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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See how experts are reacting—not just what they shared.

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Showing signals surfaced by Dmytro Mishkin ×
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 research Research 2d ago
robust local optimization paper

Robust Local Optimization Done Right

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Dmytro Mishkin

“Robust Local Optimization Done Right James Pritts, Kevin Köser tl;dr: a Welsch robust loss with half-quadratic optimization, or how to use outliers to help. Sota in inl_th robustness vs SIMFIT++. also - RANSAC in Julia arxiv.org/abs/2610.05743 github.com/Vi…”

Primary source arxiv.org ↗
Established AI field signal Signal 17d ago

arxiv.org

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Dmytro Mishkin

“Some work on similar, but for algorithmic case, when you kind of want to do it. arxiv.org/pdf/2503.13433 Earlier work from ours, arxiv.org/pdf/2003.01587 The issue is not tuning on test alone - it is tuning for YOUR method, crappy baseline of other - every …”

Primary source arxiv.org ↗
Established AI field signal Signal 17d ago

arxiv.org

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Dmytro Mishkin

“Some work on similar, but for algorithmic case, when you kind of want to do it. arxiv.org/pdf/2503.13433 Earlier work from ours, arxiv.org/pdf/2003.01587 The issue is not tuning on test alone - it is tuning for YOUR method, crappy baseline of other - every …”

Primary source arxiv.org ↗
Debates gaining attention

What experts are discussing without an anchoring article