I don’t think I would do very well under Elon’s management style ha - the whole butts-in- seats from 8-6 thing is basically a dead end for me (personally).
I’m not sure what architecture they use, but they do indeed already have a pre trained “auto-labeler” that their annotators use. My understanding is that due to hallucinations from the model and the risks involved with driving, they still need to be vetted manually before being added to the dataset.
Makes sense. Fortunately, scale is less of a problem for the autolabeler, so they can put a lot of processing power on this step. But yeah, they will need human labelers for the edge cases where the model is unsure. I wish Tesla would publish their results so we could understand what they are doing and how much it is improving.
I’m not sure what architecture they use, but they do indeed already have a pre trained “auto-labeler” that their annotators use. My understanding is that due to hallucinations from the model and the risks involved with driving, they still need to be vetted manually before being added to the dataset.