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.

2,364 searchable experts 2,966 tracked across all sources
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Showing developments with attributable Concern & critique reactions.

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What is moving across the network now

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

Developing Culture, work & education Signal 1d ago
⚡ 385 h early

Ai white collar jobs

2 experts are actively discussing the implications.

Why this matches Concern & critique reaction 1 attributable expert contribution · Data & Society
“Once AI companies have taught their models to perform a certain job, their need for more training data in that area could sharply decline. In this way, data-training start-ups are like the freelancers they employ: making $$ today, in danger of being dropped…” evidence ↗
2 experts 2 communities 1 sources clustered

“Once AI companies have taught their models to perform a certain job, their need for more training data in that area could sharply decline. In this way, data-training start-ups are like the freelancers they employ: making $$ today, in danger of being dropped…”

“it's not like Mercor is the first to do this, but interesting that AI companies hiring experts is (finally) getting attention :: www.nytimes.com/2026/07/10/b...”

2 experts discussed this · 5 posts
Jeffrey P. Bigham: end of an era. the lesson one should not take from this is that human annotation/labeling is over, but the players have changed. scale, surge, companies that work at larger scale, have taken over.
Jeffrey P. Bigham: it's always been a little bit odd how little amazon invested in making mturk good, yet they kept it around. the lore was something about how they were keeping it in case it became useful.
Long Lasting Mascot: Indeed. My first project in grad school involved getting turkers to annotate data for us. The results were not good, but I was never sure if it was our instructions or their abilities.
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Developing Responsible AI Development 2d ago
⚡ 174 h early

AI is more likely than humans to form biases when hiring

2 directory members surfaced this signal.

Why this matches Concern & critique reaction 2 attributable expert contributions · Data & Society, Critical AI https://read.dukeupress.edu/critical-ai/issue
“New research suggests that LLMs can develop their own biases from experience, separate from their training data. This can lead them to stereotype job applicants even more than humans do. www.technologyreview.com/2026/07/20/1...” evidence ↗
2 experts 1 community 1 sources clustered
How the network is reacting 2 experts are emphasizing concern & critique.
Shared emphasis

Concern & critique

2 experts

Risks, limits and unintended consequences.

“New research suggests that LLMs can develop their own biases from experience, separate from their training data. This can lead them to stereotype job applicants even more than humans do. www.technologyreview.com/2026/07/20/1...”

Established AI field signal Signal 5d ago

J.B. Branch: Brace yourself for the AI public relations blitz

1 directory member surfaced this signal.

Why this matches Concern & critique reaction 1 attributable expert contribution · Data & Society
““No fellowship, academy or glossy public opinion campaign can repair what years of extraction and broken promises have eroded,” @jbbranch.bsky.social writes. “[T]rust, once squandered, is far harder to build than the next model update.” www.chicagotribune.c…” evidence ↗
1 expert 1 community 1 sources clustered

““No fellowship, academy or glossy public opinion campaign can repair what years of extraction and broken promises have eroded,” @jbbranch.bsky.social writes. “[T]rust, once squandered, is far harder to build than the next model update.” www.chicagotribune.c…”