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Two 7B models, one consumer GPU. Same hardware, very different things to use. What that actually feels like.

Companies are encoding their best people's capabilities into AI agents. But human traits aren't a parts catalog — the capabilities you want and the ones you'd rather not deal with are often the same gene. Understanding that entanglement is the difference between extracting value and amputating it.

AI didn't target developers because they were easy to replace. It targeted code because compilers give the cleanest feedback signal for reinforcement learning. Developers were collateral damage of a training methodology — and they're just the first rung on a ladder that climbs from verifiable to unverifiable work.

Companies are replacing senior talent with juniors and AI tools. But the most critical knowledge in any organization — the kind that drives real decisions — is invisible to AI entirely.