Shutterstock / Deemerwha studio The conventional wisdom is that AI systems, with their tens of billions of parameters, are effectively indecipherable: the exact mechanics of how their basic building blocks of nodes or “neurons” function are an incomprehensible “black box,” even to the researchers who create them. But a new essay from AI researcher Nick Cammarata has stunned Silicon Valley by arguing the opposite. AI models aren’t impenetrable black boxes,