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README.md

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 ![north image](2.png)
+# North ML
 
-# About North ML
+### Small AI. Serious research.
 
-North ML is an independent AI research lab founded and led by **Arthur Y. (`arthu1`)**.
+North ML is an independent AI research lab focused on advancing the frontier of language models through efficient, high-impact research.
 
-North ML began with a simple question:
+We build **research models that punch above their weight** — exploring how far careful architecture, training, data, and fine-tuning can push a model beyond what its size or compute budget would suggest.
 
-**How capable can AI become when you don't have access to enormous amounts of compute?**
+Our work spans small and efficient models, experimental architectures, fine-tuning, distillation, training methods, and evaluation.
 
-That question led to experiments in small language models, custom architectures, efficient training, distillation, and fine-tuning.
+### Our goals
 
-Today, North ML develops and releases models, datasets, and research experiments openly. Our work ranges from compact models designed for local and edge inference to larger experimental systems and specialized fine-tunes.
+**Advance the frontier.**  
+Explore new ideas and build models that challenge what is expected from their scale.
 
-We believe advanced AI shouldn't require a hyperscale data center to experiment with.
+**Punch above the weight.**  
+Maximize capability per parameter, per token, and per unit of compute.
 
-**Our mission is to push the boundary of what can be done with limited compute — and make the results available to everyone.**
+**Make research accessible.**  
+Investigate approaches that can be developed and run without hyperscale infrastructure.
 
-### What we work on
+**Publish openly.**  
+Share models, datasets, experiments, and failures whenever possible so others can learn from and build upon our work.
 
-- Small and efficient language models
-- Model architecture research
-- Training and fine-tuning techniques
-- Knowledge distillation
-- Local and edge inference
-- Open datasets and evaluation
-- Experimental AI systems
+We believe frontier AI isn't only about making models bigger.
 
-### Open by default
-
-Whenever possible, we publish our models, datasets, experiments, and technical details openly.
-
-If a model fails, we want the failure to be useful.
-
-If an experiment works, we want others to be able to try it.
-
-**North ML — small AI, serious research.**
-Kestral (real name has been decided, this is a codename for a future model.)
+**It's about making them better.**.)
 
 ### Model Series
 * Starlight Mini (one model, discontinued series)