I don't understand the "bitter lesson" reference here. The bitter lesson is that general methods of computation are more effective. How is one of the two not using general methods?
My understanding is that Waymo is applying specialized centimeter-scale mapping and lidar to achieve superior results.
In contrast, Tesla is using dumb cameras and just dumping boatloads of data into their model. It’s a more general solution. Maybe the reference doesn’t fit perfectly - the model architecture is likely similar under the hood - but there’s some analogy there.
Just saying they have better results because of mapping and lidar is incredibly reductive. They have an extremely sophisticated AI/ML stack and simulators.
In contrast, Tesla is using dumb cameras and just dumping boatloads of data into their model. It’s a more general solution. Maybe the reference doesn’t fit perfectly - the model architecture is likely similar under the hood - but there’s some analogy there.