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
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 Marzena Karpinska ×

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 research Research 8d ago
⚡ 174 h early

IdeaLens: Detecting AI Ideas in Long-form Writing

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered
How the network is reacting 2 experts are emphasizing research & technical analysis.
Shared emphasis

Research & technical analysis

2 experts

Evidence, methods and technical implications.

“and of course you get all the usual: Paper: arxiv.org/abs/2610.06778 Models & Datasets: hf.co/collections/... Github: github.com/RishanthRaje... PyPi: pypi.org/project/idea... + You can test both detectors on Tinker API for as low as $1 for 1K documents.”

Established AI field signal Resource 8d ago
IdeaLens AI text detection tool

IdeaLens: is this text human or AI?

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“For a limited time, we are releasing a demo of #IdeaLens and #ProseLens, so try it out! ideadetector.ai”

“Is this idea from AI or humans? A detector claims it can tell www.nature.com/articles/d41... ideadetector.ai”

Established AI field signal Resource 15d ago

GitHub - RishanthRajendhran/IdeaLens: Detect whether a document's ideas came from a person or an AI model: the idealens Python package

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“and of course you get all the usual: Paper: arxiv.org/abs/2610.06778 Models & Datasets: hf.co/collections/... Github: github.com/RishanthRaje... PyPi: pypi.org/project/idea... + You can test both detectors on Tinker API for as low as $1 for 1K documents.”

Established AI field signal Resource 15d ago

Client Challenge

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“and of course you get all the usual: Paper: arxiv.org/abs/2610.06778 Models & Datasets: hf.co/collections/... Github: github.com/RishanthRaje... PyPi: pypi.org/project/idea... + You can test both detectors on Tinker API for as low as $1 for 1K documents.”

Established AI field signal Resource 15d ago

IdeaLens - a rishanthrajendhran Collection

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“and of course you get all the usual: Paper: arxiv.org/abs/2610.06778 Models & Datasets: hf.co/collections/... Github: github.com/RishanthRaje... PyPi: pypi.org/project/idea... + You can test both detectors on Tinker API for as low as $1 for 1K documents.”

What experts are discussing without an anchoring article

3 experts · 11 posts · 14d ago
Multiple readings Concern & critique · 1 Research & technical analysis · 1
Ted Underwood: This is complex — and likely a bit fragile — but very cool. Actually less interested in the ostensible end goal (Pangram for Ideas) and more in the problems you have to solve to get there (separati…
Ted Underwood: There's some crazy stuff in the ablations. The order of elements has almost no significance. The "discourse roles" they infer? Not load-bearing. You can remove them. On the other hand, it's possibl…
Open the thread →