Also if you're liking Gemma 4 E4B Nambeige 4.2 3B crushes it + even Gemma 4 12B on benchmarks (though for actual usage ymmv)
Who's Who of AI
Michael Mullarkey
Why they matter
Tracked through public AI activity and peer connections inside the directory.
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Clinical psych PhD | ML Engineer in sports analytics | he/him
My newsletter on building cool data stuff: https://buttondown.com/datadash
Personal website: mcmullarkey.github.io
Opinions are my own and don't reflect the opinions of my employer
What they're sharing
Nanbeige/Nanbeige4.2-3B · Hugging Face huggingface.co
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. github.com
Comparison of AI Models across Intelligence, Performance, and Price artificialanalysis.ai
Articles & links
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
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...
Their own posts
Recent commentary
"If you don't talk to people, AI is a great way to automate misunderstanding" - @tcash21.bsky.social A theme across talks: building natural language tools exposes ambiguities that can otherwise hide Aligning on definitions + standardizing processes matters more now than ever #positconf2026
Was great to meet a bunch of folks at Posit conf! Here's me pictured with all the new lightbulb ideas I'm having from people's talks + convos (Not AI, it's a super cool exhibit at Houston's Museum of Fine Art called Aftermath of Obliteration of Eternity)
Their network
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