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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The developments commanding sustained expert attention

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

Developing Evaluation & benchmarks Research 2d ago
⚡ 2633 h early
style text embedding benchmark paper

STEB: Style Text Embedding Benchmark

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered

“Paper: arxiv.org/abs/2606.31741 Code: github.com/rrivera1849/STEB Leaderboard: huggingface.co/spaces/steb-benchmark/steb-leaderboard Led by Rafael Rivera Soto, w/ Cristina Aggazzotti.”

“Rafael Rivera Soto, Anna Wegmann, Cristina Aggazzotti STEB: Style Text Embedding Benchmark https://arxiv.org/abs/2606.31741”