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.

2,397 searchable experts 4,280 tracked across all sources
Filter the conversation Who is saying what?

Combine a professional role with a reaction lens. Both must match the same attributed contribution.

Clear all
Active evidence filter

Showing developments with attributable Concern & critique reactions.

New Network reaction maps

See how experts are reacting—not just what they shared.

Posts are grouped by conversation and tone. Select a lens to filter the stream; these are never permanent labels on people.

Showing signals surfaced by Amanda Tepski ×

What is moving across the network now

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

New AI field signal Signal 8h ago

papers.ssrn.com

4 experts across 2 network communities independently surfaced this.

Why this matches Concern & critique reaction 1 attributable expert contribution · Woodrow Hartzog
“I have posted a new draft w/ @jessicasilbey.bsky.social titled "AI Slop." We argue that "AI slop" isn't just slang. It's useful for distinguishing between cheap and dangerous AI output and the kinds of meaningful human authorship that strengthen our cultura…” evidence ↗
4 experts 2 communities 1 sources clustered
New Culture, work & education Research 13h ago
⚡ 55 h early
Pew Research Americans AI views 2026

Americans and AI 2026: Chatbots, Smart Devices and Views on Impact

6 experts across 3 network communities independently surfaced this.

Why this matches Concern & critique reaction 1 attributable expert contribution · Emily Hunt
“~50% of people (in the US) use LLMs regularly, and this has only been increasing more over time. These products are already somewhat ingrained in society, and informing people about the risks and issues with tools that they are attached to does not work if …” evidence ↗
6 experts 3 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“~50% of people (in the US) use LLMs regularly, and this has only been increasing more over time. These products are already somewhat ingrained in society, and informing people about the risks and issues with tools that they are attached to does not work if …”

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“"More Americans are using chatbots, and some are adopting AI summaries and smart speakers. But views about AI and how fast it’s advancing tilt negative – even for younger adults" www.pewresearch.org/internet/202...”

Established AI field signal Development 4d ago
⚡ 3 h early
Texas police AI-written abortion report

Texas Police Used AI to Write Report About Using Flock to Search for Woman Who Had Abortion

5 experts across 3 network communities independently surfaced this.

Why this matches Concern & critique reaction 1 attributable expert contribution · 404 Media
“The incident shows how quickly police departments have come to use AI surveillance tools even in critically sensitive cases” evidence ↗
5 experts 3 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“The incident shows how quickly police departments have come to use AI surveillance tools even in critically sensitive cases”

Policy & governance

1 expert

Rules, institutions and accountability.

“New from 404 Media: the Texas police who used Flock to track a woman who self-administered abortion also used AI to write their report about the whole situation. They used AI to summarize a discussion of “the legal implications of the situation.” www.404med…”