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 Research & technical analysis
1 live reaction map in this view Jump to the evidence ↓
Multiple readings Ai chatbots brain development study Building & implementation · 2 attributable reactions
Showing signals surfaced by Jason Moore ×
Most important

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 field signal Signal 18d ago

Ai chatbots brain development study

5 experts across 3 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · Edouard Machery
“Apparently scientists have discovered that when you don’t practice a skill it does not develop and you are less motivated to engage in tasks requiring this skill. Thanks science.” evidence ↗
5 experts 3 communities 1 sources clustered
Luke Stark Jeff (Gutenberg Parenthesis) Jarvis Jason Moore Edouard Machery Dr Keith Wilson 🏳️‍🌈
Primary source nytimes.com ↗
Established Agents & robotics Analysis 8d ago
building AI agent teams essay

Deeper Dive: Building Teams of AI Agents Takes Patience. Here’s Why It’s Worth the Effort.

1 directory member surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · Jason Moore
“Engineering teams of AI agents take patience.... In this deeper dive, we explore why patience is needed, why good engineering is worth the effort, & a checklist for assessing whether your team is ready for use healthaiinsights.substack.com/p/deeper-div... #…” evidence ↗
1 expert 1 community 1 sources clustered
Jason Moore

“Engineering teams of AI agents take patience.... In this deeper dive, we explore why patience is needed, why good engineering is worth the effort, & a checklist for assessing whether your team is ready for use healthaiinsights.substack.com/p/deeper-div... #…”

Primary source healthaiinsights.substack.com ↗
Established AI field signal Signal 10d ago

Deeper Dive: Who Judges the AI Judges? Five Best Practices for Building Reliable Agent Panels

1 directory member surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · Jason Moore
“Some tips for building a panel of agentic AI judges agenticaiinsights.substack.com/p/deeper-div... #agenticAI #ai #evaluation #llms” evidence ↗
1 expert 1 community 1 sources clustered
Jason Moore

“Some tips for building a panel of agentic AI judges agenticaiinsights.substack.com/p/deeper-div... #agenticAI #ai #evaluation #llms”

Primary source agenticaiinsights.substack.com ↗