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.

2,373 searchable experts 3,304 tracked across all sources

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Filter the conversation Who is saying what?

Combine a professional role with a reaction lens. Both must match the same attributed contribution.

Who is contributing? How are they reacting?

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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.

Opportunity & adoption Questions & unknowns

1 live reaction map in this view Jump to the evidence ↓

Multiple readings Are Open Models Catching Up? Opportunity & adoption · 2 attributable reactions

Showing signals surfaced by Ramez Naam ×

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.

Developing AI field signal Signal 2d ago

⚡ 5 h early

Are Open Models Catching Up?

2 directory members surfaced this signal.

2 experts 0 communities 1 sources clustered

Ramez Naam SemiAnalysis

How the network is reacting Experts are approaching this through 2 distinct lenses.

Multiple readings

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“Are open weight AI models catching up to proprietary? @SemiAnalysis_ says yes. And it happens faster with each new wave of AI capabilities. From: https://t.co/QIOH1DOiP5 https://t.co/Y3uZnd6MJN”

Ramez Naam post ↗

Questions & unknowns

1 expert

What remains unresolved or contested.

“Are Open Models Catching Up? Comparing open vs. closed models across the eras of frontier models, Is the gap narrowing? https://t.co/TBZnvquwio”

SemiAnalysis post ↗

Primary source newsletter.semianalysis.com ↗