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.

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Showing developments with attributable Research & technical analysis reactions.

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Research & technical analysis
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Showing signals surfaced by David Mimno ×
New & accelerating

What is moving across the network now

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Established AI field signal Resource 4d ago
⚡ 5 h early
GLAM OCR model leaderboard launch

BHL OCR Leaderboard - a Hugging Face Space by finebooks

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Daniel van Strien
“A 15.9M-parameter specialist OCR model outperforms many VLMs hundreds of times larger. On a 2,165-page historical eval dataset, Kraken PP-OCRv6 ranks #4 on reading CER and #1 when long-s, ligatures and case are preserved. huggingface.co/spaces/fineb...” evidence ↗
2 experts 2 communities 1 sources clustered
David Mimno Daniel van Strien

“A 15.9M-parameter specialist OCR model outperforms many VLMs hundreds of times larger. On a 2,165-page historical eval dataset, Kraken PP-OCRv6 ranks #4 on reading CER and #1 when long-s, ligatures and case are preserved. huggingface.co/spaces/fineb...”

Primary source huggingface.co ↗
Debates gaining attention

What experts are discussing without an anchoring article

2 experts · 2 posts · 6d ago
David Mimno Daniel Lowd
Matches Research & technical analysis
“Remember that LeCun was one of about 5 people in the world who thought neural networks were worth studying in the 2000s” evidence ↗
Shared emphasis Research & technical analysis · 2
David Mimno: Remember that LeCun was one of about 5 people in the world who thought neural networks were worth studying in the 2000s
Daniel Lowd: I strongly agree that things outside of LLMs are worth studying, but I strongly disagree that LLMs are not worth studying.
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