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
Build my stream Create my edition
Filter the conversation Who is saying what?

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

Clear all
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.

0 live reaction maps in this view

No development in this filter has enough independent reactions yet. The maps appear as soon as the evidence supports them.

Showing signals surfaced by Lucas Beyer ×
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.

Established Models & releases Release 14d ago
⚡ 2 h early
Meta Muse-Glimmer 30B release

meta-models (Meta Inc.)

4 directory members surfaced this signal.

4 experts 1 community 2 sources clustered
Clement Delangue Meta AI Lucas Beyer Yann LeCun

“🔗 Download Muse Glimmer on @huggingface: https://t.co/s7Lzb8MqCG 🔗 Read the technical blog: https://t.co/X6htFnhRbc 🔗 Find resources: https://t.co/Gt3aCdWFwU”

“RT @AIatMeta: 🔗 Download Muse Glimmer on @huggingface: https://t.co/s7Lzb8MqCG 🔗 Read the technical blog: https://t.co/X6htFnhRbc 🔗 Find…”

Primary source huggingface.co ↗ go.meta.me ↗
Developing AI research Research 2d ago
PlaNet photo geolocation CNN paper

PlaNet - Photo Geolocation with Convolutional Neural Networks

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered
Lucas Beyer

“@gabriberton @Nik__V__ The dream? My friends at Google derisked this exactly a decade ago: https://t.co/iReVZecPwX And pretty much around the time you describe in the thread when we were "looking for scalable supervision" we also discussed this exact thing …”

Primary source arxiv.org ↗
Established AI field signal Signal 7d ago

arxiv.org

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered
Lucas Beyer

“Not always! There are situations where flops and wall time genuinely are not interchangeable, and it's not just a "missing cracked cuda"; not all flops are equal. Here i had one irl, from FlexiViT paper: https://t.co/AEsF2rWWVn Context: the efficiency misno…”

Primary source arxiv.org ↗