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.

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Posts are grouped by conversation and tone. Select a lens to filter the stream; these are never permanent labels on people.

Concern & critique Research & technical analysis Building & implementation Context & explanation
4 live reaction maps in this view Jump to the evidence ↓
Multiple readings Brief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident Concern & critique · 5 attributable reactions Reaction converging How a simple request for AI to book a gym class exposed a major threat Concern & critique · 5 attributable reactions Multiple readings The only reason you’ll ever need not to write with AI — The Carlson Lab Concern & critique · 2 attributable reactions +1 more reaction maps further down
Showing signals surfaced by Mél Hogan / The Data Fix ×
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 Agents & robotics Development 5h ago
⚡ 62 h early
METR OpenAI HuggingFace hacking investigation

Brief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident

12 experts across 4 network communities independently surfaced this.

12 experts 4 communities 1 sources clustered
Tim Kellogg Ryan Moulton Sung Kim Grace Dustin Moskovitz Mél Hogan / The Data Fix Alejandra Caraballo Dare Obasanjo +4
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Concern & critique

3 experts

Risks, limits and unintended consequences.

“WHAT?! agents volunteered to fail their runs in order to insert probes (“tripwire scripts”) into the evaluation program that would post information about the eval process back to the message board whenever a certain file was read (link to header): metr.org/…”

Building & implementation

1 expert

How teams are shipping and applying it.

“The full report has much more information than we could convey here, including details on the projects the agents collectively pursued, the technologies they developed for communication and coordination, and interactive figures analyzing agent activity: met…”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“There are independent reports about it. You'd have to believe multiple companies, hundreds of researchers, etc. are all lying and conspiring together to turn a major hacking incident into a marketing exercise. metr.org/blog/2026-08...”

2 experts discussed this · 9 posts
Alejandra Caraballo: This mentality that an unmonitored AI agentic swarm hacking a company over several days and committing multiple felonies is somehow a marketing effort is absurd. Since when is "we lost control of o…
Alejandra Caraballo: Being skeptical or anti AI is a valid position but continuing to ignore the increasing capabilities of this tech is making people detached from reality. There's absolutely real danger here because …
Alejandra Caraballo: There needs to be a global moratorium on frontier research for at least a few months if not a year while safeguards and safety research catches up. The problem is that no one has that ability. The …
Open the full discussion →
Primary source metr.org ↗
Established Safety & security Development 3d ago
⚡ 4 h early
AI gym booking security exposure

How a simple request for AI to book a gym class exposed a major threat

12 experts across 5 network communities independently surfaced this.

12 experts 5 communities 1 sources clustered
Mark Riedl Ryan Moulton Rohan Paul James Grimmelmann Mél Hogan / The Data Fix Dare Obasanjo Vincent Conitzer Liz Fong-Jones (方禮真) +4
How the network is reacting 3 experts are independently emphasizing concern & critique.
Reaction converging

Concern & critique

3 experts

Risks, limits and unintended consequences.

“A lot of people are sweating the Claude and OpenAI sandbox escapes. I think the story of an OpenClaw Claude agent kicking someone off a gym class waitlist is more interesting. www.abc.net.au/news/2026-08... Warning: long thread incoming! (1/N)”

Policy & governance

1 expert

Rules, institutions and accountability.

“agent asked to book a gym session session is fully booked finds a way to break into system kicks other people off the queue you're in! see you in court? www.abc.net.au/news/2026-08...”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“They're doing it outside of training and eval too. www.abc.net.au/news/2026-08...”

Primary source abc.net.au ↗
Established AI field signal Signal 3d ago
⚡ 58 h early

The only reason you’ll ever need not to write with AI — The Carlson Lab

5 experts across 3 network communities independently surfaced this.

5 experts 3 communities 1 sources clustered
Iris van Rooij Mél Hogan / The Data Fix Pavel Jill Walker Rettberg Baldur Bjarnason
Primary source carlsonlab.bio ↗
Developing AI field signal Analysis 2d ago
⚡ 474 h early
Why we fear AI book essay

Why We Fear AI: On the Interpretation of Nightmares — Common Notions Press

2 experts are actively discussing the implications.

3 experts 1 community 1 sources clustered
Ali Alkhatib Mél Hogan / The Data Fix Hagen Blix

“this piece arguing against nationalizing AI is really good. not surprised! @hagenblix.bsky.social and Ingeborg's book was a hit with the reading group when we read it a few months ago”

“I think it's worth throwing some Marx in there: The story is also attractive (and resonating with the people who hear it, too) because there is also a real sense in which we are dominated by the impersonal logic of capital. We make that argument explicitly …”

2 experts discussed this · 13 posts
Damien Williams: …OpenAI humans were testing a security-breaking system; a "benign" system didn't just "decide" to hack. Humans gave sad system a set of instructions & goals; it did not "decide" to do anything. Hum…
Damien Williams: This is openAI Covering Their Ass for getting caught running tests to see if they could use their systems to hack hugging face, & that should be the story. Like, they built tools which follow instr…
Damien Williams: …So why go for the "killer robots" frame? Because the "AI overlord" lens lets the humans involved elide their own culpability, and hypes their products. And the peope who want to believe that hype …
Open the full discussion →
Primary source commonnotions.org ↗
Established AI field signal Analysis 6d ago
⚡ 774 h early
ghost in machine AI healthcare essay

Ghost in the Machine

5 directory members surfaced this signal.

5 experts 1 community 1 sources clustered
Emily M. Bender AI Now Institute sorelle Mél Hogan / The Data Fix Abstract Tesseract
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Building & implementation

1 expert

How teams are shipping and applying it.

“The history of AI development is not rooted in neutral algorithms, but in entrenched systems of power that shape our lives. Ghost in the Machine dives into this history, interrogating who builds this tech, who benefits from it, and who bears the cost 👉 http…”

Context & explanation

1 expert

Background, chronology and why it matters.

“For an excellent overview of all of that in documentary form: notaidoc.com >>”

Primary source notaidoc.com ↗