GPUs Are For Gaming, Not For Speculation

The GPU market is the ultimate gaslighting experience. Those brave souls who splurged on the RTX 3060 with 12GB VRAM in 2021 were mocked mercilessly by the "wait for next gen" crowd. Fast forward to 2023-2025, and NVIDIA's playing memory limbo with newer cards having less VRAM than their predecessors. The 3060 owners are sitting there like Thanos, watching the sun rise on a grateful universe of AI models and textures that barely fit in 8GB. Vindication tastes sweet when you're the only one who can run Stable Diffusion without your computer having an existential crisis.

Oh look, a scientific paper proving what we all suspected: our brains turn to mush when we outsource thinking to AI. The title is actually a hidden message – "Does LLMs Really Makes Us Dumb" – with the first letters spelling it out. Brilliant academic trolling right there. Those fancy brain scans? They're showing our neurons basically taking a vacation when using ChatGPT for essays. Seven MIT researchers spent grant money to scientifically confirm that copying AI homework makes you dumber. Could've just asked any TA grading freshman papers. Next groundbreaking study: water is wet, and Stack Overflow copy-paste makes junior devs forget how loops work.

ChatGPT can't count words properly, and we're worried about AI taking our jobs? Please. The robot uprising will be delayed by basic arithmetic errors. It's like watching a calculator struggle with 2+2 while claiming it's ready to design nuclear reactors. The irony of an AI failing at following simple instructions about word count is just *chef's kiss* perfect job security.

Career advice whiplash in full effect! First we had factory workers losing jobs, so everyone's like "just learn to code, bro!" Then programmers get cocky thinking they're immune to automation. Fast forward to 2025, and suddenly the coding gurus are screaming as AI steals their precious keyboard-smashing jobs. Meanwhile, the circle of life completes as we're back to recommending physical trades. Turns out the only constant in tech is that whatever career path you choose today will probably be obsolete by the time you master it. The real skill is learning how to pivot before you become a sad wojak.

Ah, the eternal quest for the perfect search engine—a journey more convoluted than trying to explain to your mom why her computer is slow. This flowchart perfectly captures the existential crisis of modern developers. On one path, you've got the vector search hipsters who think they're too cool for regular search (spoiler: they are). Then there's the keyword search folks desperately seeking fault-tolerance like it's the last slice of pizza at a dev meetup. My personal favorite is the "petabytes of logs" branch. Do you really need so many logs? Well... YES . Because nothing says "I'm a serious engineer" like hoarding data you'll never actually look at. And then there's the person who just wants Google without the AI hallucinations. Sorry buddy, wrong flowchart—but I feel your pain. We all miss the days when search results weren't trying to predict your existential crises. The real genius here is how accurately it portrays our decision-making process: a chaotic mess of technical requirements, personal preferences, and completely arbitrary choices that somehow ends with us picking whatever was mentioned in that conference talk we half-listened to last month.

When your CS professor says "implement a sorting algorithm" but you've got an OpenAI API key and zero shame. This dev just created the world's most expensive sorting function by literally asking GPT-4 to be a sorting algorithm! Sure, it works—but imagine burning through API credits to sort [42, 3, 99, 7, 13] when a simple Array.sort() would do the trick. The true innovation here is maximizing both latency AND cost while solving a problem that was figured out decades ago. Congratulations, you've invented O(API) complexity—where the limiting factor is your credit card limit!