@willdepue That and total Watts harnessed for intelligence are the two obvious fundamental metrics that scale infinitely. For practical purposes, intelligence/GB, intelligence/GB/sec and intelligence/operation are a daily struggle 😅

RT @iam_smx: It all started here... https://t.co/skEGaIfsr8

@pbeisel 🎯

RT @pbeisel: 10x Elon said the next version of FSD— presumed to be version 14— will have 10x the number of parameters as version 13 (including the version 13 builds used in Robotaxi). What does this mean? Architecturally, a neural network is made up of layers, and those layers contain nodes (also called neurons). Each node in one layer is (typically) connected to every node in the next layer. These connections have numerical values called weights, which determine how influential each connection is. Each node also has a bias, which adjusts the node’s output independently of its inputs. The parameters in a neural network are the weights plus the biases. So when Elon says version 14 has 10x more parameters, he means the total number of weights and biases has increased— implying a larger, more expressive model. In a sense it means the model is more nuanced, can contain more "decision" points. In general a bigger model is better, but also requires m

@WholeMarsBlog 😂

True

@nishkidoonoo ❤️

@alex_avoigt MS is right

@DimaZeniuk Yes

@JessePeltan 🎯