From cave walls to neural geometry humans have always made sense of the world by giving it shape. Kind of beautiful that the machines we built do the same.
Neural networks might speak English, but they think in shapes.
Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision.
Starting today, we’re releasing a series of posts on this research agenda. 🧵
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