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 Building & implementation 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.

Showing signals surfaced by Hypervisible ×

What is moving across the network now

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

Accelerating Models & releases Release 21h ago
⚡ 4 h early
OpenAI Dots product announced

Dots are OpenAI

3 experts across 3 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · Hypervisible
““What if we released malware represented in the form of a cute avatar” is an actual business plan now.” evidence ↗
3 experts 3 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“OpenAI: AI is an existential threat to humankind. Also OpenAI: see how cute these little guys are? www.engadget.com/2272230/dots...”

Building & implementation

1 expert

How teams are shipping and applying it.

““What if we released malware represented in the form of a cute avatar” is an actual business plan now.”

Established AI field signal Analysis 6d ago
⚡ 6 h early
essay how to talk AI

How to talk about

11 experts across 2 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · Charles Logan
“I’m working with a librarian to develop a module for undergraduates about conducting research, and I’m once again grateful for this resource from @emilymbender.bsky.social and @nannainie.bsky.social:” evidence ↗
11 experts 2 communities 1 sources clustered

“I’m working with a librarian to develop a module for undergraduates about conducting research, and I’m once again grateful for this resource from @emilymbender.bsky.social and @nannainie.bsky.social:”

“For reasons mysterious to me, Will Stancil is continuing his crash out about language used to describe LLMs, moving on from raning about "stochastic parrots" to picking up on this piece that @nannainie.bsky.social and I published earlier this summer: button…”

2 experts discussed this · 16 posts
Emily M. Bender: So many conversations where otherwise serious people throw around the term "AI" without defining it, despite it being notoriously ill-defined. Thinking about why this might be >>
Emily M. Bender: In some cases, no doubt, the speaker fully believes that autonomous thinking machines are among us. (Though I said "otherwise serious people" in the prev post, so.) >>
Emily M. Bender: In other cases, I suspect that people feel like they lack the expertise to call bullshit and are repeating what they hear others say. >>
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Developing AI business Development 1d ago
Meta AI for businesses launch

Meta Goes All-In On AI for Businesses Before Muse Goes Horribly Wrong

1 directory member surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · Hypervisible
“Would say “too late” but the fact that these systems are not ready for prime time has stopped exactly no business from integrating them.” evidence ↗
1 expert 1 community 1 sources clustered

“Would say “too late” but the fact that these systems are not ready for prime time has stopped exactly no business from integrating them.”

What experts are discussing without an anchoring article

5 experts · 6 posts · 1d ago
Matches Building & implementation
“as somebody who used to work building custom software for normal small-time local business owners, 100% this they’d have “an idea” and it would be, like, one sentence. that’s it.” evidence ↗
Multiple readings Concern & critique · 1 Building & implementation · 1
Hypervisible : Technology enthusiasts severely overestimate the average person’s desire or willingness or capacity to build and use AI agents. I understand some work roles that could mandate or encourage it but t…
Tim Carmody: Also the AI agents on the market (even/especially Muse, the new popular agent for nontechnical people) are too powerful, suck up too much data, and have too lax permissions for regular folks who do…
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4 experts · 15 posts · 6d ago
Matches Building & implementation
“These people are cranky to the core. On top of despising actual academics and knowledge production, they have a severe attachment to terrible models of the world where they sketch out totally unhin…” evidence ↗
Multiple readings Concern & critique · 1 Building & implementation · 1 Research & technical analysis · 1
VE, cybersocial occult investigator: One of my long-standing complaints with the pro-AI world is how their complaint that anti-AI people and the left "need better critics" is clearly a reflection of themselves not having read the actu…
VE, cybersocial occult investigator: It's way easier to shadowbox with a guy you made up in your head than to do the reading and engage with it honestly, but you do you.
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