There's No "Going Back": On the receding horizons of the AI transition

The piece argues that generative AI is becoming as infrastructural as the automobile or smartphone, reshaping what it means to think, work, and make. It documents how AI already erases vernacular forms - like sloppy AI-generated food illustrations plastering NYC bodegas - and how nostalgia will eventually form for pre-AI subjectivities that are no longer reproducible. Early model aesthetics are being archived and fetishized, but practical life and professions are changing now: universities wrestle with students and faculty using AI as middleware, and high-profile technical work (including an opaque, heavily resourced effort on a millennium math problem) exposes the risk that machine-assisted solutions bypass human intelligibility and pedagogical value.

The writing shows how standardization follows adoption: many creators feed content through the same frontier models, producing a convergent, bland “Airbrain” tone and diminishing idiosyncratic authorship. The shared mental space of public discourse is becoming saturated with machine-speech, raising urgent governance questions about where and how machine mediation is permissible. One reliable signal of unaided authorship will be in-person exchange, but broader communal norms and institutions are required to protect cognitive independence. The conclusion is a call to collective action: name the hazards, build language and practices, and steward the transition rather than simply surrendering thinking to silicon scaffolding.