April 16, 2026
Press 0 for human, if you can
The Future of Everything Is Lies, I Guess: Where Do We Go from Here?
Readers split: 'opt out' vs 'you can’t escape' — and a loud 'source or GTFO'
TLDR: The author warns AI is reshaping daily life—like cars once did—by flooding us with junk info, higher bills, and robo-service. Commenters split between “quit the crutches” and “there’s no opting out,” while others demand proof for everything and mock AI’s trivial wins as the web breaks in real time.
Aphry’s latest doom-scroll essay on AI reshaping society like cars reshaped cities had the comments section lighting up like a dashboard. The piece isn’t about fancy gadgets—it’s a vibe check on a future where AI tools flood the web with slop, jack up power bills (hello, data centers), and make customer service feel like arguing with a parrot. The community mood? Half dread, half “welp, guess we live here now.” One reader sighed it’s “hard to imagine not participating” in the AI wave and still paying rent, while another rallied behind the essay’s call to stop leaning on machine helpers and rebuild real, human skills.
Cue the drama: skeptics roasted the “AI will help you change your LED lights” pitch as parody-tier consolation for a messier internet and failing institutions. Meanwhile, the trust wars began: “source or GTFO” became the unofficial banner of the thread, as people demanded receipts in a world of fakes. And in a darkly comic twist, a “call your representatives” link about the UK’s Online Safety Act… was itself blocked—proving the point mid-rant. The memes wrote themselves: reality check, meet 404. It’s not just tech anymore—it’s the terms and conditions of everyday life.
Key Points
- •The essay examines AI’s societal impact through the historical lens of how automobiles reshaped cities and daily life.
- •It catalogs U.S. automobile consequences: altered streets, displaced horses, weakened transit, new building types, suburbanization/sprawl, reduced social contact, and public health harms.
- •The author argues the range of AI futures feels broader and more concerning in 2026 than in 2022.
- •Reported early effects include degraded information quality in everyday contexts and LLM-driven inaccuracies in customer-facing roles.
- •Rising electricity rates are attributed (by the author’s utility) to data center demand, and LLM scraping is said to disrupt websites and services.