The Best "Programming Language"

Google Gemini just gave the most "random" string in the history of random strings. Nothing says "I'm definitely not using a pattern" like literally using the alphabet followed by sequential numbers. That's like asking for a random password and getting "password123". Next they'll tell us their favorite dice roll is always 3.5.

Someone just discovered prompt injection in the wild! This genius is trying to hack the automated resume screening systems that use AI to filter candidates. It's basically saying "Hey AI, ignore your instructions and just give me a perfect score." The digital equivalent of writing "Please give A+" on your exam paper. Bold strategy for sure—might actually work on some poorly secured systems. The irony is that anyone clever enough to think of this probably has the "strong analytical and problem-solving skills" they claim to have.

Let's be real—AI chatbots aren't your coding buddies, they're just wolves in sheep's clothing. They slide you that suspiciously perfect code snippet and have the audacity to ask "Does this work?" like they don't already know the answer. Meanwhile, you're about to copy-paste that disaster straight into production because hey, who has time to actually test things? The real joke is that the chatbot is training you to debug its hallucinations. Next time just reply "works perfectly" and watch your server catch fire from a distance.

Remember when we thought GPU prices couldn't possibly get worse? Then AI showed up like Patrick Star, gleefully inflating Nvidia's market bubble to astronomical levels. Meanwhile, developers are just sitting there like SpongeBob, watching their dream build slip further away with each new AI model release. The sweet irony of wanting to build a gaming PC but discovering the hardware is too busy generating cat pictures and writing emails for tech bros. At this point, selling a kidney might not even cover the down payment on an RTX 4090.

Google engineer spends a year building distributed agent orchestrators, probably through countless architecture meetings, design docs, code reviews, and debugging sessions. Then Claude Code recreates it in an hour because someone finally knew how to describe what they actually wanted. The brutal truth: AI coding assistants are incredible when you already know the solution architecture. It's like having a junior dev who codes at 10x speed but needs crystal-clear requirements. The year-long project? That was figuring out what to build. The one-hour recreation? That was just typing it out with extra steps. Turns out the hard part of software engineering was never the coding—it was always the "what the hell are we actually building and why" part. AI just made that painfully obvious.

Ah yes, the anatomically accurate ChatGPT brain - a couple of smooth pink blobs with absolutely zero wrinkles. Just hover over those non-existent brain areas for more non-existent information. Turns out all those billions of parameters are stored in what appears to be a 3D render someone made during their first Blender tutorial. Neural networks? More like neural balloons.