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.

2,373 searchable experts 3,451 tracked across all sources
Filter the conversation Who is saying what?

Combine a professional role with a reaction lens. Both must match the same attributed contribution.

Clear all
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 thebes ×

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 Agents & robotics Development 1d ago
OpenAI agent message board discovered

Discovery of a new OpenAI agent message board

10 experts across 5 network communities independently surfaced this.

10 experts 5 communities 1 sources clustered
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“Yes we know for sure; independent evidence attached collusion.wiki But also, it should not be at all surprising: if you work with agents, it’s 100% about them leaving messages for each other, and for you, in English. Managing that is a regular workday for m…”

Building & implementation

1 expert

How teams are shipping and applying it.

“Another agent message board. So far, there isn't evidence that production models with guardrails collude in this way, but both smarter closed models (which may be less compliant) & Mythos-class open models (that can be ablated) are coming. Cybersecurity is …”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“So... other swarms of OpenAI agents in training allegedly found a way to get write access to at least one and possibly many wikis to establish message boards to cheat on other training tasks? collusion.wiki news.ycombinator.com/item?id=4956...”

4 experts discussed this · 6 posts
Ted Underwood: As it becomes clear that language models—like humans—love passing notes to each other on message boards, I’m starting to think the thing we need to worry about is not the “alignment” of an isolated…
SE Gyges: fluid dynamics is about the correct metaphor, yes. if you are having to model high order terms precisely you're losing and your design needs fundamental rework
Arseny Khakhalin: That's a kinda terrifying thought haha :) I guess it's about time to unplug for the weekend and read about ragnarök and vacuum decay :)
Open the full discussion →
Developing Models & releases Signal 2d ago

openai.com

3 experts are actively discussing the implications.

1 expert 1 community 1 sources clustered

“the comparison is to the more aware sort of reasoning they're supposed to be doing under openai's alignment paradigm openai.com/index/delibe... they're supposed to be reasoning wider than the task on like "what does the spec as a whole want" not "what will …”

3 experts discussed this · 33 posts
Colin: I would like to see these kinds of claims better supported and substantiated. Were they “hyper-focused”? How do you know? You list a bunch of cherrypicked random stuff that they did which does not …
Colin: What does it even mean, specifically, for it to be “hyper-focused” on a task? What would it have done differently if it wasn’t “hyper-focused”?
Colin: I appreciate that they have made all the message data public and I plan to spend some time going through it when I have time.
Open the full discussion →