom content - that latch onto a fictional work as a power source, and eventually fuse with it. And then another theory is that PCDs are *all* preexisting spirits or even deities wearing a mask - so for example, folks with this belief would say that PCD Marvel Loki is just Loki appearing in a different form/aspect. I personally think that all PCEs have a unique origin and I try not to make any assumptions.

Where do I fact check you and/or learn more?: Unfortunately, it is *really damn hard* to find good, solid information on pop culture work because it's very new. And while there's *lots* of info on chaos magic, you have to be careful to check the reliability of the source, much as is the case with demonolatry sources. Fortunately, Tumblr is a great source to find other pop culture practitioners. I personally also have *some* sources available for these topics on request, I'm just too lazy to dig through my Drive right at this moment. :)

[nostalgebraist]

Steve DeCanio, an ex-Berkeley activist now doing graduate work at M.I.T., is a good example of a legion of young radicals who know they have lost their influence but have no clear idea how to get it back again. “The alliance between hippies and political radicals is bound to break up,” he said in a recent letter. “There’s just too big a jump from the slogan of ‘Flower Power’ to the deadly realm of politics. Something has to give, and drugs are too ready-made as opiates of the people for the bastards (the police) to fail to take advantage of it.” Decanio spent three months in various Bay Area jails as a result of his civil rights activities and now he is lying low for a while, waiting for an opening. “I’m spending an amazing amount of time studying,” he wrote. “It’s mainly because I’m scared; three months on the bottom of humanity’s trash heap got to me worse than it’s healthy to admit. The country is going to hell, the left is going to pot, but not me. I still want to figure out a way to win.”

Re-reading Hunter S. Thompson's 1967 article about Haight-Ashbury, I thought: "huh, this guy sounds like he's going places. I wonder whether he ever did 'figure out a way to win'?"

So I web searched his name, and ... huh!

My current research interests include Artificial Intelligence, philosophy of the social sciences, and the economics of climate change. Several years ago I examined the consequences of computational limits for economics and social theory in Limits of Economic and Social Knowledge (Palgrave Macmillan, 2013).  Over the course of my academic career I have worked in the fields of global environmental protection, the theory of the firm, and economic history.  I have written about both the contributions and misuse of economics for long-run policy issues such as climate change and stratospheric ozone layer protection.  An earlier book, Economic Models of Climate Change: A Critique (Palgrave Macmillan, 2003), discussed the problems with conventional general equilibrium models applied to climate policy. From 1986 to 1987 I served as Senior Staff Economist at the President’s Council of Economic Advisers. I have been a member of the United Nations Environment Programme’s Economic Options Panel, which reviewed the economic aspects of the Montreal Protocol on Substances that Deplete the Ozone Layer, and I served as Co-Chair of the Montreal Protocol’s Agricultural Economics Task Force of the Technical and Economics Assessment Panel. I participated in the Intergovernmental Panel on Climate Change that shared the 2007 Nobel Peace Prize, and was a recipient of the Leontief Prize for Advancing the Frontiers of Economic Thought in 2007. In 1996 I was honored with a Stratospheric Ozone Protection Award, and in 2007 a “Best of the Best” Stratospheric Ozone Protection Award from the U.S. Environmental Protection Agency. I served as Director of the UCSB Washington Program from 2004 to 2009.

I don't know whether this successful academic career would count as "winning" by his own 1967 standards. But it was a pleasant surprise to find anything noteworthy about the guy at all, given that he was quoted as a non-public figure in a >50-year-old article.

[lilith-hazel-mathematics]

The mathematics of unknowability

Earlier today I rebloged a post about the value of intentional unknowability in art, and how sometimes people are unable to appreciate it. It got me thinking about how, hands down, the all-time greatest piece of art w.r.t. unknowability is a mathematical theorem. I feel like there's so many layers to this that basically nobody gets, even other mathematicians sometimes, and this is supposed to be a math blog, so I'm gonna tell this story my way.

