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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Showing developments with attributable Building & implementation reactions.

New Network reaction maps

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Building & implementation Policy & governance Research & technical analysis
2 live reaction maps in this view Jump to the evidence ↓
Multiple readings Sakana Chat Policy & governance · 2 attributable reactions Multiple readings Sakana AI Building & implementation · 2 attributable reactions
Showing signals surfaced by Sakana AI ×
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.

New Models & releases Release 9h ago
⚡ 2 h early
Sakana AI chat product launch

Sakana Chat

3 directory members surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · hardmaru
“We just pushed a big update to Sakana Chat Free to use: chat.sakana.ai A big motivation for this release is getting people in Japan, especially kids, excited about software development. Vibe-coding turns Kanji & Math drills during the summer break into fun …” evidence ↗
3 experts 1 community 2 sources clustered
David Ha hardmaru Sakana AI
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Policy & governance

1 expert

Rules, institutions and accountability.

“Here is a quick 60-second summary of vibe-coding in Sakana Chat: • An interactive math game for kids • A fully cited market research report • A Bank of Japan interest rate analysis • A vessel monitor for the Strait of Hormuz Use it for free: https://t.co/FC…”

Building & implementation

1 expert

How teams are shipping and applying it.

“We just pushed a big update to Sakana Chat Free to use: chat.sakana.ai A big motivation for this release is getting people in Japan, especially kids, excited about software development. Vibe-coding turns Kanji & Math drills during the summer break into fun …”

Primary source chat.sakana.ai ↗ sakana.ai ↗
Established AI field signal Signal 6d ago
⚡ 9 h early

Augmented Lagrangian Predictive Coding: training 1000-layer networks without backpropagation

3 experts across 2 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · Sakana AI
“Deep learning relies on backprop, but the brain can't implement it exactly. How can physical systems solve multilayer credit assignment? We draw on distributed optimization and NeuroAI, where predictive coding uses local error dynamics, but credit signals s…” evidence ↗
3 experts 2 communities 1 sources clustered
hardmaru Sakana AI Michiel Bontenbal

“Deep learning relies on backprop, but the brain can't implement it exactly. How can physical systems solve multilayer credit assignment? We draw on distributed optimization and NeuroAI, where predictive coding uses local error dynamics, but credit signals s…”

Primary source pub.sakana.ai ↗
Established Models & releases Release 9d ago
⚡ 4 h early
Sakana Fugu multi-agent model release

Sakana Fugu — Multi-agent System as A Model

3 experts across 2 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · hardmaru
“By orchestrating the world's models, we are building the resilient infrastructure required for AI sovereignty. Try: sakana.ai/fugu Blog: sakana.ai/fugu-max-rel... 🐡” evidence ↗
3 experts 2 communities 1 sources clustered
hardmaru Eli Sennesh Sakana AI

“By orchestrating the world's models, we are building the resilient infrastructure required for AI sovereignty. Try: sakana.ai/fugu Blog: sakana.ai/fugu-max-rel... 🐡”

“Crucially, Fugu Ultra v2 does all of this without Fable 5, Fable 5.1, or GPT-6-Astra in its agent pool. The orchestration system evolved with model resiliency in mind. It does not rely on individual frontier models to deliver frontier output. sakana.ai/fugu”

Primary source sakana.ai ↗
Established Models & releases Release 8d ago
⚡ 5 h early
Sakana AI product page

Sakana AI

3 directory members surfaced this signal.

Why this matches Building & implementation reaction 1 attributable expert contribution · hardmaru
“By orchestrating the world's models, we are building the resilient infrastructure required for AI sovereignty. Try: sakana.ai/fugu Blog: sakana.ai/fugu-max-rel... 🐡” evidence ↗
3 experts 1 community 1 sources clustered
David Ha hardmaru Sakana AI
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.

“By orchestrating the world's models, we are building the resilient infrastructure required for AI sovereignty. Try: sakana.ai/fugu Blog: sakana.ai/fugu-max-rel... 🐡”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“Peak performance across hard benchmarks: • Best on 5/8 benchmarks (DeepSWE, Chartography, Toolathon, GDP.pdf, SWEFish) • Chartography: 48.3 (outperforming Opus 5 & Fable 5) • DeepSWE: 74.3 Achieved without Fable 5, Fable 5.1, or GPT-6-Astra in the agent poo…”

Primary source sakana.ai ↗