Mon. 08/16 - Eerily Accurate 1990s Predictions of Current Tech Dangers
Cool Stuff Daily
Reggie Risseeuw and Marques Pfaff
4.6 • 739 Ratings
🗓️ 16 August 2021
⏱️ 18 minutes
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| 0:00.0 | Welcome to the Kotke Ride Home for Monday, August 16th, 2021. |
| 0:10.5 | I'm Jackson Bird. Today, how one of the earliest bloggers predicted the dark side of the internet |
| 0:17.2 | and then went completely off-grid. Plus, the first tribally affiliated medical school on tribal land in the U.S. is bridging gaps, |
| 0:28.4 | and Yikyak is back. |
| 0:31.1 | Here are some of the cool things from the news today. |
| 0:36.3 | In the early 90s, one man predicted much of what would befall us today. In the early 90s, one man predicted much of what would befall us today, but pretty much |
| 0:42.7 | no one listened to him. |
| 0:44.4 | He wasn't just some dude who wrote a manifesto or something. |
| 0:47.7 | He was a sought-after academic, a computer scientist who had become a humanities professor. |
| 0:52.6 | His warnings about the direction |
| 0:54.6 | technology was headed were published in academic journals and outlets like Wired. He even ran an |
| 1:00.7 | internet mailing list, the Red Rock Eater News Service, which basically functioned like a newsletter |
| 1:05.6 | does today and is often considered a proto blog. His name is Philip Agra, and as far as we know, he's still |
| 1:13.2 | around, but his work remains unfinished, and his warnings about the future are only beginning |
| 1:18.8 | to be taken seriously, as that future has mostly already come to pass. Here are some of his |
| 1:25.3 | predictions summarized in a recent article in the Washington Post. |
| 1:28.7 | Quote, |
| 1:29.4 | In a 1994 paper published a year before the launches of Yahoo, Amazon, and eBay, |
| 1:35.0 | AgriFor saw that computers could facilitate the mass collection of data on everything in society, |
| 1:41.4 | and that people would overlook the privacy concerns because rather than |
| 1:45.3 | Big Brother collecting data to surveil citizens, it would be many different entities collecting |
| 1:50.8 | the data for lots of purposes, some good and some problematic. More profoundly, though, |
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