Tesla is behind because they had a fucking big pile of C/C++ + machine learned models and wanted to brute force their way to an acceptable quality. In a recent

Tesla is behind because they had a fucking big pile of C/C++ + machine learned models and wanted to brute force their way to an acceptable quality. In a recentish Lex Fridman podcast Elon finally talks about how they need to solve the hard part which turns out to be ... drum roll .. world modeling! (Kids in a school zone or behind a school bus or something like that was the example I think.) Who would have thought that without a model that can provide a consistent "abstract model" of the world it's hard to fit incoming noisy sensor data?