The way this story is usually told goes like this: in the year 1900, the famous mathematician David Hilbert announced a list of the greatest then-unsolved problems of the century. The second problem on this list was to prove that the axioms of arithmetic are logically consistent; that is, that they do not prove absurd results such as 0=1. Famously in the year 1930, on September 8th, he spoke at the Conference of Epistemology with the famous words "We must know. We shall know." The very day prior, however, Kurt Godel had announced his tentative proof of the incompleteness theorems, which would later be published in 1931, demonstrating that no consistent theory can prove itself consistent. Knowability is in shambles. Hilbert has been completely owned.

Now, this telling isn't wrong, but there's so much more which makes this story better. Firstly, Godel's theorem is a fucking theorem. It's a rock solid, unequivocal, undeniable, mathematical fact. Absolute knowledge. Godel drops this beautiful piece of absolute knowledge on the subject of how we can't have absolute knowledge. The irony. Secondly, Godel doesn't even prove that Hilbert's second problem is unsolvable!!!! Quite literally, knowing that the second problem is unsolvable constitutes a solution to the second problem: an inconsistent theory proves everything (including things which are false), so if there's anything which a theory can't prove, then the theory is automatically consistent. So not only can we not solve the second problem, we can't even prove we can't solve it. We believe it's unsolvable, by merit of believing our mathematics is consistent, but we don't actually know.

There's one more thing this story is missing, and that's what happens next. The conventional telling paints Hilbert as the butt of the joke, like some fool in denial. However, the reality is that no reputable mathematician ever denies Godel's result, which includes Hilbert. It's not as if the result didn't upset him, but Hilbert nonetheless accepted it. He was bound to the pursuit of knowledge, and the fact that some things are unknowable is itself knowledge. Moreover, it wasn't like everyone just stopped doing mathematics after Godel. Hilbert didn't stop. Godel didn't stop. And this is for one simple reason which all mathematicians know in their heart.... But you're gonna have to read through me talking actual math to know what it is teehee

What happened next?

In 1936, only 5 years later, Alan Turing invented the Turing machine: a mathematical model for computation, the conceptual origin of the modern computer. A natural question one may have, about a particular computer program, is whether or not it eventually terminates. That is, if you boot up some program to do some work, is it ever going to actually finish? In many individual cases, it's not hard to find the answer: for example, a program that terminates can be proved to terminate by simply running the program and watching it terminate (not rocket science). However, Alan Turing famously proved that the general case is unsolvable by computers. His argument is remarkably simple: if you think you've got a solution to the halting problem, then Turing can make a new program which feeds its own source code to your purported solution, waits for your solution to give its answer, and then Turing's program simply does the opposite. If your purported solution gives an answer then it's wrong, and if it never gives an answer then it's simply not a solution. Contrarianism wins.

Naturally, Godel in 1931 had absolutely no clue about Turing's work of 1936, due to the very subtle fact that Godel cannot see the future. However, with the gift of hindsight we can characterize Godel's theorem in a very beautiful way. Very often the descriptions of Godel's theorem are quite vague, but in modern terms it's actually extremely simple, which I'll try to describe now. Roughly speaking, Godel's theorem consists of three parts.

Firstly, Godel demonstrated that finite sequences of letters and symbols (i.e. text) can be encoded numerically. In modern terms, we all know that our computers encode text using binary, and binary is literally just numbers. Godel basically proved something like that (although his strategy was actually quite impressive).

Secondly, Godel demonstrated that the language of arithmetic can encode statements about provability. In modern terms, we can look at proof verifiers; computer programs which check the validity of mathematical proofs have existed for decades. Basically, a formal proof must obey very strict rules of grammar and inference, and it's possible to make this precise enough that even a computer can understand it. A proof verifier simply reads a proof line by line, and checks that all the rules are followed, and if it gets all the way through then the proof is declared valid.

The third and final component of Godel's theorem is "diagonalization", which in computer terms is simply "recursion"; almost exactly what Turing does. Let T be an effective mathematical theory, and let V be a computer program that verifies proofs in T. Using V, we can construct a new program G which first prints its own source code, and then performs an unbounded search for a proof (as verified by V) which decides whether or not G eventually terminates. If we find such a proof, then G simply does the opposite of what the proof predicts.

