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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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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 Building & implementation Research & technical analysis
3 live reaction maps in this view Jump to the evidence ↓
Reaction converging Models Don't Go Rogue Concern & critique · 6 attributable reactions Multiple readings Brief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident Concern & critique · 5 attributable reactions Shared emphasis Students as Conscientious Objectors to Gen AI (opinion) Concern & critique · 2 attributable reactions
Showing signals surfaced by Mél Hogan / The Data Fix ×
Debated

The questions experts are actively pulling apart

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

Established Safety & security Analysis 14d ago
models don't go rogue essay

Models Don't Go Rogue

11 experts across 3 network communities independently surfaced this.

Why this matches Concern & critique reaction 6 attributable expert contributions · evacide, Dare Obasanjo, Benjamin Riley
“If you optimize a model to find exploits, you should expect it to find them—and prepare for that. OpenAI didn't. They built a model, removed the safeguards, gave it the ExploitGym task, let it run, and didn't even monitor it. That's human decision-making. m…” evidence ↗
11 experts 3 communities 1 sources clustered
Timnit Gebru Eryk Salvaggio Luke Stark evacide Shannon Mattern Mél Hogan / The Data Fix Dare Obasanjo Benjamin Riley +3
How the network is reacting 6 experts are independently emphasizing concern & critique.
Reaction converging

Concern & critique

6 experts

Risks, limits and unintended consequences.

“If you optimize a model to find exploits, you should expect it to find them—and prepare for that. OpenAI didn't. They built a model, removed the safeguards, gave it the ExploitGym task, let it run, and didn't even monitor it. That's human decision-making. m…”

5 experts discussed this · 20 posts
Timnit Gebru: Friends, when I sent this message to my team laughing, I didn't know that this fairytale blog had been shared far & wide & that people actually believed it. I didn't know that until someone asked m…
Timnit Gebru: At a certain point I have to ask myself if I got all this pedigree and spent decades doing research and building things to then spend the rest of my life attempting to come up with good arguments a…
Timnit Gebru: Agents didn't "confer" that is anthropomorphization of computer programs trained to do certain tasks.
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Primary source mail.cyberneticforests.com ↗
New Agents & robotics Development 7h 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.

Why this matches Concern & critique reaction 3 attributable expert contributions · Tim Kellogg, Mél Hogan / The Data Fix, René Walter
“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/…” evidence ↗
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 …
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Primary source metr.org ↗
Established AI business Analysis 14d ago
⚡ 192 h early
students reject Gen AI conscientious objectors

Students as Conscientious Objectors to Gen AI (opinion)

10 experts across 4 network communities independently surfaced this.

Why this matches Concern & critique reaction 2 attributable expert contributions · Benjamin Riley, Jane Rosenzweig
“"Our students—and others in their AI-skeptical generation—are thoughtful moral agents who have used their capacity for critical reflection to arrive at compelling and deeply felt moral objections to using generative AI in their university work. We think edu…” evidence ↗
10 experts 4 communities 1 sources clustered
Iris van Rooij Olivia Guest Luke Stark Mél Hogan / The Data Fix Salomé Viljoen Benjamin Riley Ben Williamson Rosamunde Van Brakel +2
How the network is reacting 2 experts are emphasizing concern & critique.
Shared emphasis

Concern & critique

2 experts

Risks, limits and unintended consequences.

“"Our students—and others in their AI-skeptical generation—are thoughtful moral agents who have used their capacity for critical reflection to arrive at compelling and deeply felt moral objections to using generative AI in their university work. We think edu…”

2 experts discussed this · 5 posts
Iris van Rooij: "The class atmosphere became tense as more students pushed back against this required use of generative AI. They wanted to know what their classmates thought rather than what a large language model…
Iris van Rooij: “(...) they wanted to work together across their human differences to negotiate new ideas and find ways of expressing them. And they didn’t want to outsource any of this effort to generative AI. Th…
Olivia Guest: "The class atmosphere became tense as more students pushed back against this required use of generative AI. They wanted to know what their classmates thought rather than what a large language model…
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Primary source insidehighered.com ↗