North Korean Software Engineers Were Sweating Yesterday

The existential crisis of modern programming in one tweet! Someone asks if you're a bot, and the reply cuts straight to the bone: "We are all bots. Some implemented with neurons and synapses, others with PHP. Arguably both are about the same IQ." Brutal takedown of PHP developers everywhere while simultaneously questioning what even makes us human. The philosophical burn is so savage it makes Descartes' "I think therefore I am" look like a casual observation. PHP catching strays in a conversation about artificial intelligence is peak programmer humor.

The tech industry's selective standards are painfully real. They'll reject a fresh grad for not implementing some theoretical O(n) algorithm they'll never use again, but will happily throw billions at AI models running on brute-force compute that would make any algorithm professor have an existential crisis. For those who don't know, O(n) refers to linear time complexity - basically how efficiently an algorithm scales. Companies obsess over this in interviews then proceed to ignore efficiency completely when it comes to their shiny new toys. Next time you're rejected for not optimizing a binary tree traversal fast enough, just remember - somewhere a data center is melting the polar ice caps to generate a cat picture.

AI companies pitching their next model like "just give us another 500 megawatts and we'll totally achieve AGI this time, we promise." The exponential scaling of AI training infrastructure has gotten so ridiculous that tech giants are literally partnering with nuclear power plants to feed their GPU farms. Microsoft's Three Mile Island deal, anyone? The tweet format is chef's kiss—the baby doubling in size with exponential growth that makes zero biological sense perfectly mirrors how AI companies keep scaling compute and expecting intelligence to magically emerge. "Just 10x the parameters again, bro. Trust me, bro. AGI is right around the corner." Meanwhile, the energy consumption is growing faster than the actual capabilities. Fun fact: Training GPT-3 consumed about 1,287 MWh of electricity—enough to power an average American home for 120 years. And that was the small one compared to what they're cooking up now.

The absolute state of enterprise software in 2024! This soap dispenser pumping directly onto a bar of soap perfectly captures how legacy companies implement AI - just slapping a chatbot on top of their ancient codebase without any actual integration. It's like putting racing stripes on a horse-drawn carriage and calling it "AI-powered transportation." The poor chatbot is just sitting there, desperately trying to make sense of 20-year-old spaghetti code written by developers who have long since retired to tropical islands.

Content STOP DOING AGILE • SOFTWARE WAS NOT SUPPOSED TO BE SISYPHEAN • YEARS OF PROGRAMS yet NO REAL-WORLD USE FOUND for a DAILY STANDUP • Wanted to add features anyway for a laugh? We had a tool for that: It was called "WATERFALL" • "Yes please give me UNFINISHED software. Please let me work INFINITY hours"- Statements dreamed up by the utterly Deranged LOOK at what Programmers have been demanding your Respect for all this time, with all the keyboards & mice we built for them (This is REAL Programming, done by REAL Programmers): SCRUM PROCESS ????? ????? ????????????????? "Hello I would like features please" They have played us for absolute fools