The classic scientific imposter syndrome strikes again. In a field where everyone tosses around "+AI" like they've been neural networking since kindergarten, there's that moment when you realize you've nodded through 17 consecutive meetings without understanding a single algorithm. The fear of asking "what does that mean?" grows exponentially with each passing day - much like the computational requirements of those AI models nobody actually understands.
The Artificial Intelligence Knowledge Gap

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