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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Active evidence filter

Showing developments with attributable Concern & critique reactions.

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.

Concern & critique Opportunity & adoption
2 live reaction maps in this view Jump to the evidence ↓
Multiple readings Americans and AI 2026: Chatbots, Smart Devices and Views on Impact Concern & critique · 2 attributable reactions Shared emphasis ‘If you build something vastly smarter than you, it better be on your side’: can we stop AI from deceiving us? Concern & critique · 2 attributable reactions
Showing signals surfaced by Social Media Lab ×
New & accelerating

What is moving across the network now

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

New Culture, work & education Research 17h ago
⚡ 55 h early
Pew Research Americans AI views 2026

Americans and AI 2026: Chatbots, Smart Devices and Views on Impact

6 experts across 3 network communities independently surfaced this.

Why this matches Concern & critique reaction 1 attributable expert contribution · Emily Hunt
“~50% of people (in the US) use LLMs regularly, and this has only been increasing more over time. These products are already somewhat ingrained in society, and informing people about the risks and issues with tools that they are attached to does not work if …” evidence ↗
6 experts 3 communities 1 sources clustered
Luke Stark Colin Amanda Tepski Social Media Lab Emily Hunt Jake Laperruque
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“~50% of people (in the US) use LLMs regularly, and this has only been increasing more over time. These products are already somewhat ingrained in society, and informing people about the risks and issues with tools that they are attached to does not work if …”

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“"More Americans are using chatbots, and some are adopting AI summaries and smart speakers. But views about AI and how fast it’s advancing tilt negative – even for younger adults" www.pewresearch.org/internet/202...”

Primary source pewresearch.org ↗
Developing Culture, work & education Analysis 1d ago
AI education evidence production critique

The problem with evidence production on AI in education | code acts in education

2 directory members surfaced this signal.

Why this matches Concern & critique reaction 1 attributable expert contribution · Ben Williamson
“Academic research measuring AI effects in education is appallingly biased already. New industry initiatives promise to hand research authority to big tech and construct even more problematic infrastructures for knowledge production on AI in education codeac…” evidence ↗
2 experts 2 communities 1 sources clustered
Ben Williamson Social Media Lab

“Academic research measuring AI effects in education is appallingly biased already. New industry initiatives promise to hand research authority to big tech and construct even more problematic infrastructures for knowledge production on AI in education codeac…”

Primary source codeactsineducation.wordpress.com ↗
Established AI field signal Analysis 5d ago
⚡ 10 h early
AI homogenizes human thinking Nature essay

Bland new world: is AI making us all think the same?

2 directory members surfaced this signal.

Why this matches Concern & critique reaction 1 attributable expert contribution · Social Media Lab
“Bland new world: is AI making us all think the same? "Researchers worry that generative AI is homogenizing culture and cognition." www.nature.com/articles/d41...” evidence ↗
2 experts 2 communities 1 sources clustered
Stephen Turner Social Media Lab

“Bland new world: is AI making us all think the same? "Researchers worry that generative AI is homogenizing culture and cognition." www.nature.com/articles/d41...”

“I use AI frequently but my god I'd do anything to read English instead of Claudish for a single day across my emails, assignments, socials, Substackistan, academic literature, product announcements, etc. www.nature.com/articles/d41...”

Primary source nature.com ↗
Established Culture, work & education Analysis 5d ago
⚡ 12 h early
Guardian AI deception safety essay

‘If you build something vastly smarter than you, it better be on your side’: can we stop AI from deceiving us?

2 directory members surfaced this signal.

Why this matches Concern & critique reaction 2 attributable expert contributions · Yoshua Bengio, Social Media Lab
“In an interview in this article for @theguardian.com about AI deception, I explain why misaligned behaviors emerge from reinforcement learning, why they will continue to pose risks as models become more capable, and how we intend to rethink how we train AI …” evidence ↗
2 experts 2 communities 1 sources clustered
Yoshua Bengio Social Media Lab
How the network is reacting 2 experts are emphasizing concern & critique.
Shared emphasis

Concern & critique

2 experts

Risks, limits and unintended consequences.

“In an interview in this article for @theguardian.com about AI deception, I explain why misaligned behaviors emerge from reinforcement learning, why they will continue to pose risks as models become more capable, and how we intend to rethink how we train AI …”

Primary source theguardian.com ↗