Backpropogation sucks the most

The eternal developer dilemma: why complete a task in seconds when you can spend an entire workday crafting an elaborate automation script that you'll use exactly once? It's not laziness—it's tactical inefficiency . Sure, the math doesn't add up (10 seconds vs. 10 hours), but that's not the point. The point is that we'd rather solve an interesting programming challenge than do a mundane task. Somewhere, a project manager just felt a disturbance in the force. And yes, we'll absolutely claim it was "for future scalability" in the sprint retrospective.

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Modern problems require modern solutions! The tweet perfectly captures the chaotic reality of AI-driven development in 2024. Instead of actually writing code, our protagonist is running a parallel tournament of AI models (ChatGPT, Gemini, Claude, Grok, and DeepSeek) and letting them duke it out for supremacy. The punchline "It's me" hits hard because secretly, many of us have done this exact algorithmic gladiator match when faced with a tricky problem. Who needs Stack Overflow when you can make five AIs fight to the death for your approval? The brutal efficiency of this approach is both genius and slightly unhinged—exactly how the best code gets written.

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