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.

2,364 searchable experts 2,966 tracked across all sources
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Showing developments with attributable Research & technical analysis reactions.

New Network reaction maps

See how experts are reacting—not just what they shared.

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

Context & explanation Research & technical analysis
1 live reaction map in this view Jump to the evidence ↓
Multiple readings Introducing Muse Spark 1.1 Research & technical analysis · 2 attributable reactions
Showing signals surfaced by Rami Krispin ×
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 Culture, work & education Release 20d ago
⚡ 1 h early
Meta Muse Spark 1.1 release

Introducing Muse Spark 1.1

4 experts across 3 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Sung Kim
“Meta's muse spark 1.1 is an industry-competitive agentic and coding model. across many agentic evals it rivals gpt-5.5 and opus-4.8. available now through the new meta model api and in meta ai. ai.meta.com/blog/introdu...” evidence ↗
4 experts 3 communities 1 sources clustered
Ramon Astudillo Tim Kellogg Sung Kim Rami Krispin
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“Meta's muse spark 1.1 is an industry-competitive agentic and coding model. across many agentic evals it rivals gpt-5.5 and opus-4.8. available now through the new meta model api and in meta ai. ai.meta.com/blog/introdu...”

Context & explanation

1 expert

Background, chronology and why it matters.

“here’s the official announcement. they mention “multi-million” context, though i can’t find an exact number ai.meta.com/blog/introdu...”

Primary source ai.meta.com ↗
Established AI field signal Resource 16d ago
openscience AI research workbench release

GitHub - synthetic-sciences/openscience: The open-source AI workbench for scientific research

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Rami Krispin
“OpenScience is a new open-source AI workbench for scientific research: browser workspace + research agents that can read literature, write/run code, run experiments, query scientific databases, and write up results. github.com/synthetic-sc... #ai #opensource” evidence ↗
1 expert 1 community 1 sources clustered
Rami Krispin

“OpenScience is a new open-source AI workbench for scientific research: browser workspace + research agents that can read literature, write/run code, run experiments, query scientific databases, and write up results. github.com/synthetic-sc... #ai #opensource”

Primary source github.com ↗
Established Culture, work & education Development 12d ago

First Look at Kimi K3: The Biggest, Smartest Open Weights Model Ever?

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Rami Krispin
“Review of the new model - Kimi K3 Moonshot's 2.8T-parameter open-weights MoE model, inside Hermes Agent. The video covers architecture, long-horizon autonomy, benchmarks, coding, Three.js generation, and sub-agent orchestration. www.youtube.com/watch?v=Oqk2…” evidence ↗
1 expert 1 community 1 sources clustered
Rami Krispin

“Review of the new model - Kimi K3 Moonshot's 2.8T-parameter open-weights MoE model, inside Hermes Agent. The video covers architecture, long-horizon autonomy, benchmarks, coding, Three.js generation, and sub-agent orchestration. www.youtube.com/watch?v=Oqk2…”

Primary source youtube.com ↗