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

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Showing signals surfaced by Michael Mullarkey ×
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The developments commanding sustained expert attention

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

Established Models & releases Resource 19d ago
Headroom LLM token compression tool

GitHub - headroomlabs-ai/headroom: Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Michael Mullarkey

“I've used the caveman tool to reduce that kind of output, and it's ok but more about the meme Recently started exploring this tool instead and it looks promising”

Primary source github.com ↗
Established Culture, work & education Resource 12d ago
Artificial Analysis AI model comparison

Comparison of AI Models across Intelligence, Performance, and Price

2 experts are actively discussing the implications.

1 expert 1 community 1 sources clustered
Michael Mullarkey

“Not perfect, but I do like this chart from Artificial Analysis with cost per agentic task vs their overall performance metric artificialanalysis.ai/models#intel...”

2 experts discussed this · 2 posts
Carlos Scheidegger: the drunks all looking for the lost keys where the light is etc etc
Michael Mullarkey: Not perfect, but I do like this chart from Artificial Analysis with cost per agentic task vs their overall performance metric artificialanalysis.ai/models#intel...
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Primary source artificialanalysis.ai ↗