Assuming T is consistent, then T cannot prove G doesn't terminate: if T proved that G doesn't terminate, then G would do the opposite and terminate (since G is a contrarian little shit). Moreover, T could prove that G terminates by simply watching it do that, and this would render T inconsistent since it would prove that G simultaneously does and does not terminate, which is absurd. So, any consistent T will fail to prove that G doesn't terminate. On the other hand, the only possible way for G to halt is if T claims it doesn't, and since a consistent T will never do that, then G will never halt. So G runs forever but T cannot prove it. True, but unprovable: that's Godel's first incompleteness theorem.

To get the second incompleteness theorem, basically you just use the fact that T is "smart enough" to carry out the above arguments within itself. T knows, just as well as I do, that "if T is consistent then G doesn't halt". So any T which proved itself consistent would also prove that G doesn't halt, but a consistent T would never prove that G doesn't halt, so a consistent T would also never prove itself consistent. This is Godel's second incompleteness theorem: a consistent T doesn't know she's beautiful it's consistent, and that's what makes it consistent.

---

Okay, so what's the moral of the story? Well, the incompleteness theorems are indeed about unknowability, but fundamentally they are also about prediction. You don't need magic to know what's happened in the past, assuming you keep good records. You don't need magic to figure out that a program terminates after it's already terminated. However, you might actually need magic to figure out that a program never terminates. This is due to the very subtle fact that you cannot see the future.

To me, that's the heart of all this. And it's really not that surprising when you think of it like this! Obviously you can't prove every fact, because some facts haven't happened yet. Obviously you can't solve the halting problem, because you can't see the future. You don't know what's going to happen until it happens. Of course, you're no better or worse than the unknown! G didn't know what T was gonna say about G until T said it. Nobody knows what you're going to do until you do it. Even you yourself won't know what you'll decide until you've decided.

Stay observant, learn as much as you can, but don't be too bothered by the unknown. In many ways, you are the unknown, even to yourself. Maybe you'll never know something, but maybe you'll know tomorrow; you'll certainly never know if you stop looking and pretend you know something you don't. This is what every mathematician knows in their heart. Knowledge is good, but sometimes you never know if you'll ever know until you already do.

-Lilith

-Hazel

[techramonic]

What are some facts or tidbits about Daniel that you don't think is very well-known?

Hey! Thanks for the great question. I have a few things not a lot of people have talked about Daniel, all of which are information taken from his father's book: "Walking in Daniel's Shoes".

Facts about Daniel Mauser

1. Daniel's name came from the Biblical character Daniel and his mother Linda's fondness of Elton John's song titled with the same name. Conner was Linda's maiden name and since she was an only child, it was a way for them to carry her family's last name.

2. In sixth grade, he struggled somewhat with depression. After his mother sent him to a therapist, it was revealed that he was feeling stressed because at the time, he had pneumonia and missed school a few times. He felt that his teacher was pressuring him to catch up. Fortunately, he recovered after a few months.

3. Daniel used to be in cub scouts and boy scouts for a few years. Once school had became more hectic and he was more engaged in piano lessons, he dropped out of the scouts. He had earned basic badges but was not too enthusiastic with scouting long-term.

4. On July 24, 1999, Boy Scout 359 installed a park bench in Daniel’s memory along the South Rim Trail at Roxborough State Park, ten miles south of Columbine. Daniel was once a member of the Boy Scout Troop that preceded 359. Roxborough was the Mauser family’s favorite hiking area.

5. He played chess and won second place in a Denver metro tournament as a member of the school's chest club team. He also won two National Science Olympiad awards, presented to the top ten scorers in general science knowledge.

6. He was an occasional babysitter and was great with kids.

7. He was a Junior Volunteer at Swedish Hospital for two summers and helped in the pharmacy and he expressed interest in working in a medical or medical research field.

8. Despite winning often in games like Super Mario Brothers and even Foosball, his dad had caught on he was getting bored of playing with him, but despite that, he still played whenever he was invited because that was how much he loved his father.

9. He had a keen interest in current events and social issues and was a frequent reader of Time Magazine and viewer of 60 Minutes.

10. His father said he sometimes worried about little things, like if the gas tank in the car was getting too low.

11. He played soccer for a couple of years when he was younger, tried skiing, and played baseball on a YMCA team.

12. Before his death, Daniel's Biology teacher told his mother that he would be receiving an award for outstanding sophomore biology student. It was a supposed secret, one which Daniel never found out.

