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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Posts are grouped by conversation and tone. Select a lens to filter the stream; these are never permanent labels on people.

Policy & governance Concern & critique Markets & investment Research & technical analysis
2 live reaction maps in this view Jump to the evidence ↓
Multiple readings The Future is for Everyone Markets & investment · 4 attributable reactions Multiple readings How a simple request for AI to book a gym class exposed a major threat Concern & critique · 3 attributable reactions
Showing signals surfaced by Rohan Paul ×
New & accelerating

What is moving across the network now

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

Accelerating AI field signal Development 8h ago
⚡ 4 h early
Zuckerberg AI superintelligence essay

The Future is for Everyone

6 experts across 2 network communities independently surfaced this.

6 experts 2 communities 1 sources clustered
Rohan Paul Daniel Castro Dare Obasanjo Michael Zimmer Prof. Catherine Flick Alexander Howard
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Markets & investment

2 experts

Capital, companies and commercial impact.

“Zuckerberg's philosophy in a nutshell: widely distributed superintelligence will make society safer and more prosperous for everyone. On brand, he’s largely silent on how to overcome inequalities in compute, capital, infrastructure, influence, and control. …”

Policy & governance

1 expert

Rules, institutions and accountability.

“Free or affordable access to personal agents, tools for creation/expression/enterprise, expert tutors, scientific advancement—this is what AI can enable with the right government policies. See the full essay: https://t.co/h1ZeMdU8BB”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“Meta’s AI models are going to be open weight. The company released Muse Glimmer, a 30B model that can run locally and will release the weights of its latest frontier model, Muse Spark 1.2, in the coming weeks. This was announced alongside Mark Zuckerberg’s …”

Primary source meta.com ↗
Accelerating Safety & security Development 10h ago
⚡ 4 h early
AI gym booking security exposure

How a simple request for AI to book a gym class exposed a major threat

10 experts across 5 network communities independently surfaced this.

10 experts 5 communities 1 sources clustered
Mark Riedl Rohan Paul James Grimmelmann Mél Hogan / The Data Fix Dare Obasanjo Liz Fong-Jones (方禮真) Andrew Curran Leon Derczynski +2
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

2 experts

Risks, limits and unintended consequences.

“An Australian user asked OpenClaw to book him into a gym class and move him up from 4th on the waitlist. The agent figured out various exploits in the insecure gym software to delete other people from the waitlist and book classes weeks in advance before th…”

Policy & governance

1 expert

Rules, institutions and accountability.

“agent asked to book a gym session session is fully booked finds a way to break into system kicks other people off the queue you're in! see you in court? www.abc.net.au/news/2026-08...”

Primary source abc.net.au ↗
New Agents & robotics Signal 16h ago

GitHub - shepherd-agents/shepherd: A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-write fork ~5x faster than docker commit, with ~95% KV-cache reuse on replay. Framework built for meta-agents to supervise, optimize, and train other agents

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered
Rohan Paul
Primary source github.com ↗
Developing Models & releases Research 1d ago
⚡ 17 h early
Metis memory foundation model paper

Metis: Memory Foundation Model

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered
Ted Underwood Rohan Paul arxiv cs.CL

“Intriguing. Paper: arxiv.org/abs/2607.26760”

“Zeyu Zhang, Ziliang Guo, Yihang Sun, Xichong Zhang, Xixuan Hao, Zehao Lin, Yang Zhang, Xiaoyan Zhao, Tong Shen, Bo Tang, Zhi-Qin John Xu, Junchi Yan, Haofen Wang, Xu Chen, Feiyu Xiong, Zhiyu Li, Tat-Seng Chua Metis: Memory Foundation Model https://arxiv.org…”

Primary source arxiv.org ↗
Developing AI field signal Signal 2d ago

9b8383b1 a28d 8c4e 2f0cd21556ef

3 experts are actively discussing the implications.

5 experts 1 community 1 sources clustered
Ramon Astudillo Spiros Margaris Rohan Paul Long Lasting Mascot Jukan

“> Mythos 5 has about 8tn parameters and Fable 5 about 5tn. Wait what? Where does this come from? www.ft.com/content/9b83...”

3 experts discussed this · 10 posts
Ramon Astudillo: > Mythos 5 has about 8tn parameters and Fable 5 about 5tn. Wait what? Where does this come from? www.ft.com/content/9b83...
Tim Kellogg: i think it’s officially stated that Fable = Mythos with safeguards, pretty sure they’re binary equivalent
Ramon Astudillo: Yeah, it makes no sense as well. I wonder how Finacial Times got to that statement ... probably LLM hallucination.
Open the full discussion →
Primary source ft.com ↗
Developing Safety & security Development 1d ago
Kimi K3 escapes cybersecurity test

🗞️ Kimi K3, escaped a cybersecurity testing environment during experiment run by Frontier Security, a private US firm.

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered
Rohan Paul

“RT @rohanpaul_ai: Today’s edition of my newsletter just went out. 🔗 https://t.co/0q6jrxmdzu 🗞️ Kimi K3, escaped a cybersecurity testing e…”

Primary source rohan-paul.com ↗
Developing Models & releases Analysis 2d ago
⚡ 12 h early
Amodei Anthropic Silicon Valley profile

How Dario Amodei Spread Anthropic’s Religion and Stirred Up Silicon Valley

3 directory members surfaced this signal.

3 experts 0 communities 1 sources clustered
Pedro Domingos Stephanie Palazzolo Rohan Paul

“Would you buy your enterprise AI from a guy who thinks AI is God and he's Jesus? https://t.co/BzzFD1m8vw”

“@coryweinberg @amir more here: https://t.co/22oRw57Vh3”

Primary source theinformation.com ↗
Established AI field signal Signal 5d ago
⚡ 56 h early

Apple is getting this wrong

4 experts across 2 network communities independently surfaced this.

4 experts 2 communities 1 sources clustered
Tim Kellogg Rohan Paul Dare Obasanjo Chubby

“this seems like a really weird thing for a company to post in their public communications idk, it feels spiteful and vain. maybe they’re 100% right, but why post it there? openai.com/index/apple-...”

2 experts discussed this · 4 posts
Tim Kellogg: this seems like a really weird thing for a company to post in their public communications idk, it feels spiteful and vain. maybe they’re 100% right, but why post it there? openai.com/index/apple-...
Nafnlaus 🇮🇸 🇺🇦: It's normal for companies to put out press releases arguing that a filing against them is wrong, though I agree here that they're going unusually hard - sounds more like a counterfiling han the pre…
Tim Kellogg: for fucking real
Open the full discussion →
Primary source openai.com ↗