We Have Achieved AGI

The eternal tensor definition debate, visualized with meme dogs. Mathematicians (buff doge) see tensors as abstract algebra constructs. Physicists (regular doge) just shrug and say "it transforms like one." Meanwhile, ML engineers (tiny doge) reduced the whole concept to "fancy arrays." The reply below perfectly captures the frustration: "brother, just get the &[T] and move on with your life." Centuries of mathematical theory reduced to a Rust slice reference. Progress?

Oh look, it's the classic government approach to AI problems! Got a burning dumpster fire of technical debt and legacy systems? Just hose it down with taxpayer money and hope the flames turn into innovation! The two officials here are literally shoveling cash at what appears to be a raging inferno labeled "AI" like that's somehow going to magically solve everything. Because nothing says "well-thought-out technology strategy" quite like panic-funding without understanding the actual problem. Spoiler alert: throwing money at AI without proper infrastructure, talent, or strategy is like trying to water a plant with gasoline. Sure, you're giving it *something*, but you're probably just making the fire worse. But hey, at least the budget report will look impressive!

The classic "change my mind" format gets an AI twist. Guy's sitting there with his coffee, confidently declaring AI won't steal jobs—but with that crucial asterisk that people who actually know how to integrate it will be the ones doing the stealing. Meanwhile, there's literally an "Eden AI" paper on his table and a robot lurking in the background. The irony is thicker than legacy code comments. It's the perfect representation of the current tech landscape: those panicking about AI replacing developers versus those quietly building automation tools that make three developers do the work of thirty.

Modern problems require modern solutions! This dev is playing 5D chess with AI - opening tabs for ChatGPT, Gemini, Claude, Grok, and DeepSeek to ask them all the exact same coding question. Then the real programming begins: copy-paste each AI's answer into separate Python files, run them all, and cherry-pick the winner. It's basically Hunger Games for AI models. The ultimate "why debug your own code when you can make five AIs fight to the death for the correct solution?" approach. Bonus points for efficiency - why spend hours on Stack Overflow when you can delegate your decision paralysis to multiple neural networks simultaneously?

Ah yes, the "innovative" AI startup landscape. Buzz Lightyear proudly announcing a "totally unique LLM use case" while the shelves below reveal the harsh truth: it's just ChatGPT API with a wrapper. Like claiming you invented the sandwich when all you did was buy bread from the store and put your logo on the packaging. The Silicon Valley special - repackaging someone else's technology and calling it revolutionary. The digital equivalent of putting racing stripes on a Honda Civic and calling it a Ferrari.

The AI hype cycle speedrun, perfectly captured in four stages of clown makeup. Started with the promise that AI would revolutionize everything, got seduced into thinking you could skip fundamentals and just prompt your way to a senior dev salary. Then reality hit: those "free" AI tools either got paywalled harder than Adobe Creative Cloud or started running slower than a nested loop in Python. Now you're sitting there with zero transferable skills, a LinkedIn full of AI buzzwords, and the crushing realization that "prompt engineer" isn't actually a career path. The kicker? While you were vibing, the devs who actually learned their craft are still employed. Turns out you can't Ctrl+Z your way out of not knowing how a for-loop works.