For the general market perhaps - but let's say you're contracted to build self-driving trucks for UPS in particular and realize that UPS trucks almost never turn left[1] you could probably leverage that to decrease sensor density on one area of the vehicle since it's not as often used by your expected market - the vehicle might occasionally need to pause and do some extra work to make up for that deficiency but when the vehicle is on the happy path it can save some time.
This example is pretty artificial - I can't really think of an optimization you could make knowing that you rarely turn left (maybe something with the axel?) but yea - more data means that you can turn your product to behave better in optimal situations - this comes at a cost but if you have a big stack of data you can make it so that your product generally wins that trade off most of the time.
> This example is pretty artificial - I can't really think of an optimization you could make knowing that you rarely turn left (maybe something with the axel?)
A real-world example are old NASCAR race cars. Optimized heavily for turning left, they were quite good at it at the expense of turning right.
This example is pretty artificial - I can't really think of an optimization you could make knowing that you rarely turn left (maybe something with the axel?) but yea - more data means that you can turn your product to behave better in optimal situations - this comes at a cost but if you have a big stack of data you can make it so that your product generally wins that trade off most of the time.
1. https://www.bromfordlab.com/lab-diary/2019/4/9/why-do-ups-tr...