computer science Memes

Same Thing
Math Algorithms Programming
3 days ago 202.4K views 1 shares
Same Thing
The classic "they're the same picture" energy, but make it career anxiety. Society loves to pretend Math and Computer Science are two distinct paths leading to different destinations, but spoiler alert: they both funnel straight into the unemployment arrow. The goat standing there judging your "free choice" is basically every CS grad who thought they'd escape differential equations by learning to code, only to realize their degree is just applied math with RGB lighting. Plot twist: neither degree guarantees a job, but at least with CS you get to be unemployed while knowing how to center a div.

Base 10
Math Programming
3 days ago 165.4K views 0 shares
Base 10
The classic number base paradox strikes again! The alien sees 10 rocks and says "10 rocks" in base 4 (which equals 4 in decimal). The astronaut assumes base 10 and gets confused. But here's the kicker: no matter what base you're using, you always represent it as "base 10" in that base . In base 4, the number 4 is written as "10". In base 16 (hex), the number 16 is written as "10". In binary, the number 2 is written as "10". Every civilization thinks they're using "base 10" because that's literally how you write the base number in that base. It's like asking "What is base 4?" and the answer is always "base 10" from that base's perspective. The real galaxy brain moment: when you realize that if aliens showed up and said they use "base 10", we'd have absolutely no idea what they actually mean without seeing them count first. Could be binary for all we know.

When You Realize Tower Of Hanoi Is Actually NP-Complete
Algorithms Math Programming
5 days ago 150.1K views 0 shares
When You Realize Tower Of Hanoi Is Actually NP-Complete
Oh look, it's the Tower of Hanoi! That innocent-looking wooden toy that turns every programmer into a sweating mess during technical interviews. Sure, normies see a children's puzzle, but programmers instantly flash back to their algorithms class where they learned about recursive solutions, exponential time complexity (2^n - 1 moves for n disks), and the existential dread of explaining their solution to a whiteboard. The recursive nature of Tower of Hanoi makes it a classic teaching example: move n-1 disks to auxiliary peg, move largest disk to destination, move n-1 disks from auxiliary to destination. Simple in theory, but watching that call stack grow deeper than your imposter syndrome? Yeah, that'll make anyone look like that concerned seal. Fun fact: With 64 disks, solving Tower of Hanoi would take about 585 billion years. Still faster than waiting for your CI/CD pipeline to finish though.

Mutices
Programming Rust C++ Python Java
5 days ago 205.6K views 0 shares
Mutices
When your computer science degree meets Latin grammar rules and they have a beautiful, horrifying baby called "deadlock." Because nothing says "I understand concurrent programming" quite like realizing the plural of mutex should logically be "mutices" but we're all too traumatized by race conditions to care about proper Latin declension. The progression from indices to vertices to deadlock is *chef's kiss* – like watching someone slowly descend into madness. Started with mathematical elegance, ended with existential dread. That's concurrency for you! Fun fact: A mutex (mutual exclusion) is a synchronization primitive that prevents multiple threads from accessing shared resources simultaneously. When multiple mutexes lock each other in a circular wait... well, you get deadlock, which is the programming equivalent of two people trying to be polite at a doorway and neither moving. Forever.

Just Cpu
Hardware Programming Debugging
6 days ago 182.8K views 0 shares
Just Cpu
When your janky code somehow works and you're having an existential crisis about it, just remember: we're all basically wizards who convinced some fancy silicon to do math by zapping it with electricity. That's it. That's the whole industry. Your hacky solution that works? Totally fine. The CPU doesn't judge you—it's literally just a rock we flattened and taught to think by putting lightning inside it. Every single line of code you've ever written is just you whispering sweet nothings to a very expensive pebble until it does what you want. So yeah, that nested ternary operator that makes your coworkers cry? The rock doesn't care. Ship it.

Compiler Engineering
Programming Rust C++ Debugging
10 days ago 191.9K views 0 shares
Compiler Engineering
Studying compilers: reading dragon books, understanding lexical analysis, parsing theory, optimization passes. Sounds sophisticated, right? Actually writing compilers: chugging Monster energy drinks at 3 AM while debugging segfaults in your hand-rolled parser, questioning every life choice that led you to implement register allocation by hand. The theoretical elegance meets the practical reality of infinite edge cases and cursed pointer arithmetic. Fun fact: The average compiler engineer consumes approximately 47% more caffeine than regular developers. The other 53% is pure spite directed at whoever invented left-recursive grammars.