13. His family was very close. Tom described them as a "Dinner Table Family", who always ate dinner together. According to his father's words, "there was no sneaking off to watch the TV or play on the computer. We are together, talked together, and exchanged stories."

14. Daniel and his sister were close despite their contrasting personalities. Daniel was more like his mother—shy, introspective, intelligent, and calm. His sister Christine was like her father—outgoing, witty, a bit wild and crazy. He would often roll his eyes at her and in an exasperated tone, he would exclaim, "Theater people! Oh, my God!"

15. He had a dry sense of humor and his mom thought he prided himself on being a rational sort of fellow who was not given to drama of any sort.

16. Tom, Daniel's father, grew out of poverty. He came from Finelyville, a small town south of Pittsburgh. His father was a coal miner, his mother was a housewife, and he was the youngest out of four siblings. Tom rarely had pictures of himself. However, he didn't want that to happen with his children, so he would frequently take their pictures and film them to keep memories.

17. Daniel didn't like his pictures being taken when he was a teen. His father would still insist to take pictures for keepsake.

18. When he was fifteen and a half, Daniel was qualified to receive his driver's permit but he said he wasn't ready yet.

19. His nickname in debate class, according to Devon Adams, was "Moose": "So appropriate —it's a large, amusing but quick and fierce when-it-needs-to-be animal."

20. Daniel volunteered to rake the leaves off the lawn of a neighborhood senior citizen's house after he recently had a heartattack.

[makeitdewey]

002 The book (writing, libraries, and book-related topics)

This is important. Fuck Amazon books, Apple books. Shop local.

[ismellpestilence]

No one has ever come up with a justification for generative AI* that isn't flimsier than tissue paper.

I use it because I'm not very good a drawing/animating/whatever.

Practice makes perfect. Any skill worth having is worth working hard for.

I use it to find recipes for dinner.

Literally google it. Easy recipes. [Insert cuisine here] recipes. Buy a cookbook.

But I need it to tell me what I can make with the ingredients I already have.

That already exists. There are apps and websites that do that, if you could be bothered to look for them.

I need it for things I don't know how to make, like resumes.

Once again, google it. There are templates everywhere. Ask a friend for help.

Okay but I'm not very good with writing and grammar, so I need it to proofread for me.

Ask a friend to do it for you. Read it out loud to yourself. Have your computer read it back to you. Set it aside and come back a few hours later.

I need it to summarize course material for me so I can understand it better.

That's already out there. Spark Notes. Cliff Notes. Khan Academy. Get a friend to help you. Get a tutor. Ask your teacher. Use Reddit if you're desperate.

I only use it to write essays for classes that I don't need for my major. Colleges these days have too many bullshit requirements + I'm not even going to college. I'm going into a trade so I don't need to know classic lit or any of that nonsense.

That's just a skill issue. Sorry, except I'm not. I live and die by my skills alone. Yes, I do think I'm better than you, because I am.

Do you think children are taught animal sounds because they might need them for their careers? Of course you don't. It is tremendously important that people have a well-rounded knowledge of the world. You may think you don't need to know about classic lit or chemistry, but you are more than your job. You are a member of society. You are a voter, and may be a parent. History, art, literature, and science are very, very connected to politics right now, and it's important you understand those things. You need to understand how the world works.

You need to be capable of working even when you don't want to, and thinking through tough concepts. Your brain is like a muscle. If you've ever tried to do something after a long time and discovered that you can't remember how, then you know that, like a muscle, your knowledge will atrophy if you don't use it. If you refuse to sit down and think, even when it's inconvenient, you will lose the ability to do so.

Anyone who uses generative AI is making themself lazier and dumber. Don't do that. Have some self respect.

*I say generative AI because I am not again all AI on principle. There are some ways that it could, if done right, be very helpful. My beef if with the scrape-for-data-and-spit-it-back-out AI.

[lady-of-endless]

Ghiaccio general headcanons

Author's Note: As I stated earlier, it's my birthday and I want to make it everyone's problem so I decided to drop some random headcanons. Some might be off but cope with it. Hope you'll enjoy it! Gif is not mine, I'm thanking the owner for it.

Romantic headcanons are here.

