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
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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.

The developments commanding sustained expert attention

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 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 3 sources clustered

“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 →
New Agents & robotics Signal 5h ago

Value-Preserving Architectures for Agentic AI Systems

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Value-Preserving Architectures for Agentic AI Systems Alessandro Pesare, Tommaso Dolci, Katja Hose, Emanuel Sallinger https://t.co/9ELgdofMNN [𝚌𝚜.𝙰𝙸] 💬Accepted to AgenticDev Workshop at ASE 2026 https://t.co/jm4hh6NP4F”

New Agents & robotics Signal 7h ago

Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations Lei Zheng, Liping Yang, Zihao Li, Guodong Lyu, Chaik Ming Koh, Chung-Piaw Teo https://t.co/YhpNsfyctL [𝚌𝚜.𝙰𝙸 𝚖𝚊𝚝𝚑.𝙾𝙲] https://t.co/hObk54Ds7r”

New Agents & robotics Research 9h ago
DNative-Twin agentic decisions paper

DNative-Twin: Decision Graphs and Digital Twins for Reconstructable Agentic Decisions

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“DNative-Twin: Decision Graphs and Digital Twins for Reconstructable Agentic Decisions Junjie Pang, Zhenzhen Xie, Haoke Han, Ying He, Jing Wang, Gang Liu https://t.co/jBvXaWfPEC [𝚌𝚜.𝙰𝙸] https://t.co/FfJwOwURKj”

New Agents & robotics Research 10h ago
world models safety embodied systems paper

Rethinking World Models for Safety-Critical Embodied Systems

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Rethinking World Models for Safety-Critical Embodied Systems Kailang Ma, Heye Huang, Inhi Kim, Kitae Jang https://t.co/MUBhLdf6rR [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝚁𝙾] https://t.co/JBJaOuw1PC”

New Agents & robotics Research 10h ago
SimSkill traffic simulation lifelong learning paper

SimSkill: A Lifelong Learning AI Agent for Autonomous Mastery of Traffic Simulation

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“SimSkill: A Lifelong Learning AI Agent for Autonomous Mastery of Traffic Simulation Qi Liu, Qinzheng Wang, Yiming Bie https://t.co/C60jMsGxzs [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙼𝙰] https://t.co/QP4yBYQDrU”

New Agents & robotics Research 11h ago
proactive service agents framework paper

Proactive Service Agents: A Unified Decision Framework, Methods, and Evaluation

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Proactive Service Agents: A Unified Decision Framework, Methods, and Evaluation Yan Tang, Tingyu Cao, Yuanbo Tang, Huaze Tang, Keer Hu https://t.co/p0WOLTaiR2 [𝚌𝚜.𝙰𝙸] https://t.co/YyJOL3cky6”

New Agents & robotics Research 13h ago
knowledge conflicts LLM agents benchmark

KC-Bench: A Dynamic Interactive Benchmark for Evaluating Knowledge Conflicts in LLM Agents

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“KC-Bench: A Dynamic Interactive Benchmark for Evaluating Knowledge Conflicts in LLM Agents Yaxing Lyu, Shengjie Zhou, Binbin Toh, Pengyu Zhu, Lijun Li https://t.co/D6NGUMN2Dk [𝚌𝚜.𝙰𝙸] https://t.co/flZRys2aZV”

New Models & releases Research 17h ago
tool evidence path rewards VLM agents paper

Making Every Tool Call Count: Necessary Tool-Evidence Path Rewards for Agentic Vision-Language Models

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Making Every Tool Call Count: Necessary Tool-Evidence Path Rewards for Agentic Vision-Language Models Xingming Long, Yu Liu, Zhiwei Yang, Hanqi Feng, Shaojie Zhang, Barnabas Poczos, Chao Jiang, Zhenbo Luo, Lei Jiang, Pei Fu https://t.co/zYxTdOalOY [𝚌𝚜.𝙰𝙸] h…”

New Agents & robotics Research 18h ago
GUI agent conflict-aware termination paper

Do GUI Agents Know When Not to Act? Enabling Conflict-Aware Termination for Multimodal GUI Agents

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Do GUI Agents Know When Not to Act? Enabling Conflict-Aware Termination for Multimodal GUI Agents Zhaoyuan Huang, Tianjie Ju, Pengzhou Cheng, Zheng Wu, Yansi Li, Chuanbiao Song, Jun Lan, Huijia Zhu, Weiqiang Wang, Zhuosheng Zhang https://t.co/hftDxaZMx6 [𝚌𝚜…”

New Evaluation & benchmarks Research 19h ago
full-duplex voice agent instruction benchmark

DuplexSpeechBench-IFEval: Evaluating Implicit Instruction Following in Full-Duplex Voice Agents

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“DuplexSpeechBench-IFEval: Evaluating Implicit Instruction Following in Full-Duplex Voice Agents Puneet Mathur, Dinesh Manocha https://t.co/YdP9x2TgbN [𝚌𝚜.𝙰𝙸] https://t.co/kywmVLJtq3”

New Agents & robotics Research 20h ago
LLM agent memory dependency validation paper

Fresh Memory, Stale Plans: Dependency-Scoped Validation for Distributed LLM-Agent Memory

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Fresh Memory, Stale Plans: Dependency-Scoped Validation for Distributed LLM-Agent Memory Evan Chen, Shiqiang Wang, Christopher G. Brinton https://t.co/wDnAZ9KC6P [𝚌𝚜.𝙰𝙸] https://t.co/zCFx0XuYES”

New Agents & robotics Research 21h ago
speculative macro commit tool agents paper

Speculative Macro Commit for Faster Tool-Using Agents

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Speculative Macro Commit for Faster Tool-Using Agents Zeyu Liu, Souvik Kundu, Peter A. Beerel https://t.co/KhnkYOdi06 [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙼𝙰] 💬Accepted in MLSP2026 https://t.co/df3xv0mDrY”

New Agents & robotics Research 22h ago
discriminative world models web agents paper

Discriminative World Models for Web Agents

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Discriminative World Models for Web Agents Kelvin Li, Dhruv Pendharkar, Anish Pahilajani, Chuyi Shang, Leon Oks, Leonid Karlinsky, Rogerio Feris, Trevor Darrell, Roei Herzig https://t.co/502VudqH7f [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶] https://t.co/bz28prUXx8”

New Agents & robotics Research 23h ago
self-evolving LLM harness optimization paper

SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment

1 directory member surfaced this signal.

1 expert 0 communities 2 sources clustered

“SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment Qinghua Mao, Wanying Qu, Dadi Guo, Leitao Yuan, Qingyu Liu, Yu Li, Guanxu Chen, Yanwei Fu, Xi Lin, Xia Hu, Dongrui Liu https://t.co/QjDL9HH0lH [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝚁] 💬Code: https://t.…”

New AI business Research 23h ago
RAG factory agents sub-network paper

Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents Vasileios Rizeakos, Georgios Paisios, Alexandros Machairas, Michael Birbas, Athanasios Bachoumis https://t.co/7CMHBgWeL0 [𝚌𝚜.𝙰𝙸] https://t.co/TnVAy2ZIhD”

What experts are discussing without an anchoring article

3 experts · 8 posts · 20h ago
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 · 23h ago
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 →