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 3,304 tracked across all sources
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What is moving across the network now

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

New Models & releases Signal 3h ago

Anthropic ipo valuation hinges billion revenue forecast sources say

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Absolutely astonishing story from Reuters, saying that Anthropic’s valuation is based on theoretical revenues of $180-200bn in 2028, and that its “current EBITDA does not fully capture the economics investors expect the company to achieve at scale.” Mislead…”

New Models & releases Signal 13h ago
⚡ 5 h early

OpenAI and Anthropic in price war as Chinese AI rivals gain ground

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“time for our disemboweled keystone cops regulators to pretend they have the competency to ban all Chinese, open source, and on-device alternatives to big tech walled garden AI you know, for national security and because they are just super concerned about p…”

New Models & releases Research 23h ago
⚡ 3 h early
global workspace theory language models paper

A global workspace in language models \ Anthropic

7 experts across 4 network communities independently surfaced this.

7 experts 4 communities 1 sources clustered
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Research & technical analysis

2 experts

Evidence, methods and technical implications.

“LLMs similarly have nonphenomenal access to information, and can reflect and use memory. This is indeed similar in principle, while the cognitive architecture is vastly less complex (yet), and likely won't catch up anytime soon. Add to this Anthropics j-spa…”

Markets & investment

1 expert

Capital, companies and commercial impact.

“Anthropic has a new paper out, alleging a global workspace in LLMs. The term comes from Global Workspace Theory, a leading theory of consciousness. The method they use to investigate this is a refinement of logit lens, which they call J-lens. www.anthropic.…”

Building & implementation

1 expert

How teams are shipping and applying it.

“Some really interesting research from Anthropic that AI models have spontaneously developed a workspace that "appears to support the functions associated with conscious access" Demo of how this works: www.neuronpedia.org/qwen3.6-27b/... Research: www.anthro…”

2 experts discussed this · 4 posts
Tim Duffy: Anthropic has a new paper out, alleging a global workspace in LLMs. The term comes from Global Workspace Theory, a leading theory of consciousness. The method they use to investigate this is a refi…
Tim Duffy: More detail on the method from the paper:
Grace: Anthropic has a new paper out, alleging a global workspace in LLMs. The term comes from Global Workspace Theory, a leading theory of consciousness. The method they use to investigate this is a refi…
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New Models & releases Signal 5h ago

OpenAI talent exodus raises 'huge red flag' ahead of IPO

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“OpenAI's Chief Revenue Officer bolted from the company after just 4 months, and "likely walked away from a large pay package by leaving OpenAI after less than one year." Along with departures of other executives, it's a "huge red flag" for OpenAI's upcoming…”

New Models & releases Signal 8h ago

Are Large Language Models Reliable Reviewers? A Benchmark for Error Detection in Financial Documents

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Ying He, Zhouhong Gu, Zhecheng Hu, Yubo Zhou, Hao Shen, Jiaqing Liang, Zhaoqian Dai, Shuguang Ma, Fei Yu, Yanghua Xiao, Zhixu Li Are Large Language Models Reliable Reviewers? A Benchmark for Error Detection in Financial Documents https://arxiv.org/abs/2608.…”

New Models & releases Signal 8h ago

Large Language Models Pass the History Exam But Miss the <<History>>: A Polish High School Exit Exam Matura Benchmark

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Adrian Trzoss, Kacper Dudzic, Wiktor Werner, Marcin Moskalewicz Large Language Models Pass the History Exam But Miss the <<History>>: A Polish High School Exit Exam Matura Benchmark https://arxiv.org/abs/2608.12343”

New Models & releases Signal 8h ago

New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Shiyao Cui, QingLin Zhang, Di Wang, Yida Lu, Zhexin Zhang, Jinhua Gao, Jinglin Yang, Min He, Han Qiu, Minlie Huang New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs https://arxiv.org/abs/2608.12361”

New Models & releases Signal 8h ago

Unified Multi-Dimensional Benchmark for Complex Graph Reasoning in Large Language Models

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“Fali Wang, Ali Al-Lawati, Iliyas Bektas, Jinxuan Fang, Alek Melenski, Tianxiang Zhao, Yao Ma, Suhang Wang Unified Multi-Dimensional Benchmark for Complex Graph Reasoning in Large Language Models https://arxiv.org/abs/2608.12391”

What experts are discussing without an anchoring article

4 experts · 28 posts · 1d ago
Reaction converging Concern & critique · 3
Doll: Doll already said what the solution was. Open up the frontier models to defenders. Thats your only move. They need to stop playing fuck fuck games with access.
Doll: The genie is out of the bottle all they are doing now is making it easy for the bad guys. As it said and it was right.
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5 experts · 10 posts · 2d ago
rev. howard arson: the reason you cannot make a LLM out of "consensually-collected data" is that the predicate is knowing the identities of two billion people to a sufficient level of accuracy that you can form a val…
rev. howard arson: then, if you get a thousand words from half of them, congratulations: you have hit the one trillion token mark. the one trillion token mark is not even table stakes to get off of the flat part of t…
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2 experts · 33 posts · 1d ago
Multiple readings Concern & critique · 1 Questions & unknowns · 1
Isaiah Bishop: I know people are like "oh yeah history is full of well structured big datasets *eye roll*" dawg thats the like peak LLM usecase. Getting it to make papers is crazy. it probably can achieve human e…
Isaiah Bishop: Its so much better on OCR its nuts. Structured text. Pulling numbers from arbitrary tables, maintaining the table structure, was basically fucking impossible 3 years ago
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