When Anyone Questions What I Do At Work All Day

Content rmemes Posted by uTheBeatEngine 5 hours ago I swear this is every teacher ever Teacher: Oh come on, the test isn't that hard. The test: What is an atom True False Submit plerk 2 points 2 hours ago It's true in javascript Reply Give Award Share Report Save GreyPrinceZote 1 point just now Therefore the correct answer is false Reply Share Save Edit

You know what's funny? They tell you "we're promoting you to Senior Engineer" and you're thinking stock options and fat raises. Instead, you get a 3% bump that barely covers inflation, but suddenly you're responsible for the entire microservices architecture, mentoring three juniors, on-call rotations, and somehow accountable when Dave from DevOps breaks production again. The corporate playbook is simple: maximize output, minimize cost. They've got spreadsheets that prove giving you more work is cheaper than hiring another person. And the best part? They'll call it "career growth" and "leadership opportunities" while your salary crawls up like it's stuck in O(n²) time complexity. Pro tip: responsibilities scale exponentially, salary scales logarithmically. That's just math they don't teach you in CS degree programs.

Content Trying random stuff for hours instead of reading the documentation

Content Lifestyle Tech News WhatsApp increases group chat size limit to 256 people It's not clear why WhatsApp settled on such an oddly specific number

Content Today I killed a switch. How, you asked? Someone implemented their own interpretation of power over ethernet.

Nvidia out here playing 4D chess: invest billions into AI, watch AI models consume ungodly amounts of RAM to load those massive parameters, then realize you need more RAM to feed your GPUs. It's the perfect business model—create the demand, then scramble to supply it yourself. The AI boom turned into a RAM shortage so fast that even Nvidia's looking around like "wait, where'd all the memory go?" Fun fact: Modern large language models can require hundreds of gigabytes of VRAM just to run inference. When you're training? Better start measuring in terabytes. Nvidia basically funded their own supply chain crisis.