Deep Learning: You're Doing It Literally

The classic Java rebrand joke strikes again! Someone innocently asks if Java 25 has AI capabilities that let it program itself, and the reply is pure gold. "Yes, Java 25 is actually similar to Java 8 in that it will once again do a rebrand. It is now called jAIva 25 and introduces a new VM called jVLLMLM." The punchline brilliantly mocks Java's history of rebranding (remember the Oracle acquisition drama?) while simultaneously poking fun at the AI hype with that ridiculous VM name - jVLLMLM is basically jamming together "JVM" with "LLM" (Large Language Model) into an unpronounceable tech soup that would make any product manager swoon. The perfect intersection of programming language jokes and AI buzzword satire!

The AUDACITY of these AI models! 💅 Ask them anything slightly outside their training data and suddenly they transform into the most CONFIDENT FICTION AUTHORS on the planet! "Random bullshit go!!!" is literally their entire business strategy when cornered. It's the digital equivalent of that one friend who'd rather DIE than admit they don't know something. "What's the capital of Narnia? Oh it's OBVIOUSLY Aslanville, population 42 million, famous for its underwater skyscrapers." And they say it with their WHOLE CHEST too! 🙄

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.

Why reinvent the wheel with AI when you can participate in the grand tradition of code inheritance? The sacred lineage of copy-pasting that traces back to the original Stack Overflow prophets. Sure, AI might generate something "original," but there's an undeniable elegance to using code that's been battle-tested through generations of theft. It's not plagiarism—it's vintage sourcing with historical significance. The circle of code life continues, and somewhere, an Indian tech specialist is silently nodding in approval while their solution powers half the internet.

Remember when code reviews meant finding your coworker's spaghetti logic and passive-aggressive variable names? Now it's just you, questioning your existence while scrutinizing AI-generated code that's somehow both flawless and completely nonsensical. The modern code reviewer: frantically Googling obscure algorithms at 2 AM because you can't tell if GitHub Copilot is brilliant or hallucinating. "Is this O(log n) solution actually genius or am I being gaslit by a language model that learned to code from Stack Overflow?" Nothing grinds your gears quite like spending your precious human life debugging code written by a machine that doesn't even get tired or need coffee breaks.

Turns out both chefs and AI "developers" are just throwing ingredients together and hoping something edible comes out. The difference? Chefs actually know what basil is. Ten years of writing clean, maintainable code just to be replaced by someone who knows how to type "make me a full-stack app with blockchain integration" into a text box. At least the spaghetti I'm eating tastes better than the spaghetti code these AI tools are churning out.