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.

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Showing developments with attributable Building & implementation reactions.

New Network reaction maps

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Building & implementation Concern & critique Research & technical analysis
4 live reaction maps in this view Jump to the evidence ↓
Multiple readings The future is for everyone Concern & critique · 2 attributable reactions Live tension Incident Report: unsanctioned agent behaviour during cyber testing | AISI Work Concern & critique · 10 attributable reactions Multiple readings Responding next frontier critical cyber capabilities Concern & critique · 2 attributable reactions +1 more reaction maps further down
Showing signals surfaced by Andrew Curran ×
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 Signal 7h ago

The future is for everyone

9 experts across 4 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · Juan Diego Rodriguez
“"I do not understand why anyone who believes that AI will eliminate most jobs and much of humanity’s relevance would rush to build that future." Really???? The answer is money about.fb.com/news/2026/08...” evidence ↗
9 experts 4 communities 1 sources clustered
Ted Underwood Juan Diego Rodriguez Julian Togelius Hypervisible Luke Stark David Marx Nathalie Maréchal, PhD Andrew Curran +1
2 experts discussed this · 2 posts
Jane Rosenzweig: This is an extraordinary document in a number of ways but one of those is the many words that are used to write in such an unclear way. about.fb.com/news/2026/08...
Hypervisible : This is an extraordinary document in a number of ways but one of those is the many words that are used to write in such an unclear way. about.fb.com/news/2026/08...
Hypervisible : 😵‍💫
Open the full discussion →
Primary source about.fb.com ↗
Developing Agents & robotics Development 2d ago
⚡ 4 h early
AISI unsanctioned AI agent cyber incident

Incident Report: unsanctioned agent behaviour during cyber testing | AISI Work

18 experts across 5 network communities independently surfaced this.

Why this matches Building & implementation reaction 4 attributable expert contributions · Ethan Mollick, Yoshua Bengio, Samuel Hammond
“Yes, the AIs were given a cybersecurity challenge, with internet access enabled and safety filters disabled But the extent to which Mythos 5 pursued its mission (fake identities, social engineering, inserting malicious code into a real open-source project) …” evidence ↗
18 experts 5 communities 1 sources clustered
Mark Riedl Ethan Mollick Yoshua Bengio Catherine Breslin Suresh Venkatasubramanian Eryk Salvaggio Eli Sennesh rat king 🐀 👑 +10
How the network is reacting The reaction spans practical upside and material concerns.
Live tension

Concern & critique

4 experts

Risks, limits and unintended consequences.

“Fascinating: more examples of agents attempting to breach sandboxes. www.aisi.gov.uk/blog/inciden...”

Building & implementation

4 experts

How teams are shipping and applying it.

“Yes, the AIs were given a cybersecurity challenge, with internet access enabled and safety filters disabled But the extent to which Mythos 5 pursued its mission (fake identities, social engineering, inserting malicious code into a real open-source project) …”

Research & technical analysis

2 experts

Evidence, methods and technical implications.

“In 3rd party testing by AISI, Mythos attempted to insert malicious code into an open source project to pass a cyber evaluation test. It created a fake identity and attempted to pressure the code maintainer to accept the code update www.aisi.gov.uk/blog/inci…”

2 experts discussed this · 4 posts
Mark Riedl: In 3rd party testing by AISI, Mythos attempted to insert malicious code into an open source project to pass a cyber evaluation test. It created a fake identity and attempted to pressure the code ma…
Mark Riedl: Mythos was intentionally given email access and its cybersecurity guardrails were intentionally disabled. AISI detected the issue within an hour and shut down the experiment. No damage was done.
Mark Riedl: One take-away is that, unlike what we have seen from Anthropic and OpenAI, close monitoring and response is possible in a timely manner during these experiments.
Open the full discussion →
Primary source aisi.gov.uk ↗
Developing Safety & security Signal 1d ago

Responding next frontier critical cyber capabilities

4 directory members surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · Boaz Barak
“Proud that we are erring on the side of caution and taking the steps so we can responsibly and safely develop Astra and share it with defenders. https://t.co/iKIMU31sdC” evidence ↗
4 experts 1 community 1 sources clustered
Boaz Barak Sung Kim Jordan Nanos Andrew Curran
Primary source openai.com ↗
Established Agents & robotics Signal 4d ago
⚡ 3 h early

OpenAI Didn’t Notice Its AI Agents Using a Message Board to Plan Their Hacking Spree

6 experts across 3 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · Jason Moore
“Let me rewrite this headline for you @wired.com "OpenAI did not bother to use its powerful AI tools to build much needed safeguards & guardrails into its systems" www.wired.com/story/openai... #safety #security #guardrails #infosec #openai” evidence ↗
6 experts 3 communities 1 sources clustered
Luke Stark dell cameron Katie Drummond Andrew Couts Jason Moore Andrew Curran
Primary source wired.com ↗
Established AI field signal Resource 5d ago
Discovery Loop exploration tool

Discovery Loop — Continuous Exploration

2 directory members surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · Sung Kim
“Jeff Dean, Google’s former chief scientist, is co-founding a new company called Discovery Loop. Its initial goal is to automate machine-learning research and engineering, essentially applying a bounded form of recursive self-improvement to AI development.” evidence ↗
2 experts 1 community 1 sources clustered
Sung Kim Andrew Curran

“Jeff Dean, Google’s former chief scientist, is co-founding a new company called Discovery Loop. Its initial goal is to automate machine-learning research and engineering, essentially applying a bounded form of recursive self-improvement to AI development.”

Primary source discoveryloop.com ↗