<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Society on Yongjie Xue</title><link>https://www.yongjiexue.io/tags/society/</link><description>Recent content in Society on Yongjie Xue</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 08 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.yongjiexue.io/tags/society/index.xml" rel="self" type="application/rss+xml"/><item><title>$10 Million for an Airline's Entire Memory</title><link>https://www.yongjiexue.io/ai/google-spirit-data/</link><pubDate>Thu, 08 Oct 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/ai/google-spirit-data/</guid><description>At a bankruptcy auction, Google bid $10 million for 600 million Spirit Airlines employee emails and chat messages to train AI, and more than 100 members of Congress want it stopped. The public internet is nearly mined out; the next seam is the inboxes of dead companies — and bankruptcy law gives customers a privacy ombudsman but gives employees nobody.</description></item><item><title>Nobody Gave a Number: Big AI Testifies Under Oath in New York</title><link>https://www.yongjiexue.io/ai/nyc-council-ai-oath/</link><pubDate>Mon, 05 Oct 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/ai/nyc-council-ai-oath/</guid><description>OpenAI, Anthropic, Google and Meta testified under oath before the New York City Council, and none of them would put a number on worst-case catastrophic risk. An industry that cannot give a number cannot grade itself — so New York plans to grade it with four tools: third-party validation, disclosure, liability and whistleblowers.</description></item><item><title>The World in Ten Years: What Gets Cheap, What Gets Expensive</title><link>https://www.yongjiexue.io/ai/ai-after-10-years/</link><pubDate>Sun, 16 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/ai/ai-after-10-years/</guid><description>Starting with the price curve of AI inference, this essay projects how the world will be repriced by 2036: intelligence will become as cheap and ubiquitous as electricity, while electricity itself, trust, accountability, attention, physical presence, and judgment become the truly scarce goods.</description></item><item><title>AI Is Bringing Down the Scaffolding of Trust</title><link>https://www.yongjiexue.io/ai/ai-trust-issue/</link><pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/ai/ai-trust-issue/</guid><description>The most dangerous change in the AI era is not that machines can write articles, draw images, or generate video. It is that content itself is losing its standing as evidence.</description></item><item><title>When AI Gets the Power to Gridlock a City</title><link>https://www.yongjiexue.io/cloud/robo-clog/</link><pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/cloud/robo-clog/</guid><description>On the night of March 31, a large number of Apollo Go robotaxis in Wuhan failed at the same time. The real concern is not merely that autonomous driving failed, but that a centrally controlled, cloud-based architecture may amplify a single-vehicle failure into a city-scale systemic risk.</description></item><item><title>A New Year—and What AI Will Change</title><link>https://www.yongjiexue.io/ai/new-year-ai-change/</link><pubDate>Tue, 17 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/ai/new-year-ai-change/</guid><description>AI is reshaping knowledge work far faster than historical experience would suggest. The real challenge is not whether you know how to use AI, but whether you can retool your thinking and skills before the adjustment window closes.</description></item><item><title>Dongchedi Just Exposed “Smart Driving.” Where’s Our Dongku-Di?</title><link>https://www.yongjiexue.io/db/car-autopilot-test/</link><pubDate>Sat, 26 Jul 2025 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/db/car-autopilot-test/</guid><description>Imagine a “closed-course” shootout for domestic databases and clouds, the way Dongchedi just humiliated 30+ autonomous cars. This industry needs its own stress test.</description></item></channel></rss>