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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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.

The developments commanding sustained expert attention

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

Accelerating AI field signal Signal 1h ago

An alien mind

7 experts across 4 network communities independently surfaced this.

7 experts 4 communities 1 sources clustered
Accelerating Models & releases Signal 1h ago

Research acceleration view inside openai

6 experts across 3 network communities independently surfaced this.

6 experts 3 communities 1 sources clustered
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 →
New Evaluation & benchmarks Development 14h ago
⚡ 4 h early
ARC-AGI-3 benchmark GPT-6 launch

OpenAI's GPT-6 Astra on ARC-AGI-3 | ARC Prize

4 experts across 4 network communities independently surfaced this.

4 experts 4 communities 1 sources clustered

“ARC has their own writeup of GPT-6 Astra's suspiciously high results, with my favorite genre of "more reasoning is cheaper" result. arcprize.org/blog/astra”

“Not a typo! Lotta caveats here it seems, but even the 62.7 score is an insane leap forward. ARC-AGI-3 is uniquely difficult. arcprize.org/blog/astra”

Developing Models & releases Research 1d ago
⚡ 4 h early
LLMs distort written language paper

How LLMs Distort Our Written Language

4 experts across 2 network communities independently surfaced this.

4 experts 2 communities 1 sources clustered
How the network is reacting 3 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

3 experts

Evidence, methods and technical implications.

“Fantastic paper demonstrating how LLM editing is gradually distorting our writing and the way we think to write: arxiv.org/abs/2603.18161”

3 experts discussed this · 4 posts
Eugene Vinitsky: Fantastic paper demonstrating how LLM editing is gradually distorting our writing and the way we think to write: arxiv.org/abs/2603.18161
Eugene Vinitsky: Sitting in Marwa's fantastic PhD defense, trying my best not to just retweet all her papers
Isaiah Bishop: Fantastic paper demonstrating how LLM editing is gradually distorting our writing and the way we think to write: arxiv.org/abs/2603.18161
Open the full discussion →
New Models & releases Development 9h ago
⚡ 7 h early
Claude email inbox management feature

Claude can help manage your email inbox, but there are some risks involved - Engadget

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“I think it’s cool how “this toaster might electrocute you” or “these brakes don’t always work” is acceptable in consumer products because it’s software.”

New Models & releases Research 2h ago
multimodal LLM industrial measurement paper

InSituMeasure: Probing Situated Measurement Grounding in Industrial Scenes with Multimodal Large Language Models

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered

“InSituMeasure: Probing Situated Measurement Grounding in Industrial Scenes with Multimodal Large Language Models Chao Shen, Xinyuan Li, Yunfan Zhou, Jianguo Yao, Haibing Guan, Zhihai Wang, Xijun Li https://t.co/e8QsqSVeHF [𝚌𝚜.𝙰𝙸] https://t.co/oifnzphd2j”

“A study shows Multimodal Large Language Models struggle with gauge reading, achieving just 25.7% accuracy in task performance. The InSituMeasure benchmark highlights issues from noise and viewpoint changes, indicating a need for better training in complex c…”

New Models & releases Research 17h ago
⚡ 42 h early
KV cache eviction LLM inference paper

What Matters for Aggressive Decoding-Time KV Eviction? Temporal Aggregation and Ranking Preservation

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered

“What Matters for Aggressive Decoding-Time KV Eviction? Temporal Aggregation and Ranking Preservation Bo Zeng, Yu Zhao, Yefeng Liu, Zhihong Lu, Xuanfan Ni, Xintong Wang https://t.co/tbYw6rrBW8 [𝚌𝚜.𝙰𝙸] 💬Accepted to EMNLP 2026 Main Conference https://t.co/hhqr…”

“A breakthrough in KV cache compression shows that temporal aggregation stabilizes retention decisions, leading to InertiaKV, boosting decoding speed by 46% with little quality loss, shifting focus from scoring functions to aggregation for efficient AI. http…”

Developing Models & releases Analysis 1d ago
⚡ 4 h early
ChatGPT EU DSA designation analysis

What ChatGPT’s DSA Designation Means for OpenAI and the EU

3 directory members surfaced this signal.