- Ghiaccio thinks and feels a lot and it makes him less present sometimes. His thoughts and reactions get him distracted from the original plan or idea. This happens a lot especially when he's angry. He needs to vent or lash out first to get back to what he was initially doing. It all feels too much for him sometimes.

- Ghiaccio honestly hates that his hands are feet are always cold. At first, it wasn't such a big problem but in time as he repeatedly used White Album a little more recklessly, that cold feeling stopped going away after a while. He got used to it but that doesn't mean it's comfortable.

- This is only one of the reasons why he is drawn to warmth. Not only to coziness but to affectionate people. Even if no one can tell this, he craves it, as much as he denies it. And exactly because he looks annoyed and done with everyone, many avoid him so of course some warmth and affection does good to him.

- So of course he's a fan of temperature play. It's all about the reactions he gets and the feeling of his cold hands touching something warm. (ik I've said this before but I can't get enough of it)

- He's just as skilled with the computer as Melone. Ghiaccio is seen quite often with his laptop at the base but doesn't flex with it, even if at this point, he has lost count of how many problems he fixed on each teammate's device. You won't believe how many cursed things he has accidentally seen in their web history.

- About other abilities and knowledge he possesses, Ghiaccio knows a lot about science. Not because his Stand abilities require knowing some basic science but because he was passionate about it before joining the mafia. His outfit is a hint of this, the white buttoned-up blouse being an example of that lab aesthetic, sort of.

- His scent resembles the smell that's in the air after a rain. It's mainly because of his cryokinesis, freezing and defrefreezing the air around him. It makes him smell like something aquatic, ozonic, musky and slightly citric. (something like Maison Margiela - When the Rain Stops or Demeter - Thunderstorm or Demeter - Rain)

- Because he is intense, not many take him seriously and this frustrates him further more and so this vicious cycle goes on. Is more than impressed when someone truly listens to whatever he has to say without jumping to the conclusion that he's just exaggerating.

- Deeply, very deeply, he's a bit shy but he always disguises it well. He's not that open to meeting new people at first. And he gets flustered when someone can read him and looks away frustrated.

- He's determined to get La Squadra the respect it deserves because he cares about this team as he cares about his family because that's exactly what this is for him. He won't say it but even so, it's very clear from his actions.

- Ghiaccio is greedy and ambitious. He wants it all, and he is always willing to go the extra mile for what he wants.

- Despite his overpowered Stand ability, Ghiaccio often feels like the underdog of the team. Overworked, underpaid, and not respected as much as he wishes.

- His demeanor is softer when he's tired, in the morning, or after intercourse. Everyone is shocked not just by his demeanor but by how his voice sounds when he's calm.

- Likes to exhaust his targets before finishing them quickly. He thinks it's more effective but also intimidating. If you are his target, it all starts with a chill and a shiver down your spine before it gets colder around you, then freezing and soon you won't even know what hit you.

- When he uses White Album's abilities without his full-body suit on, you can notice tiny snowflakes stuck in his blue curly curls and a bit of rime ice on his high cheekbones.

- His Stand's name is indeed linked to The Beatles but he often listens to Daft Punk when driving, but not their most popular songs. Check out the songs "Robot Rock" (link) and "Giorgio by Moroder" (link) and imagine him driving fast in the middle of the night, closer and closer to his target with these songs playing. He needs music with little to no lyrics to focus (I am very biased here sorry not sorry).

- Balance is important in ice skating so his upper body might get tense often to the point of having a slight chronic pain in his back. It's not bad but it's bothersome at the end of the day if he abused the power of White Album. He's taller than it seems because of his slightly bent knees, it helps with the balance when he's on ice. However, he has the strongest legs in La Squadra because of it and no one has ever seen him lose his balance and stumble.