I Love Pathfinding
Algorithms AI Programming Testing
12 days ago 166.9K views 0 shares
I Love Pathfinding
When someone innocently asks why you know Romanian geography so well, and you have to explain that implementing A* pathfinding means you've traversed every possible route between Bucharest and Cluj-Napoca about 47,000 times in your test cases. The chess board with the AI textbook is chef's kiss – because nothing says "I'm a normal person" like having Russell & Norvig's brick of a book memorized while your pathfinding algorithm treats European cities like graph nodes. Sure, you could just say you like geography, but where's the fun in hiding the fact that you've optimized heuristic functions using Romanian cities as your dataset? The Traveling Salesman Problem hits different when you're actually trying to visit every Romanian city in minimum time.

Money
Programming
18 days ago 249.0K views 0 shares
Money
Ah yes, the classic interview question that makes everyone suddenly develop amnesia about their childhood dreams. "I wanted to change the world! Innovate! Create!" Nah, who are we kidding? We saw those Silicon Valley salary packages and suddenly algorithms became VERY interesting. Nothing says "passion for technology" quite like realizing you can afford guacamole at Chipotle without checking your bank account first. The brutal honesty is refreshing though—at least Mr. Krabs here isn't pretending he got into CS because he was "fascinated by computational theory" at age 12.

Don't Be Scared Math And Computing Are Friends
Math Algorithms Programming
18 days ago 132.7K views 0 shares
Don't Be Scared Math And Computing Are Friends
That intimidating Σ (capital sigma) notation that made you question your life choices in calculus? Yeah, it's literally just a for-loop. And that Π (capital pi) symbol that looked like a gateway to mathematical hell? Also a for-loop, but with multiplication instead of addition. The summation iterates from n=0 to 4, adding 3*n each time, while the product does the same from n=1 to 4, multiplying by 2*n. Once you realize mathematical notation is just fancy syntax for basic programming constructs, suddenly those textbooks become a lot less threatening. It's the same energy as discovering that "algorithm" is just a pretentious way of saying "recipe."

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Don't Be Afraid... Math And Computing Are Allies
Math Algorithms Programming
19 days ago 233.8K views 0 shares
Don't Be Afraid... Math And Computing Are Allies
Look, that intimidating Sigma and Pi notation you avoided in college? Yeah, they're just fancy for-loops with better PR. Summation is literally sum += 3*n and Product is prod *= 2*n . That's it. Mathematicians really said "let's make simple iteration look like ancient Greek spellcasting" and then wondered why people have math anxiety. Meanwhile, your average dev writes these same operations daily without breaking a sweat. The real plot twist? Once you realize math notation is just verbose pseudocode written by people who peaked before computers existed, algorithms suddenly become way less scary. Your CS degree just demystified centuries of mathematical gatekeeping in one tweet.

Money
Programming
19 days ago 259.5K views 0 shares
Money
Let's be real here—nobody grows up dreaming about pointers and segmentation faults. We all had that romanticized vision of building the next Facebook or creating AI that would change the world. Then reality hit: rent is due, student loans are calling, and suddenly a six-figure salary for writing CRUD apps sounds pretty damn good. The passion for technology? Sure, some of us had it. But most of us saw those salary surveys and thought "wait, you're telling me I can make THIS much for sitting in air conditioning and arguing about tabs vs spaces?" Sold. Five years later you're debugging legacy code at 2 AM, but hey, at least your bank account doesn't cry anymore.

Money
Programming
19 days ago 235.7K views 1 shares
Money
Let's be real here—nobody wakes up at 3 AM debugging segfaults because they're "passionate about technology." We all had that romanticized vision of changing the world with code, but then rent was due and suddenly those FAANG salaries started looking pretty motivating. Sure, some people genuinely love the craft, but for most of us? It was the promise of a stable paycheck, remote work, and not having to wear pants to meetings. The tech industry basically turned an entire generation into mercenaries with mechanical keyboards.