3 experts 1 community 2 sources clustered

“The European Commission designated ChatGPT as a Very Large Online Search Engine under the DSA on Aug. 31. Mathias Vermeulen and Laureline Lemoine on what the obligations require and whether a DMA gatekeeper designation could follow.”

“The European Commission designated ChatGPT as a Very Large Online Search Engine under the DSA on Aug. 31. Mathias Vermeulen and Laureline Lemoine on what the obligations require and whether a DMA gatekeeper designation could follow. buff.ly/7lTPiCq”

New Models & releases Signal 14m ago

Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable Shai Vardi, João Sedoc https://t.co/bGImB29Kqk [𝚌𝚜.𝙰𝙸] https://t.co/buj22nFgKj”

New Models & releases Signal 33m ago

Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM Sergii Kozyrev, Davyd Maiboroda https://t.co/vhJ07oHlbm [𝚌𝚜.𝙰𝙸] https://t.co/NiG1WedaKj”

New Models & releases Signal 1h ago

IRWOZ 2.0: A Large Language Model-driven Dialogue Dataset for Industrial Robot Conversations

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“IRWOZ 2.0: A Large Language Model-driven Dialogue Dataset for Industrial Robot Conversations Chen Li, Dimitrios Chrysostomou https://t.co/59gMlRkcT1 [𝚌𝚜.𝙰𝙸] https://t.co/pKe45Vje19”

New Models & releases Signal 2h ago

FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models Yalun Wu, Junfeng Fang, Jiawei Wang, Haotian Liu, Qijun Yang, … https://t.co/nxbzqpV1cV [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶] 💬Published as a conference paper at …”

New Models & releases Signal 3h ago

LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening Muhammad Ashad Kabir, Sirajam Munira https://t.co/urtS9hiPZp [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶] 💬Accepted at ICDM 2026 https://t.co/t0f5NQkfrQ”

New Culture, work & education Signal 5h ago

Speak for Me: Giving LLMs the Situational Awareness to Participate in a Meeting

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Speak for Me: Giving LLMs the Situational Awareness to Participate in a Meeting Muneeb Khan, Frederic Kirstein, Terry Ruas, Bela Gipp https://t.co/aWOLwrMie3 [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝙻] 💬Accepted at EMNLP 2026 Main https://t.co/BHfdbuF9cy”

New Models & releases Signal 7h ago

Xiaomi-TabLDM: A Tabular Foundation Model Technical Report

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Xiaomi-TabLDM: A Tabular Foundation Model Technical Report Xiaomi-TabLDM Team, :, Penghui Wang, Wei Liu, Hong Wang, Chengyue Huang, Yuxi Sun, Zirui Wang, Hongming Huang, Quan Wang, Chunxiao Liu, Erli Meng, Bin Wang https://t.co/6kbeqqC5UL [𝚌𝚜.𝙰𝙸] https://t.…”

What experts are discussing without an anchoring article

3 experts · 28 posts · 20h ago
tweety fish: lol I mean come the fuck on man. Of course it fucking is. If you hate AI enough to avoid any software coded using it—fine! supportable! go with god!—then at least use a fucking modicum of critical …
tweety fish: “Wow this would probably take like a hundred+ hours of work if you weren’t using AI and is super polished and elaborate and was made and released on a lark, not going to think about that any furthe…
Open the thread →
4 experts · 13 posts · 22h ago
Shared emphasis Concern & critique · 2
Andy Masley: If I avoid the word "alignment" and just ask "If we keep scaling AI models up, will we reliably avoid situations where they do something catastrophic pursuing a normal goal?" the answer seems like …
Andy Masley: , and I'm worried a lot of people really over-update on what we know about the safe behavior of current models or assume future models won't have a lot of the general "thinking" abilities normal hu…
Open the thread →
5 experts · 6 posts · 1d ago
Multiple readings Concern & critique · 1 Policy & governance · 1
Doll: The public attitude towards AI seems really incoherent. Like, the average voter's attitude appears to be "Data centers ate my baby! Now time to share 500,000 AI generated memes on my Facebook page."
critical slop studies: not so different from “I want affordable housing!” Combined with “I will block all housing in my neighborhood “
Open the thread →