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 Questions & unknowns
1 live reaction map in this view Jump to the evidence ↓
Multiple readings What the US Movement Against Data Centers Can Learn From Abroad Building & implementation · 2 attributable reactions
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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 Compute & infrastructure Analysis 11d ago
⚡ 16 h early
US data center opposition movement essay

What the US Movement Against Data Centers Can Learn From Abroad

5 experts across 3 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · Social Media Lab
“"What the US Movement Against Data Centers Can Learn From Everywhere Else. Paris Marx, author of Hyperscale, has been tracking global data center development for years. The US has a lot to learn from what’s happened everywhere from Ireland to New Zealand." …” evidence ↗
5 experts 3 communities 1 sources clustered
Paris Marx dell cameron Gil Durán Julián Posada Social Media Lab
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Building & implementation

1 expert

How teams are shipping and applying it.

“"What the US Movement Against Data Centers Can Learn From Everywhere Else. Paris Marx, author of Hyperscale, has been tracking global data center development for years. The US has a lot to learn from what’s happened everywhere from Ireland to New Zealand." …”

Questions & unknowns

1 expert

What remains unresolved or contested.

““We should be asking, how much computation do we really need? How many resources are actually justifiable to put into this project? What are we actually getting out of it?” Read my interview with @mollytaft.com in @wired.com about some of my big takeaways f…”

Primary source wired.com ↗
Established AI field signal Analysis 16d ago
tech villain US midterms essay

How tech became the villain of the US midterms

1 directory member surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · Social Media Lab
“How tech became the villain of the US midterms "Datacenters, AI and distaste for the billionaires developing it has soured Americans on big tech." www.theguardian.com/us-news/ng-i...” evidence ↗
1 expert 1 community 1 sources clustered
Social Media Lab

“How tech became the villain of the US midterms "Datacenters, AI and distaste for the billionaires developing it has soured Americans on big tech." www.theguardian.com/us-news/ng-i...”

Primary source theguardian.com ↗