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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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 ↓
Shared emphasis EmbeddingGemma 2: an open, lightweight multimodal embedding model Building & implementation · 2 attributable reactions
Showing signals surfaced by Tom Aarsen ×
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 16d ago
⚡ 15 h early

EmbeddingGemma 2: an open, lightweight multimodal embedding model

4 directory members surfaced this signal.

Why this matches Building & implementation reaction 2 attributable expert contributions · Google Gemma, Tom Aarsen
“Read the blog for all the details, dive into the docs, and start building today: https://t.co/UVpgDrXvvV” evidence ↗
4 experts 1 community 1 sources clustered
Google Gemma Lynn Cherny Tom Aarsen Max Woolf
How the network is reacting 2 experts are emphasizing building & implementation.
Shared emphasis

Building & implementation

2 experts

How teams are shipping and applying it.

“Read the blog for all the details, dive into the docs, and start building today: https://t.co/UVpgDrXvvV”

Primary source blog.google ↗
Established AI field signal Signal 8d ago

Tokenmaxxing BERT: 50x faster tokenization

1 directory member surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · Tom Aarsen
“All of the details are in this blog, which explains exactly how these tokenizers work, where the implementation was bottlenecked, and how it has been improved. Check it out here: huggingface.co/blog/hugging...” evidence ↗
1 expert 1 community 1 sources clustered
Tom Aarsen

“All of the details are in this blog, which explains exactly how these tokenizers work, where the implementation was bottlenecked, and how it has been improved. Check it out here: huggingface.co/blog/hugging...”

Primary source huggingface.co ↗
Established Models & releases Release 10d ago
Google EmbeddingGemma-2 release

google/embeddinggemma-2 · Hugging Face

1 directory member surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · Tom Aarsen
“The model: huggingface.co/google/embed... Give it a like if you haven't already, or even better: give it a try, it's natively integrated in Sentence Transformers for any modality you want.” evidence ↗
1 expert 1 community 1 sources clustered
Tom Aarsen

“The model: huggingface.co/google/embed... Give it a like if you haven't already, or even better: give it a try, it's natively integrated in Sentence Transformers for any modality you want.”

Primary source huggingface.co ↗