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.
- AI signals
- 3 past 30d
- Sources
- 3 distinct domains
- Discussions
- 4 past 30d
- Latest signal
- 1d ago
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 network
In Michael Mullarkey's orbit
Center = Michael Mullarkey. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.