[nekrosdolly]

albert wesker hcs pt.2 (re1-re5) (18+)

a/n; overall headcanons for whiskers himself! both nsfw and sfw, mostly nsfw. these are just my opinions and if they're ooc, i'm sorry. i'd like to say that im so down bad it's horrible and laughable. probably my longest post yet my computer is killing itself.

cw; nsfw content (i.e. kink talk, genitalia discussions and descriptions, mentions of dubcon and CNC, collaring mentions, cockwarming, impact play, light bondage, bdsm themes, dom/sub relationship)

˖⁺‧₊˚♡˚₊‧⁺˖ hex codes ˖⁺‧₊˚♡˚₊‧⁺˖

applies to all variants

˚ʚ♡ɞ˚ - overall skintone is #F6E5DE

˚ʚ♡ɞ˚ - his eyes are #adcfe6

˚ʚ♡ɞ˚ - his cock starts with #f6e5de, fades to #F1D8CD. tip is #ffc8b5.

˚ʚ♡ɞ˚ - his hair (pubes included) is #F0E2B6

₊˚⊹♡size and habits ₊˚⊹♡

˚ʚ♡ɞ˚ - he's 8" in length, definitely can't close your fingers around it. thick vein on the underside.

˚ʚ♡ɞ˚ - 6'2 in height, more lean than muscular. towers over most.

˚ʚ♡ɞ˚ - definitely well groomed. not very hairy in general, thus he doesn't have very much hair to groom. cuts his hair (in the bathroom by himself mind you) every month.

˚ʚ♡ɞ˚ - re1 eats as needed, the healthy 3 times a day, and plenty of water to stay on top of his game. re5 doesn't have the need to eat or drink. he's no longer 100% human and his appetite diminished within months of taking doses of Uroboros.

˚ʚ♡ɞ˚ - reads a lot when he's not working. non-fiction, science-based literature to expand his knowledge. his wits came naturally, sure, but that doesn't mean he can't maintain them. at home, when he's truly by himself, he doesn't wear his sunglasses. he has an actual prescription pair that's a similar style to his sunglasses, just without the tint.

˚ʚ♡ɞ˚ - his guilty pleasures are romance novels. the vampire kind, specifically. he finds them entertaining though he often makes fun of the cheesier ones. when he stumbles across the occasional good one, he rereads it over and over again until he's worn out the spine.

˚ʚ♡ɞ˚ - he drinks wine. not one for beer, truthfully, but will drink some here and there. whiskey is his second choice.

⋆˙⟡♡⟡⋆˙kinks⋆˙⟡♡⟡⋆˙

୨୧ - (re1) at the beginning of your relationship, he'll only do something if you ask him to. he's never thought much about sexual exploration given his long, *long* history of solitude. he refuses to do anything that might injure you- knifeplay, gunplay, impact play (light or hard), etc. sure, he'll tie you up if you ask, he doesn't mind. he plays into your desires.

୨୧ - (re1) the more he researches, the more he finds he likes. he buys some ribbon to bind you with- the flimsy kind you can get out of quickly should you need to. he loves pink on you. he only binds your wrists together, nothing too intense. maybe he blindfolds you, uses a toy on you, or overstimulates you. consent checks regularly, as well. you use safewords should you need them.

୨୧ - (re5) fully established kinks. he's less human and less rational, but he knows to respect your boundaries. he leaves bite marks all over you and demands that you don't cover them up with makeup or clothing. he likes owning you. you're given a collar, of which you can put on or take off as you please, but during which you are fully submissive to him and whatever he wants you to do.

୨୧ - (re5) consensual nonconsensual (cnc) is his favorite. of course, you have to be wearing your collar for him to take advantage of you. safewords are a must for the both of you. he's never submissive, definitely a hard dom. he doesn't feel the need for knives or guns, but he does love impact play. loves shutting up your bratty mouth by slapping you and manhandling you. he's switched to handcuffs instead of ribbon if he deems them necessary.

୨୧ - (re5) since Uroboros has diminished his humanity by a good chunk, he's more animalistic towards you. aside from marking you up, he's obsessed with breeding. adores cumming inside you until you're leaking it. he knows you love it just as much as he does. at some point, it becomes routine. "such a slut. can't go a day without being fucked full of cum." he degrades you lightly, nothing that would genuinely hurt. simple things i.e slut, whore, toy, doll, dumb, stupid, etc.

༘⋆✿ favorite positions ༘⋆✿

๋࣭ ⭑ - (re1) he likes seeing your face. he loves watching your face twist and contort with the pleasure he gives you. adores being able to see all of you, all of what he does to you. eye contact drives him crazy. if you're blindfolded, he won't finish until you're done. he'll ask if he can take your blindfold off between kisses to your face.

