AI Doesn't Work vs. AI Is Amazing—Same Mistake

AI 不 work，和 AI 真香，是同一个错

The article uses two engineers' opposite takes on AI to argue they both treat their current jobs as fixed benchmarks without asking whether the complexity comes from technical depth or organizational overhead. It cites Chen Ran's case of disbanding a 20-person team and rewriting services, noting that much complexity inside big tech is internally generated and vanishes outside. The advice: build small projects in public to touch the parts big tech shields you from, figure out whether your complexity is worth paying for, then judge AI. The post doesn't spell out the exact date or background details of Chen Ran's article.

Why it matters: A sharp opinion piece backed by a concrete case study. Hits all three HKR axes, earns featured tier. Capped at 78 because it's commentary rather than a product launch or research release—strong signal within that category.