You could take any one single point in a complex multifaceted argument to the extreme and basically strawman it to death. But that’s not helpful.
I believe his point was to provide a new perspective on the problem, not to reduce the problem to a single reason. I highly doubt the only reason Tesla chose to use vision only in the short term was motivated by a single datapoint.
Even if it was the most important point... in this one person (on a large team’s) mind... it doesn’t necessarily mean it was the most important in the sum of the complex process it took to get to the decision.
So I don’t really see the value in taking it to the logical maximum because it’s not only illogical that they would be evaluating this one idea in isolation but even on its own they would still be balancing the optimal performance they got from x vs the optimized value they got from y, then compare it to the teams ability to work with both x+y(+z) at the same time.
For ex: You’d probably need 8 cameras pointing different directions vs one highly capable rapidly spinning LiDAR to even compete with it, so why even ask? These problems a) always have context and b) can't be so easily simplified and broken down.
Although you might make a good point that Tesla used this same poor logical-maximum reasoning to determine why not get rid of ALL sensors besides vision.
I believe his point was to provide a new perspective on the problem, not to reduce the problem to a single reason. I highly doubt the only reason Tesla chose to use vision only in the short term was motivated by a single datapoint.
Even if it was the most important point... in this one person (on a large team’s) mind... it doesn’t necessarily mean it was the most important in the sum of the complex process it took to get to the decision.
So I don’t really see the value in taking it to the logical maximum because it’s not only illogical that they would be evaluating this one idea in isolation but even on its own they would still be balancing the optimal performance they got from x vs the optimized value they got from y, then compare it to the teams ability to work with both x+y(+z) at the same time.
For ex: You’d probably need 8 cameras pointing different directions vs one highly capable rapidly spinning LiDAR to even compete with it, so why even ask? These problems a) always have context and b) can't be so easily simplified and broken down.
Although you might make a good point that Tesla used this same poor logical-maximum reasoning to determine why not get rid of ALL sensors besides vision.