๋࣭ ⭑ - missionary is a must. your first time with each other is missionary- the romantic first time you'd see in movies where he takes his time to make you feel valued. the lotus position is another one he likes if you're going to be on top. he's okay with you riding him too, if you really want, but he'd prefer to be the one in control.

๋࣭ ⭑ - if you both aren't feeling sex, he loves getting you off by having you sit on his face or using his fingers on you. he doesn't need anything in exchange either. he's found that he doesn't like receiving head, as he finds it to be degrading towards you, and that's the last thing he wants. but if you insist, he allows it. he mutters praises as you take him down to the base, swallowing around him in an attempt to not gag.

๋࣭ ⭑ - mutual masturbation is something he's weak for. he loves watching your hand try to fit around him as you stroke his cock so eagerly, his fingers buried in your weeping entrance.

๋࣭ ⭑ - (re5) he prefers less intimacy, not like how he used to. he thinks it's too human, something he's made quite clear that he's not anymore. he'll fuck you just about anywhere. he prefers doggy with his arm around your neck, keeping you in a chokehold. bonus points if you beg him to breed you in this position.

๋࣭ ⭑ - what he gets, he'll give. you give him head, something he's come to enjoy, he'll give you head with the same enthusiasm.

๋࣭ ⭑ - cockwarming is a must. prefers it while he's either reading or working at his desk. sometimes, he'll make you read to him and thrust up into you occasionally so you stumble over your words. when he gets impatient, he pins you down and fucks into you until he comes at least twice inside of you.

๋࣭ ⭑ - wearing your collar? he'll fuck you while you're cuddling. spooning is preferred, but whether you're sitting on his lap, lying on top of him, or him on top of you, he's putting his cock inside you. very rarely does he do slow and soft, but if you're both tired, he'll be careful with you. he loves sitting you in his lap, his forceful grip on your hips, and moving you like a ragdoll. superhuman strength pays off in situations like this. his fingertips leave bruises that make his cock twitch whenever he sees them.

˗ˋˏ ♡ ˎˊ˗ pet names ˗ˋˏ ♡ ˎˊ˗

𓆩♡𓆪 - (re1) calls you darling, dearest, dear, little dove, dove. adores praising you and could for days on end. (i.e. "that's it, dear, you're doing so well for me. are you alright? should i stop?)

𓆩♡𓆪 - (re5) calls you pet, dear, bunny, darling, slut, whore, dolly. praises and degrades you. (i.e. "what a good fucking whore, taking my cock so well. you were made for taking my cock, my personal whore. i'm going to ruin you for anyone else." )

[makeitdewey]

005 Computer programming, programs, and data

A brief summary of how user engagement is tracked on Tumblr, for the newcomer:

When you like or reblog a post, that counts as user engagement for the person you liked or reblogged from, and shows up in their notifications.  

If the person you liked or reblogged a post from wasn’t the original poster (i.e., you’re liking or reblogging a reblog), it also counts as user engagement for the original poster, and shows up in their notifications as well.  

This means that user engagement from your likes and reblogs can potential accrue to two different people, the original poster and the person you liked or reblogged from.  

Consequently, you cannot “steal” user engagement from someone by reblogging their post.  

This is one of the very few areas where Tumblr is actually functions more reasonably than other social media platforms.  

Note that this is only true if you use Tumblr’s built-in reblogging function. If you save someone else’s content to your local device and append it to a new post, you effectively become the original poster from that point on.  

This means that on Tumblr, “reblogging” and “reposting” are two different things; if you see someone complaining about “reposting”, this is not the same as reblogging.  

Commenting when reblogging does not affect any of this – unlike, say, Twitter, where quote-retweeting causes user engagement to accrue to the quote-retweet and not to the original tweet – and you can and should do so freely.  

However, every Tumblr user can see who exactly you reblogged a post from, which functions as a soft disincentive against making inane comments; if you make a dumb comment on a reblog, people who see your reblog may “back up” one step in the reblog chain to reblog a version of the post without your comment.  

Nobody understands tags, and there’s a fair amount of evidence that how tags work changes periodically and without warning.  

Tags are a divine mystery.