Rufus: The Shopping Assistant Who Moonlights As A React Dev

Ah, the classic machine learning joke that hits too close to home! Instead of having its own preferences, the ML algorithm just wants to know what everyone else is drinking—because that's literally how it works. Collaborative filtering in a nutshell. This is basically every recommendation system ever built: "I see you're a human with unique tastes and preferences. Have you considered liking exactly what everyone else likes?" Next thing you know, the algorithm is wearing the same outfit as all the other algorithms at the party.

Just what we needed - startups promising to swap our heads like Lego pieces, but can't deliver until "within a decade." Classic tech vaporware with a side of body horror! They'll probably ship the beta with known bugs like "occasional neck disconnection" and "consciousness randomly migrates to the cloud." Meanwhile, their pitch deck shows a 500% growth projection based entirely on VC partners who want spare bodies for when they burn out their current ones. The finest example of "we were so preoccupied with whether we could, we didn't stop to think if we should" since cryptocurrency-powered toasters.

Finally, someone said it! Andrew Ng, the AI guru who could've just kept raking in the Silicon Valley cash, decided to drop some truth bombs. "Vibe coding" sounds like you're sipping kombucha while casually typing console.log("feeling cute today") when in reality you're having your third existential crisis before lunch because your Docker container won't stop committing suicide. Nothing says "vibe" quite like staring at a stack trace at 3 AM while questioning your career choices. Maybe we should rename it "despair engineering" or "caffeine-fueled panic typing" instead?

STOP THE PRESSES! The revolutionary "AI-driven" Robotaxi is actually just some poor soul in India with a gaming steering wheel frantically clicking through virtual streets! 😱 The tech industry's greatest magic trick - convincing investors that "powered by AI" doesn't sometimes mean "powered by underpaid humans halfway across the globe." Next they'll tell us their cutting-edge chatbot isn't just three children in a trenchcoat typing really fast! The audacity! The deception! The absolutely predictable reality of tech startups slapping "AI" on everything while actual humans do the work behind digital curtains!

So AWS proudly announces that AI writes 75% of their production code, and then their engineers wonder why everything's on fire? Classic. When "Claude" (their AI) responds with enthusiastic agreement to fix production issues, it's basically Elmo cheerfully presiding over the flames of digital hell. Welcome to the future of cloud computing, where your critical infrastructure is maintained by the digital equivalent of a pyromaniac puppet who's just happy to be included in the conversation. Next time your AWS-hosted site goes down, remember: it's not a bug, it's an AI-generated feature!

When your neural network sees a GPU and a 3D loss function plot trying to solve what your brain does naturally: "Look what they need to mimic a fraction of our power." Hardware engineers sweating as they build increasingly monstrous GPUs just to calculate gradients, while the human brain sitting there using 20 watts and somehow understanding why that cat meme is funny. The ultimate flex of biological computing.