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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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.

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Showing signals surfaced by Dirk Hovy ×

The developments commanding sustained expert attention

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Established AI field signal Signal 14d ago
⚡ 675 h early

arxiv.org

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered

“#TBT #NLProc 'Classist Tools: Social Class Correlates with Performance in NLP' by Curry et al. (2024) finds NLP tools perform worse on lower-SES speech - higher perplexity, more ASR errors, dialect flagged as "wrong" by grammar checkers. arxiv.org/pdf/2403.…”

Established AI research Research 17d ago
⚡ 6 h early
hateful speech online open challenges

Countering Hateful and Offensive Speech Online - Open Challenges

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered

“#MemoryModay #NLProc Countering Hateful and Offensive Speech Online - Open Challenges" (Flor Miriam Plaza-Del-Arco, @deboranozza.bsky.social, et al. 2024) presented a tutorial on the challenges and solutions for detecting and mitigating hate speech online. …”

Established Culture, work & education Analysis 13d ago
⚡ 34 h early
AI knowledge vs studying motivation essay

15 Minutes Break | AI Knows Everything. So Why Study?

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered

“Bocconi arranged for an interview with a student (Milek Anilkumar) on studying in the age of AI. It was a lot of fun, and could have easily been 4x longer. TLDR: still worth it… www.youtube.com/watch?v=kclp...”