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The Who's Who of AI

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The questions experts are actively pulling apart

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Established Culture, work & education Development 20d ago
⚡ 384 h early
Meta glasses face recognition rollout

Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones

12 experts across 3 network communities independently surfaced this.

12 experts 3 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Policy & governance

1 expert

Rules, institutions and accountability.

“The Meta Ray-Ban creep glasses already have facial-recognition capabilities--Meta just hasn't enabled them yet. www.wired.com/story/meta-s...”

Building & implementation

1 expert

How teams are shipping and applying it.

“While dormant, three AI models — for face detection, cropping, and encoding — have been pushed from Meta's servers. The system is designed to pull faceprints from those servers and store them locally. (Meta says it isn't building a central face database.) w…”

2 experts discussed this · 7 posts
dell cameron: NEW: WIRED analyzed Meta's AI app and found NameTag — a hidden facial recognition system designed to identify people via the wearer's smart glasses — has already shipped to over 50 million phones.
Justin Hendrix: NEW: WIRED analyzed Meta's AI app and found NameTag — a hidden facial recognition system designed to identify people via the wearer's smart glasses — has already shipped to over 50 million phones.
dell cameron: While dormant, three AI models — for face detection, cropping, and encoding — have been pushed from Meta's servers. The system is designed to pull faceprints from those servers and store them local…
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Established Culture, work & education Signal 18d ago
⚡ 409 h early

Artificial Humanities Fictional Perspective on

2 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered

“#CriticalAI4.1, Be sure to check out literary scholar James Dobson's drawing on of AI interdisciplinarian Nina Beguš' work to explain what humanists must do to effectively make sense of gen AI! read.dukeupress.edu/critical-ai/...”

2 experts discussed this · 2 posts
Critical AI https://read.dukeupress.edu/critical-ai/issue: #CriticalAI4.1, Professor James Dobson turns to the work of interdisciplinary AI scholar Nina Beguš to uncover the ways humanists can respond to and make sense of gen AI technologies. read.dukeupre…
Nina Beguš: #CriticalAI4.1, Professor James Dobson turns to the work of interdisciplinary AI scholar Nina Beguš to uncover the ways humanists can respond to and make sense of gen AI technologies. read.dukeupre…
Nina Beguš: The book is 50% off until the end of June: doi.org/10.3998/mpub... Also available under open access and free on Kindle! Another book in this framework, also on sale, is coming out in the fall: essa…
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