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.

2,373 searchable experts 3,451 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
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.

0 live reaction maps in this view

No development in this filter has enough independent reactions yet. The maps appear as soon as the evidence supports them.

What is moving across the network now

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

Developing Models & releases Research 1d ago
LLM linguistic diversity shrinking paper

The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“While core content is retained when LLMs polish and rewrite texts, LLMs also homogenize writing styles, reducing writing-complexity variance ... emphasizing conformity over individuality" arxiv.org/abs/2502.11266”

What experts are discussing without an anchoring article

3 experts · 28 posts · 22h ago
tweety fish: lol I mean come the fuck on man. Of course it fucking is. If you hate AI enough to avoid any software coded using it—fine! supportable! go with god!—then at least use a fucking modicum of critical …
tweety fish: “Wow this would probably take like a hundred+ hours of work if you weren’t using AI and is super polished and elaborate and was made and released on a lark, not going to think about that any furthe…
Open the thread →