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.

2,397 searchable experts 4,280 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.

Research & technical analysis Building & implementation
5 live reaction maps in this view Jump to the evidence ↓
Shared emphasis Recursive Self-Improvement through Multi-Agent Self-Supervision Research & technical analysis · 2 attributable reactions Multiple readings GitHub - SakanaAI/AI-Scientist-v3: The Agentic Scientist: Orchestrating Coding Agents for Automated Scientific (Co-)Discovery Building & implementation · 2 attributable reactions Shared emphasis Multi-Agent Self-Supervision (MASS) Research & technical analysis · 2 attributable reactions +2 more reaction maps further down
Showing signals surfaced by hardmaru ×
Most important

The developments commanding sustained expert attention

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

Established AI field signal Signal 10d ago
⚡ 5 h early

Recursive Self-Improvement through Multi-Agent Self-Supervision

4 experts across 2 network communities independently surfaced this.

4 experts 2 communities 1 sources clustered
hardmaru Sakana AI Arseny Khakhalin Michiel Bontenbal
Primary source arxiv.org ↗
Established Agents & robotics Release 7d ago
⚡ 5 h early
SakanaAI AI Scientist v3 release

GitHub - SakanaAI/AI-Scientist-v3: The Agentic Scientist: Orchestrating Coding Agents for Automated Scientific (Co-)Discovery

3 directory members surfaced this signal.

3 experts 1 community 1 sources clustered
hardmaru Sakana AI Isaiah Bishop
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Building & implementation

1 expert

How teams are shipping and applying it.

“Humans define the question and the standards of evidence; agents expand the experiments researchers can run. We call this Co-Discovery, and we are releasing both systems as open source for the community to build on. Blog: pub.sakana.ai/agentic-scie... GitHu…”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“Incredible work by Robert Lange, Luca Grillotti, Yutaro Yamada, Rujikorn Charakorn, and the team! GitHub: github.com/SakanaAI/AI-... Blog: pub.sakana.ai/agentic-scie... arXiv: arxiv.org/abs/2610.18933”

Primary source github.com ↗
Established AI field signal Signal 10d ago
⚡ 5 h early

Multi-Agent Self-Supervision (MASS)

4 experts across 2 network communities independently surfaced this.

4 experts 2 communities 1 sources clustered
hardmaru Sakana AI Arseny Khakhalin Michiel Bontenbal
Primary source pub.sakana.ai ↗
Established Agents & robotics Signal 7d ago
⚡ 5 h early

The Agentic Scientist: Orchestrating Coding Agents for Automated Scientific (Co-)Discovery

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered
hardmaru Sakana AI
Primary source arxiv.org ↗
Established AI field signal Development 17d ago
World Models Real-World AI Japan event

From World Models to Real-World AI｜日本から拓くAIの新時代 · Luma

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered
hardmaru Eli Sennesh Sakana AI

“The program features a keynote and Q&A by Jürgen and short talks by Sakana AI researchers on our work at the RSI Lab. - Date: Monday, October 26, 2026, 15:00–18:00 JST - Venue: Hitotsubashi Hall, Tokyo - Language: English - Admission: Free (registration req…”

“日時：2026年10月26日（月）15:00〜18:00 会場：一橋講堂（東京・千代田区） 言語：英語（通訳なし） 参加費：無料（事前登録制） ※ 席に限りがありますので、お早めにお申し込みください。 お申し込みはこちら： luma.com/kjf0z516 🐟”

Primary source luma.com ↗
Established AI field signal Signal 18d ago

jstage.jst.go.jp

3 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered
Ted Underwood hardmaru

“It is wild that this framework: compression progress as the basis for beauty, curiosity, art, science, and even jokes, was laid out in full formal detail in a Japanese journal 15 years ago.”

3 experts discussed this · 5 posts
hardmaru: Recently learned that Schmidhuber’s Formal Theory of Fun and Creativity, covering compression progress and intrinsic motivation and their relationship to beauty, curiosity, art, science, music, and…
hardmaru: It is wild that this framework: compression progress as the basis for beauty, curiosity, art, science, and even jokes, was laid out in full formal detail in a Japanese journal 15 years ago.
Ted Underwood: Recently learned that Schmidhuber’s Formal Theory of Fun and Creativity, covering compression progress and intrinsic motivation and their relationship to beauty, curiosity, art, science, music, and…
Open the full discussion →
Primary source jstage.jst.go.jp ↗
Established Agents & robotics Signal 7d ago
⚡ 5 h early

The Agentic Scientist: Orchestrating Coding Agents for End-to-End Scientific Co-Discovery

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered
hardmaru Sakana AI
Primary source pub.sakana.ai ↗
Established Models & releases Release 20d ago
⚡ 3 h early
Sakana AI announcement

Sakana AI

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered
hardmaru Sakana AI

“The new Sakana AI website is live. 🐡 We have updated our digital home to reflect our products, enterprise solutions, and latest research. Sakana AIの新サイトを公開しました。エンタープライズ事例やApplied Teamの採用情報も更新しています。ぜひご覧ください！ sakana.ai”

Primary source sakana.ai ↗