Expert attention map

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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Concern & critique Building & implementation Markets & investment Opportunity & adoption
3 live reaction maps in this view Jump to the evidence ↓
Live tension Ai slop books biography amazon Concern & critique · 4 attributable reactions Multiple readings IN THE WEIGHTS 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 Kashmir Hill ×
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.

Established AI field signal Signal 10d ago
⚡ 15 h early

Ai slop books biography amazon

11 experts across 4 network communities independently surfaced this.

11 experts 4 communities 1 sources clustered
Hypervisible Kashmir Hill Sarah T Roberts, PhD Mor Naaman evacide Eileen Clancy 🧿 Woodrow Hartzog Andrew Heiss +3
3 experts discussed this · 12 posts
Kashmir Hill: Got this text a couple months. Had to investigate it. www.nytimes.com/2026/07/16/t...
Salomé Viljoen: Got this text a couple months. Had to investigate it. www.nytimes.com/2026/07/16/t...
Kashmir Hill: To quote myself... "My biography was no 'Fifty Shades.' The only punishing part was reading it."
Open the full discussion →
Primary source nytimes.com ↗
Established AI research Resource 12d ago
⚡ 31 h early
In the Weights newsletter issue

IN THE WEIGHTS

11 experts across 5 network communities independently surfaced this.

11 experts 5 communities 1 sources clustered
Lynn Cherny Kashmir Hill Reuben Binns Dare Obasanjo Ben Williamson Meredith Martin Aram Sinnreich Amanda Tepski +3
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.

“are you in the weights? Hilarious and fascinating including the mess ups intheweights.com”

Concern & critique

1 expert

Risks, limits and unintended consequences.

“LLMs never fail to simultaneously impress and disappoint. Two searches for my name at intheweights.com showing completely different results with one accurate and one containing hallucinations.”

4 experts discussed this · 6 posts
austin: fun? I am in there. intheweights.com
VE, cybersocial occult investigator: Well, my strategy of having an incredibly common wallet name is still rendering me invisible to information systems.
austin: weirdly enough my github handle actually had a better score than my wallet name
Open the full discussion →
Primary source intheweights.com ↗
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
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 ↗