Meta and the Battle for Smart Glasses | Prize on the Eyes | 1
Business Wars
Audible
4.6 • 13.5K Ratings
🗓️ 3 June 2026
⏱️ 50 minutes
🧾️ Download transcript
Summary
It’s 2011, and two Stanford students have built eyeglasses with a tiny camera inside. Their a prototype paves the way for Meta Ray-Bans, the first tech-enabled eyewear to truly go mainstream after attempts like Google Glass fizzled. But in integrating their smart glasses into our daily lives, Meta has created something else: a tool for mass surveillance.
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Transcript
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| 0:00.0 | Audible subscribers can listen to all episodes of business wars ad-free right now. |
| 0:06.0 | Join Audible today by downloading the Audible app. |
| 0:24.0 | It's 2025 in Nairobi, Kenya. |
| 0:28.7 | A data labeler clocks in for his shift and lets out a heavy sigh. |
| 0:31.7 | He does not want to be here this morning. |
| 0:37.5 | He walks into a large room lined with rows of workers tapping away at computer terminals. |
| 0:48.0 | He logs in, opens a program, and starts to watch a woman get undressed. She seems totally unaware that anyone might be viewing her, but this data worker can see everything because the video is being streamed live from a pair of meta-glasses sitting on her nightstand, a continent away. |
| 1:03.0 | The Kenyan man works for a data labeling company called Sama, a corporation that supplies the human labor behind the so-called autonomous machine |
| 1:13.0 | learning at the heart of AI. Every day, in 10-hour shifts, his job is to review unfiltered video |
| 1:21.3 | content and label what he sees by drawing bounding boxes around the images on the screen. He draws one box around a cluster |
| 1:30.4 | of pixels and labels it a lamp. He draws another box and labels that a bookcase. He's training |
| 1:37.6 | the AI to recognize everyday items so the algorithm can get better at doing it in the future. |
| 1:44.6 | The labeling work is low-paid and repetitive, but that isn't the worst part, because this man |
| 1:51.6 | doesn't just see lamps and bookcases. He often finds himself reviewing sensitive or graphic |
| 1:57.9 | video content, like the woman undressing. |
| 2:01.6 | He sees strangers' credit card numbers. |
| 2:03.6 | He sees people having sex. |
| 2:05.6 | He even sees crimes being committed. |
| 2:08.6 | All of it captured in first-person video, |
| 2:12.6 | streamed by the people who have no idea they're broadcasting their lives to the cloud, much less that it's |
| 2:19.0 | being reviewed by a human. And more and more of this footage now seems to be coming from |
| 2:25.0 | one device, meta's rayband glasses. You might know them as meta smart glasses or meta-AI |
... |
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