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AI isn’t magic. If there isn’t enough information in the inputs, you can’t expect reliable results. It’s the same principle in all of software: garbage in, garb
by janalsncm 2y ago
AI isn’t magic. If there isn’t enough information in the inputs, you can’t expect reliable results. It’s the same principle in all of software: garbage in, garbage out.
If there simply isn’t enough visual information, vision-only will fail.
https://youtu.be/IQJL3htsDyQ https://youtu.be/IQJL3htsDyQ
- porphyra 2y agoThis Mark Rober video has been debunked several times: https://www.youtube.com/watch?v=TzZhIsGFL6g https://www.youtube.com/watch?v=TzZhIsGFL6g https://www.youtube.com/watch?v=7cxTO8g47_k https://www.youtube.com/watch?v=7cxTO8g47_k
- sorcerer-mar 2y agoThat is not a debunking... That's someone running a similar experiment and getting a different result. That would debunk the claim that Teslas can never detect a painted wall. It does not debunk the claim that Teslas will sometimes fail to detect a painted wall. And in a safety-critical system, the distinction is not mere pedantry.
- porphyra 2y agoI mean he didn't even use FSD.
- waterhouse 2y agoTheoretically, if there's not enough visual information for AI drivers, then there's not enough visual information for human drivers, and that's a problem with the road. (Which, to be sure, occasionally there are roads like this: e.g. merging onto a higher-speed thoroughfare from a lower level, with a very short distance between "where you're in a position to see the merging traffic (and not that much of it)" and "where the roads have fully merged (and there's no shoulder)".)