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A World Without E-mail: One Man's Vision of a Social Workplace - 0 views

mashable.com/...world-without-email

ITGS world without email SOCIAL

shared by dr tech on 05 Sep 10 -

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Techniques for reliably fooling AI machine-vision classifiers / Boing Boing - 0 views

boingboing.net/...y-cat-vs-desktop-computer.html

ITGS ai reliability peopleandmachines

shared by dr tech on 19 Jul 17 - No Cached

dr tech on 19 Jul 17

"The Open AI researchers were intrigued by a claim that self-driving cars would be intrinsically hard to fool (tricking them into sudden braking maneuvers, say), because "they capture images from multiple scales, angles, perspectives, and the like.""

<div class="cArrow"> </div><div class="cContentInner">"The Open AI researchers were intrigued by a claim that self-driving cars would be intrinsically hard to fool (tricking them into sudden braking maneuvers, say), because "they capture images from multiple scales, angles, perspectives, and the like.""</div>

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How AI-generated content is upping the workload for Wikipedia editors | TechCrunch - 0 views

techcrunch.com/...workload-for-wikipedia-editors

DS ITGS algorithms wikipedia change ai llm authenticity

shared by dr tech on 16 Oct 24 - No Cached

dr tech on 16 Oct 24

"In addition to their usual job of grubbing out bad human edits, they're having to spend an increasing amount of their time trying to weed out AI filler. 404 Media has talked to Ilyas Lebleu, an editor at the crowdsourced encyclopedia who was involved in founding the "WikiProject AI Cleanup" project. The group is trying to come up with best practices to detect machine-generated contributions. (And no, before you ask, AI is useless for this.)"

<div class="cArrow"> </div><div class="cContentInner">"In addition to their usual job of grubbing out bad human edits, they're having to spend an increasing amount of their time trying to weed out AI filler. 404 Media has talked to Ilyas Lebleu, an editor at the crowdsourced encyclopedia who was involved in founding the "WikiProject AI Cleanup" project. The group is trying to come up with best practices to detect machine-generated contributions. (And no, before you ask, AI is useless for this.)"</div>

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