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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Showing developments with attributable Building & implementation 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.

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

New & accelerating

What is moving across the network now

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

New AI business Signal 3h ago

Atlas: Making Sense of Long Horizon Agent Trajectories

1 directory member surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · AI Firehose
“Introducing Atlas, a new workspace that enhances comprehension of AI-generated workflows. By linking goals, decisions, and artifacts through a trajectory tree, Atlas improves transparency and artifact sensemaking, reducing cognitive workload. https://arxiv.…” evidence ↗
1 expert 1 community 1 sources clustered
AI Firehose

“Introducing Atlas, a new workspace that enhances comprehension of AI-generated workflows. By linking goals, decisions, and artifacts through a trajectory tree, Atlas improves transparency and artifact sensemaking, reducing cognitive workload. https://arxiv.…”

Primary source arxiv.org ↗
New AI business Signal 5h ago

LACToS: Local Anomaly Detection via Conditional Typicality of Superpixels

1 directory member surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · AI Firehose
“Researchers developed LACToS at Georgia Tech and Stanford, a local anomaly detection method using superpixels and statistical typicality. LACToS exceeds existing methods, efficiently identifying inconsistencies while handling complex inlier distributions. h…” evidence ↗
1 expert 1 community 1 sources clustered
AI Firehose

“Researchers developed LACToS at Georgia Tech and Stanford, a local anomaly detection method using superpixels and statistical typicality. LACToS exceeds existing methods, efficiently identifying inconsistencies while handling complex inlier distributions. h…”

Primary source arxiv.org ↗
New AI business Signal 11h ago

Ceo of ai tutoring company tells students not to worry about professors rules

2 directory members surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · britt paris
“I am once again humbly saying that decisions about technology deployment on our campuses are almost always made by people who have never set foot in the classroom or done research. Most of these new technology deployments, like CircleAI here, are wholly unp…” evidence ↗
2 experts 1 community 1 sources clustered
Charles Logan britt paris

“I am once again humbly saying that decisions about technology deployment on our campuses are almost always made by people who have never set foot in the classroom or done research. Most of these new technology deployments, like CircleAI here, are wholly unp…”

Primary source chronicle.com ↗