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The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

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Showing developments with attributable Policy & governance reactions.

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Policy & governance Building & implementation Research & technical analysis
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Multiple readings Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius Research & technical analysis · 3 attributable reactions Multiple readings Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones Policy & governance · 2 attributable reactions
Showing signals surfaced by dell cameron ×
Debated

The questions experts are actively pulling apart

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

Developing AI field signal Development 1d ago
⚡ 2 h early
Suno AI music scraping revealed hack

Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius

10 experts across 4 network communities independently surfaced this.

Why this matches Policy & governance reaction 1 attributable expert contribution · Mark Riedl
“Hack reveals that Suno (AI music generator) was trained on copyrighted music www.404media.co/hack-reveals...” evidence ↗
10 experts 4 communities 1 sources clustered
Mark Riedl 404 Media Eryk Salvaggio Joseph Cox Jason Koebler dell cameron Marielza Ben Winters +2
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Research & technical analysis

2 experts

Evidence, methods and technical implications.

“Interesting to see exactly where Suno's training data came from.”

Policy & governance

1 expert

Rules, institutions and accountability.

“Hack reveals that Suno (AI music generator) was trained on copyrighted music www.404media.co/hack-reveals...”

2 experts discussed this · 25 posts
Jason Koebler: Scoop: The AI music generator Suno was hacked. Hacker shared source code that shows how the tool was made and part of the music and podcasts that were scraped to create it. Decades worth of music, …
Jason Koebler: Suno also scraped episodes from roughly 420,000 different podcasts, which was at least ~1 million hours of audio. They had code that specifically sought acapella versions of songs on YouTube for vo…
Jason Koebler: Customer emails/phone numbers & Stripe payment details were also hacked; no one was ever notified because the company deemed it wasn't important to
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Primary source 404media.co ↗
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.

Why this matches Policy & governance reaction 1 attributable expert contribution · evacide
“The Meta Ray-Ban creep glasses already have facial-recognition capabilities--Meta just hasn't enabled them yet. www.wired.com/story/meta-s...” evidence ↗
12 experts 3 communities 1 sources clustered
Justin Hendrix Kashmir Hill dell cameron evacide Katie Drummond Eileen Clancy 🧿 Critical AI https://read.dukeupress.edu/critical-ai/issue Andrew Couts +4
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…
Open the full discussion →
Primary source wired.com ↗