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.

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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 Lynn Cherny ×

The developments commanding sustained expert attention

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

Established Models & releases Release 16d ago
⚡ 15 h early

EmbeddingGemma 2: an open, lightweight multimodal embedding model

4 directory members surfaced this signal.

4 experts 1 community 1 sources clustered
How the network is reacting 2 experts are emphasizing building & implementation.
Shared emphasis

Building & implementation

2 experts

How teams are shipping and applying it.

“Read the blog for all the details, dive into the docs, and start building today: https://t.co/UVpgDrXvvV”

Established AI field signal Resource 7d ago
Lynn Cherny AI highlights newsletter

Things I Think Are Awesome | Lynn Cherny | Substack

2 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered

“Things I Think Are Awesome by @arnicas.bsky.social – roundups of creative AI and other tech in the creative/game/elit/art spaces”

2 experts discussed this · 2 posts
Meredith Martin: this is all @arnicas.bsky.social !!! Not me!
Lynn Cherny: arnicas.substack.com 😅
Open the full discussion →
Established AI field signal Resource 13d ago
Annotate.js annotation tool

Annotate.js — turn any website into a review board

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered

“i’ve been loving annotate.js i have agents generate html, which is a great way to get visual explanations, and then have them slip in a CDN reference to annotate.js this answers the problem with HTML: people can add comments and export it and send you a jso…”