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There Will Be More Programmers, Not Fewer
AI won't reduce the number of programmers. It will create millions more, because running code you cannot understand is not programming. It is faith. Part I — The Hypothesis The Democratization Arc, and What It Actually Produced. The prevailing narrative about AI and programming runs like this: LLMs will
The Understood-Understanding Gap: Why LLMs Hit a Wall
Large Language Models have become ubiquitous in knowledge work, yet a curious pattern has emerged. Talk to consultants at McKinsey, BCG, Bain, and you'll hear the same refrain: "I don't really know how I can leverage AI to boost my productivity beyond research and brainstorming.
The Shared Delusion: Both doomers and dreamers assume current technology leads to AGI. They’re both wrong
Excel didn’t kill accountants; it gave them better tools. Yet, with AI, we’ve abandoned this logic in favor of a collective fantasy. We’re treating a sophisticated calculator as a human replacement rather than a human multiplier. The reason for this shift is the "2-to-5-year" horizon.
The Ultimate Hammer: Why Programmers Can't See Beyond Computation. A Dialogue.
We assume intelligence is computable not because we’ve proven it, but because we’ve lost the ability to conceptualize it any other way. We are no longer using computation to model reality; we are forcing reality to fit the model. * Alex: Senior engineer at a leading AI lab, 15