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1) good self driving cars aren’t machine learning models. They leverage machine learning for certain tasks like object classification, but it’s not some black b
by b_tterc_p 8y ago
1) good self driving cars aren’t machine learning models. They leverage machine learning for certain tasks like object classification, but it’s not some black box neural net that learned how to get the car from A to B.
2) you’re describing how a system can crash. Driverless cars don’t share state, besides, I guess, vast scale astronomical and weather conditions. It’s not likely something would cause all cars to crash because of a collective hiccup. There may be a set of circumstances that consistently cause individual cars to crash, but that’s not really the same thing. And we can understand how these events are processed, so unlike people, we can adapt for future repeats of this scenario.
- leereeves 8y agoDriverless cars are part of a system that includes GPS, mapping, OTA firmware updates and updates about traffic conditions, regulations, weather, etc. Errors or malicious attacks upstream could lead to disruptive or even dangerous behavior by a lot of cars at the same time.
- b_tterc_p 8y agoMalicious actions are a concern, but they’re at about the same level of concern as alternative acts of terrorism. Unintentional errors in the things you list don’t feel like they’re huge threats. I would Imagine incidents with at most tens of cars and a relatively low risk at that. Not good, but not a scalable threat.
- rjplatte 8y agoSome car companies are more conscious about this than others. Tesla has a refreshingly anti-fragile approach, where Waymo is heavily relying on data captured through massive amounts of infrastructure.
- DennisP 8y agoThat sounds interesting. How is Tesla's approach anti-fragile?