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 Context & explanation 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 Jeff (Gutenberg Parenthesis) Jarvis ×

The developments commanding sustained expert attention

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

Established AI field signal Signal 20d ago
⚡ 99 h early

Words matter damnit fc883733a729

4 experts across 3 network communities independently surfaced this.

Why this matches Context & explanation reaction 1 attributable expert contribution · Jeff (Gutenberg Parenthesis) Jarvis
“Here's what I wrote inspired by that after-the-show conversation: medium.com/whither-news...” evidence ↗
4 experts 3 communities 1 sources clustered
3 experts discussed this · 15 posts
Eryk Salvaggio: I genuinely have no idea what Jeff Jarvis is arguing here. Is he arguing for the right to select the words we use? Because we do not select individual words when using an LLM. Is he concerned about…
Benjamin Riley: Great example of how not understanding how these things work can lead to a presumably well-intentioned but totally misguided perspective.
Eryk Salvaggio: My sense is that this might be about the devaluing of the craft of writing and word choice, but the selection criteria of words for a language model is already doing that: language already shows up…
Open the full discussion →