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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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
1 live reaction map in this view Jump to the evidence ↓
Reaction converging GitHub - antirez/h3.c: MiniMax H3 inference engine for Mac computers Building & implementation · 3 attributable reactions
Showing signals surfaced by antirez ×
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The developments commanding sustained expert attention

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

Accelerating Compute & infrastructure Resource 7h ago
⚡ 5 h early
MiniMax H3 Mac inference engine

GitHub - antirez/h3.c: MiniMax H3 inference engine for Mac computers

3 directory members surfaced this signal.

Why this matches Building & implementation reaction 3 attributable expert contributions · Simon Willison, antirez.bsky.social, antirez
“RT @antirez: Fast H3 implementation for Metal. Enjoy, modify, and so forth: https://t.co/FuyzEtUW7S Contains code from @liuliu which is wel…” evidence ↗
3 experts 1 community 1 sources clustered
Simon Willison antirez.bsky.social antirez
How the network is reacting 3 experts are independently emphasizing building & implementation.
Reaction converging

Building & implementation

3 experts

How teams are shipping and applying it.

“RT @antirez: Fast H3 implementation for Metal. Enjoy, modify, and so forth: https://t.co/FuyzEtUW7S Contains code from @liuliu which is wel…”

Primary source github.com ↗