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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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 Signal 19h ago
⚡ 6 h early

Hugging Face Has a Deepfake Nudes Problem

4 experts across 4 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Katie Drummond
“New: Hugging Face has a widespread problem with nonconsensual deepfakes, including multiple AI models that undress or create sexual images. Researchers even created their own tool on the platform and tracked 1,000 prompts over a week. 73% of the prompts the…” evidence ↗
4 experts 4 communities 1 sources clustered
Hypervisible Katie Drummond Dr. Elinor Carmi Emily Hunt

“New: Hugging Face has a widespread problem with nonconsensual deepfakes, including multiple AI models that undress or create sexual images. Researchers even created their own tool on the platform and tracked 1,000 prompts over a week. 73% of the prompts the…”

Primary source wired.com ↗
Developing Evaluation & benchmarks Research 1d ago
Khondo Bangla document benchmark

Khondo: A Multimodal Benchmark for Document Packet Splitting of Bangla Forms

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · arxiv cs.CL
“Abu Tyeb Azad, Fahim Ahmed, Ishita Sur Apan, Ezharuddin Jubaer, Sumaiya Karim Katha, Armun Alam, Amin Ahsan Ali, Aman Chadha, Md Mofijul Islam, AKM Mahbubur Rahman Khondo: A Multimodal Benchmark for Document Packet Splitting of Bangla Forms https://arxiv.or…” evidence ↗
1 expert 1 community 1 sources clustered
arxiv cs.CL

“Abu Tyeb Azad, Fahim Ahmed, Ishita Sur Apan, Ezharuddin Jubaer, Sumaiya Karim Katha, Armun Alam, Amin Ahsan Ali, Aman Chadha, Md Mofijul Islam, AKM Mahbubur Rahman Khondo: A Multimodal Benchmark for Document Packet Splitting of Bangla Forms https://arxiv.or…”

Primary source arxiv.org ↗
Developing Vision & synthetic media Research 1d ago
native multimodal pre-training scaling

Scaling Native Multimodal Pre-Training From Scratch

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · arxiv cs.CL
“Haoyuan Wu, Aoqi Wu, Hai Wang, Jiajia Wu, Jinxiang Ou, Bei Yu Scaling Native Multimodal Pre-Training From Scratch https://arxiv.org/abs/2607.22043” evidence ↗
1 expert 1 community 1 sources clustered
arxiv cs.CL

“Haoyuan Wu, Aoqi Wu, Hai Wang, Jiajia Wu, Jinxiang Ou, Bei Yu Scaling Native Multimodal Pre-Training From Scratch https://arxiv.org/abs/2607.22043”

Primary source arxiv.org ↗
Developing Models & releases Research 1d ago
nuclear reactor LLM benchmarking paper

Benchmarking Fine-tuning and Retrieval Strategies for a Multimodal Language Model on the NRC Reactor Operator Licensing Examination

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · arxiv cs.CL
“Isak Hwang, Yoon Pyo Lee Benchmarking Fine-tuning and Retrieval Strategies for a Multimodal Language Model on the NRC Reactor Operator Licensing Examination https://arxiv.org/abs/2607.22067” evidence ↗
1 expert 1 community 1 sources clustered
arxiv cs.CL

“Isak Hwang, Yoon Pyo Lee Benchmarking Fine-tuning and Retrieval Strategies for a Multimodal Language Model on the NRC Reactor Operator Licensing Examination https://arxiv.org/abs/2607.22067”

Primary source arxiv.org ↗