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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Showing signals surfaced by Baldur Bjarnason ×

The developments commanding sustained expert attention

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

Established Evaluation & benchmarks Signal 20d ago
⚡ 1 h early

Hugging face model evaluation security incident

22 experts across 6 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Jeffrey P. Bigham
“model capability jaggedness is part of the unintuitiveness of current AI, but it's made even less intuitive by tirelessness… wigguming through the jaggedness toward something that looks like success. not quite a paperclip factory, but not so far off. metaph…” evidence ↗
22 experts 6 communities 1 sources clustered
6 experts discussed this · 11 posts
Grace: This headline is extremely funny given what happened (OpenAI hacked HF by accident) openai.com/index/huggin...
Grace: Maybe the most concerning part is the OpenAI claim to not have known about this before investigating?
Grace: Well, I think the model passed the test
Open the full discussion →
Established Culture, work & education Signal 5d ago
⚡ 97 h early

The real ai jobs apocalypse

4 experts across 3 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Brian Merchant
“Had a great chat with @alexhanna.bsky.social about the rising discontentment with AI among workers, her findings from running the Luddite Lab, which gives workers interested in resisting AI resources and support, and a lot more www.bloodinthemachine.com/p/t…” evidence ↗
4 experts 3 communities 1 sources clustered
New Evaluation & benchmarks Research 8h ago
⚡ 7 h early
AI everything world benchmark

AI and the Everything in the Whole Wide World Benchmark

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Emily M. Bender
“Raji et al 2021: AI and the Everything in the Whole Wide World Benchmark. datasets-benchmarks-proceedings.neurips.cc/paper/2021/h... >>” evidence ↗
2 experts 2 communities 1 sources clustered

“Raji et al 2021: AI and the Everything in the Whole Wide World Benchmark. datasets-benchmarks-proceedings.neurips.cc/paper/2021/h... >>”

Developing AI field signal Signal 1d ago

Gazed down.

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Baldur Bjarnason
““AGI Benchmarks: Eugenic Origins — by Valerie Veatch” > This was the beginning of the relentless use of white-nationalist, white-supremecist, eugenicist definitions of ‘intelligence’ deployed by the computer sciences to define what eventual machine ‘general…” evidence ↗
1 expert 1 community 1 sources clustered

““AGI Benchmarks: Eugenic Origins — by Valerie Veatch” > This was the beginning of the relentless use of white-nationalist, white-supremecist, eugenicist definitions of ‘intelligence’ deployed by the computer sciences to define what eventual machine ‘general…”

Established Compute & infrastructure Resource 5d ago

AI Water Consumption Statistics 2026 and Key Findings - Memeburn

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Baldur Bjarnason
““AI Water Consumption Statistics 2026 and Key Findings - Memeburn” https://memeburn.com/ai-water-consumption-statistics-2026-and-key-findings/ > AI’s water problem is real and concentrated at the infrastructure and watershed level. There is no stable amount…” evidence ↗
1 expert 1 community 1 sources clustered

““AI Water Consumption Statistics 2026 and Key Findings - Memeburn” https://memeburn.com/ai-water-consumption-statistics-2026-and-key-findings/ > AI’s water problem is real and concentrated at the infrastructure and watershed level. There is no stable amount…”