Update README.md

README.md

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 We teach tiny neural networks to think. Sometimes they surprise us. Sometimes they just output zeros.
 
-## What I Think We Do
+## What We Do
 
-We train small AI models from absolute scratch. Every weight begins at nothing. Every parameter earns its place through stubborn repetition and repeated failure. We design architectures that fit on a laptop instead of requiring a small moon for cooling. Our creations handle specific tasks without demanding a power plant.
+We train small AI models from scratch. Every weight starts at nothing. Every parameter earns its place through stubborn repetition. We build architectures that fit on a laptop, not a data center.
 
-## Why We Keep Them Small
+## Partners in Crime
 
-Massive models consume memory and pretend to understand human emotion. We build modest alternatives. They deploy on everyday machines. They run without requiring a cloud architecture degree. They occasionally mix up a decimal place, but they do so with remarkable efficiency. We believe intelligence works best without a huge data center. We chase practical utility over computational excess.
+We work with other folks who also enjoy the small life:
 
-* They load instantly on mobile devices
-* They cost pennies to run at scale
-* They never ask for your life story
-* They respect your limited RAM
+* [TeichAI](https://huggingface.co/TeichAI)
+* [LH Tech AI](https://huggingface.co/LH-Tech-AI)
 
 ## Getting Started
 
-Read the documentation if we have written any. Download a model if we have released one. Run it on your machine. Watch it do something small, but do it efficiently. If nothing works, blame the random seed.
+Download a model if we released one. Run it. Watch it do something small, but do it well. If it fails, blame the random seed.
 
-We are CompactAI. We make small things work. We apologize in advance when they do not. jk.
+  We are CompactAI. We make small things work.. We think.