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
Build my stream Create my edition
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.

Building & implementation Concern & critique Research & technical analysis
1 live reaction map in this view Jump to the evidence ↓
Multiple readings Discovery of a new OpenAI agent message board Concern & critique · 3 attributable reactions
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.

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
Ted Underwood Ethan Mollick Ryan Moulton Sung Kim Grace Eileen Clancy 🧿 thebes Fran Litterio +2
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 →
Primary source collusion.wiki ↗
Developing Agents & robotics Resource 1d ago
⚡ 4 h early
Simon Willison Blender pelican bicycle AI experiment

gpt-6-astra-blender-pelican-bicycle/work/pelican_scene.py at main · simonw/gpt-6-astra-blender-pelican-bicycle

4 experts are actively discussing the implications.

2 experts 2 communities 2 sources clustered
Simon Willison David Picard

“Not sure! I didn't use the MCP, I had Codex drive Blender directly though their Python API and there's no sign of C2PA in the code: github.com/simonw/gpt-6...”

4 experts discussed this · 13 posts
Simon Willison: New TIL on using Blender with coding agents on macOS: til.simonwillison.net/llms/blender... GPT-6 Astra (medium): > Use the already install /Applications/Blender to render a scene of a pelican ridi…
Simon Willison: It's one of my favorite prompts, I find it entertaining and ridiculous that you can tell computers "do it better" these days and they usually do!
Ted Underwood: We're going to need a more challenging version of this, like: "engineer pelicans that actually can ride bicycles; and, for extra credit, otters that use wifi."
Open the full discussion →
Primary source github.com ↗ til.simonwillison.net ↗
More conversations

What experts are discussing without an anchoring article

3 experts · 8 posts · 21h ago
Mark Riedl James MacGlashan B! 🐝 Cavello (they/them)
Multiple readings Concern & critique · 1 Research & technical analysis · 1
Mark Riedl: We all laughed at Nadella for defining AGI as a percentage of annual growth in GDP. Lately I’ve come to think this might be a reasonable frame. Show me some hard numbers.
Mark Riedl: What I don’t like about that frame is that it reduces the notion of intelligence, and perhaps human value, to the work that gets produced. That’s bleak.
Open the thread →
2 experts · 8 posts · 1d ago
Ted Underwood Matthew Kirschenbaum
Matthew Kirschenbaum: The problem space we’re in is one in which neither any whiff of AI risks permanent reputational damage nor technocratic Dean wants to replace writing instruction with AI is a good or sustainable fu…
Matthew Kirschenbaum: The problem space is also one in which the debate is sufficiently polarized that the vast majority think either the one or the other is the correct position.
Open the thread →