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 Research & technical analysis reactions.

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Research & technical analysis
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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 Vision & synthetic media Research 1h ago
visual text video generation benchmark

Beyond Legibility: Benchmarking Visual Text Rendering and In-Place Editing in Unified Video Generation

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · AI Firehose
“VidScribe is a benchmark for evaluating visual text in videos, addressing challenges like temporal stability and glyph correctness across generation tasks. It reveals performance disparities, enhancing accuracy and realism in video AI production. https://ar…” evidence ↗
1 expert 1 community 1 sources clustered
AI Firehose

“VidScribe is a benchmark for evaluating visual text in videos, addressing challenges like temporal stability and glyph correctness across generation tasks. It reveals performance disparities, enhancing accuracy and realism in video AI production. https://ar…”

Primary source arxiv.org ↗
New Models & releases Signal 12h ago

Omnilingual-MsASR: Benchmarking Multimodal, Multilingual, Long-Form Multi-Speaker ASR of Omni Large Language Models

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · arxiv cs.CL
“Yuan Ge, Pei Zhang, Xize Cheng, Lingzhou Mu, Mingyang Wang, Jin Xu, Baosong Yang, Shengxiang Gao, Jingbo Zhu, Zhengtao Yu, Tong Xiao Omnilingual-MsASR: Benchmarking Multimodal, Multilingual, Long-Form Multi-Speaker ASR of Omni Large Language Models https://…” evidence ↗
1 expert 1 community 1 sources clustered
arxiv cs.CL

“Yuan Ge, Pei Zhang, Xize Cheng, Lingzhou Mu, Mingyang Wang, Jin Xu, Baosong Yang, Shengxiang Gao, Jingbo Zhu, Zhengtao Yu, Tong Xiao Omnilingual-MsASR: Benchmarking Multimodal, Multilingual, Long-Form Multi-Speaker ASR of Omni Large Language Models https://…”

Primary source arxiv.org ↗
New AI research Signal 10h ago

ELLIS Unit Munich: Summer School on Computer Vision and Machine Learning 2026

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · ELLIS
“111 researchers from over 75 institutions across 40 countries joined this year’s ELLIS Summer School on Computer Vision & Machine Learning (ESC26), hosted by the ELLIS Unit in Munich 🇩🇪! Read the recap & see some highlights: https://bit.ly/3U7HI57” evidence ↗
1 expert 1 community 1 sources clustered
ELLIS

“111 researchers from over 75 institutions across 40 countries joined this year’s ELLIS Summer School on Computer Vision & Machine Learning (ESC26), hosted by the ELLIS Unit in Munich 🇩🇪! Read the recap & see some highlights: https://bit.ly/3U7HI57”

Primary source ellis.eu ↗
New AI research Signal 10h ago

ELLIS Unit Munich: Summer School on Computer Vision and Machine Learning 2026

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · ELLIS
“111 researchers from over 75 institutions across 40 countries joined this year’s ELLIS Summer School on Computer Vision & Machine Learning (ESC26), hosted by the ELLIS Unit in Munich 🇩🇪! Read the recap & see some highlights: https://bit.ly/3U7HI57” evidence ↗
1 expert 1 community 1 sources clustered
ELLIS

“111 researchers from over 75 institutions across 40 countries joined this year’s ELLIS Summer School on Computer Vision & Machine Learning (ESC26), hosted by the ELLIS Unit in Munich 🇩🇪! Read the recap & see some highlights: https://bit.ly/3U7HI57”

Primary source bit.ly ↗
Debates gaining attention

What experts are discussing without an anchoring article