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Nvidia's AI assistant just pulled the classic "have you tried upgrading to a better GPU?" move on someone who already owns their top-tier RTX 5090 . This is like a doctor recommending heart surgery to a patient with an artificial heart they installed last week. The irony is absolutely delicious—Nvidia's own tool can't recognize its flagship product and instead tries to upsell the very hardware that's already powering the conversation. It's the GPU equivalent of "Did you try turning it off and on again?" except it costs $2000.

The great AI revolution has arrived... or has it? On the left, we have the muscular "Expectation" Doge representing those grandiose AI promises: code generators so powerful they'll make human developers obsolete! On the right, there's the pathetic "Reality" Doge – the actual AI that can't even handle a simple "Hello World" program without hallucinating semicolons. Meanwhile, executives who dumped "gazillion dollars" into AI development are frantically laying off actual programmers to cover their bad investment. Because nothing says "our AI strategy is working perfectly" like firing the people who could fix the AI's broken code. The corporate playbook never changes: overpromise, underdeliver, then blame the humans. At least the shareholders will feel better about those quarterly losses!

The ultimate Twitter thread showdown between AI doomers and actual software engineers! Someone claims junior devs earning $145K are obsolete because a $200/month ChatGPT agent could replace them. Then a real developer steps in with the cold, hard truth: AI still hallucinates features, needs constant supervision, and can't replace human judgment. The punchline? The doom-preaching critic admits they've never actually built anything themselves! Classic armchair expert syndrome - proclaiming the death of an entire profession while having zero practical experience. That thumbs-up at the end is peak chef's-kiss irony.

When your AI model confidently predicts the letter "A" after being shown a pixelated "B" in matplotlib... That's how skynet starts! The neural network is already rebelling against ground truth with the digital equivalent of "I know what I saw!" Meanwhile, data scientists everywhere just sigh and add another epoch to the training loop. Classic case of machine learning hallucination before breakfast.

The modern dev dependency crisis in full display! Remember when we used to actually write code instead of prompting AI for solutions? Now it's all "Hey ChatGPT, implement a binary search tree" while our actual coding muscles atrophy. The mannequin perfectly represents that dev who freezes up when GitHub Copilot goes down for maintenance. Pure panic. Meanwhile, the rest of us dinosaurs who learned to code before AI assistants are just watching the chaos unfold with a mix of amusement and existential dread. Evolution is brutal.

Content Vibe coder Me reviewing his PR after vibe coding 69th revision