Epistemic status: whimsical
Bees: a new unit of measurement for ML model size
Talking about modern ML models inevitably leads to a bunch of hard-to-intuit large numbers, especially when it comes to parameter count.
To address this, Lawrence Chan and I propose that we adopt a new, human-friendly unit to measure the number of learnable parameters in an architecture:
1 beepower = 1 BP = 1 billion parameters