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
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 avsecz.bsky.social ×
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.

New Models & releases Release 23h ago
⚡ 22 h early
AlphaGenome 2 DeepMind release

AlphaGenome 2: Deciphering how cells read DNA to better understand disease — Google DeepMind

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 2 sources clustered
Adam Gayoso Stephen Turner avsecz.bsky.social

“Single-cell atlases continue to map the diversity of cell states, but how can we use them to interpret non-coding genetic variants? Excited to share AlphaGenome 2, our model for predicting cell-type-specific regulatory activity and variant effects from DNA …”

“AlphaGenome 2 deepmind.google/blog/alphage...”

Primary source deepmind.google ↗ github.com ↗
Accelerating AI field signal Signal 17h ago

storage.googleapis.com

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered
Tim Kellogg Adam Gayoso avsecz.bsky.social

“a big step toward faster drug development Google’s AlphaGenome 2 lets you predict what a cell is doing, on short time scales, by just looking at its’ DNA storage.googleapis.com/deepmind-med...”

“Try AlphaGenome 2: - Code & Python API: alphagenomedocs.com/index.html - E2G & GWAS atlases: deepmind.google.com/science/alph... Read the preprint: storage.googleapis.com/deepmind-med...”

2 experts discussed this · 3 posts
Tim Kellogg: this isn’t a replacement for experimentation. It just clarifies what experiments are likely to succeed which, that’s great
Tim Kellogg: a big step toward faster drug development Google’s AlphaGenome 2 lets you predict what a cell is doing, on short time scales, by just looking at its’ DNA storage.googleapis.com/deepmind-med...
Gus: 👀
Open the full discussion →
Primary source storage.googleapis.com ↗