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
Filter the conversation Who is saying what?

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

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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.

Showing signals surfaced by Sayash Kapoor ×

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 Analysis 9d ago
⚡ 580 h early
AI not replacing software engineers essay

Why AI hasn’t replaced software engineers, and won’t

4 experts across 2 network communities independently surfaced this.

4 experts 2 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Policy & governance

1 expert

Rules, institutions and accountability.

“And a few examples of my public writing on AI's impacts on institutions and professions: - Legal services: www.normaltech.ai/p/ai-wont-au... - Software engineering: www.normaltech.ai/p/why-ai-has... - Science: www.normaltech.ai/p/could-ai-s...”

Building & implementation

1 expert

How teams are shipping and applying it.

““We can think of many kinds of knowledge work, including software development, as a “decide-execute-deliver sandwich”. AI compresses the “execute” layer…but the other two layers resist automation in a way that will not be overcome by capability improvements…”