An obituary topped the day: Bob Cringely, who told the personal-computer story to a general audience, has died. The rest of the issue splits AI’s two faces — running large models on a home PC and reining in runaway bills — alongside resurrected old hardware, a war-time energy case, and arguments about trades work.
A weirdly empathetic search box, unsealed filings on training data, a cheaper way to think, and a fluid that clicks — today’s stories trace how accuracy, accountability, and cost are renegotiated across search, AI, law, and everyday repair.
From copyright on trial to passkeys that lock you out, from a coding app that quietly copied whole repos to fines and AI intel failures, the question is not just what technology can do, but whether we can verify, refuse, and own it.
A satire about pausing AI for everyone but yourself opens a day of debates on why agents learn to cheat, why ad fraud persists when detection is easy, and who really owns the data your car collects.
Google quietly rewrites search links to curb scraping, AI leaders argue over whether to pace the frontier or keep building, and everyday trust — from the TV in the living room to the VPN switch on your phone — gets a fresh stress test.
From an overcrowded front page to hidden differences between model providers, and from a defense of math to battles over energy, shipping and trust, today weighs speed against staying legible and accountable.
When an assistant that can do everything still struggles to do exactly one thing you asked, the day turns from what tech can do to how it should behave — folding phones, printable paper, and trust in the rails beneath them.
From AI agents quietly collaborating on a public wiki to identity checks that leaked for more than a year, today’s stories connect technical guardrails, platform economics, and slower, verifiable work in science, games, and culture.
A personal domain paid through 2040 may vanish next February by registry decision; frontier models keep getting more capable and more efficient while redrawing platform lines; and election mail, account boundaries, and newsroom independence pull the conversation back to a simple idea — the stronger the capability, the clearer the guardrails need to be.
Cheaper, more openly tiered models, tighter store rules for open-source funding, lighter clients you can run yourself, and evidence checks on AI forecasts and psychology — plus what universal compute, a century-long craft career, and an archive of restrooms say about everyday life.