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
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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.

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The developments commanding sustained expert attention

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

Established Agents & robotics Signal 6d ago
⚡ 90 h early

Accurate but Not Humble: Evaluating Epistemic Humility in LLM Agents under Knowledge Conflict

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered
Kaiser Sun Jerry Spanakis 🟥

“If an LLM agent notices conflicts, will it tell you? Our #EMNLP2026 Findings paper finds that higher accuracy doesn't always mean greater epistemic humility: agents can spot conflicts early yet leave uncertainty out of wrong answers. 📄 arxiv.org/abs/2610.12…”

Primary source arxiv.org ↗
Established Agents & robotics Signal 6d ago
⚡ 90 h early

Accurate but Not Humble: Evaluating Epistemic Humility in LLM Agents under Knowledge Conflict

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered
Kaiser Sun Jerry Spanakis 🟥

“If an LLM agent notices conflicts, will it tell you? Our #EMNLP2026 Findings paper finds that higher accuracy doesn't always mean greater epistemic humility: agents can spot conflicts early yet leave uncertainty out of wrong answers. 📄 arxiv.org/abs/2610.12…”

Primary source arxiv.org ↗