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 Research & technical analysis 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.

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.

Showing signals surfaced by Luis Villa ×

What is moving across the network now

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

Established Evaluation & benchmarks Signal 3d ago
⚡ 5 h early

GitHub - pardissz/fairstress: Code for "Asymmetrically Unfair Decision Making and Reasoning in LLMs" (FairStress benchmark, scoring, debiasing methods, figures)

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Ai2
“Today we’re introducing FairStress, a benchmark for testing demographic fairness beyond a model’s final answer: how readily it changes a well-supported decision & how it explains its choice. 🧵 buff.ly/lWsW77r” evidence ↗
2 experts 1 community 1 sources clustered

“Today we’re introducing FairStress, a benchmark for testing demographic fairness beyond a model’s final answer: how readily it changes a well-supported decision & how it explains its choice. 🧵 buff.ly/lWsW77r”

Established Evaluation & benchmarks Signal 3d ago

GitHub - pardissz/fairstress: Code for "Asymmetrically Unfair Decision Making and Reasoning in LLMs" (FairStress benchmark, scoring, debiasing methods, figures)

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Ai2
“Today we’re introducing FairStress, a benchmark for testing demographic fairness beyond a model’s final answer: how readily it changes a well-supported decision & how it explains its choice. 🧵 buff.ly/lWsW77r” evidence ↗
2 experts 1 community 1 sources clustered

“Today we’re introducing FairStress, a benchmark for testing demographic fairness beyond a model’s final answer: how readily it changes a well-supported decision & how it explains its choice. 🧵 buff.ly/lWsW77r”