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As long as there is a human variable I severely doubt we will every get to a system that is 100%. The raw truth of it is to make a system that can do it close t
by typicalbender 9y ago
As long as there is a human variable I severely doubt we will every get to a system that is 100%. The raw truth of it is to make a system that can do it close to 100% you need data. Tesla has chosen to put a semi-autonomous system into the hands of consumers in order to generate the massive amounts of data necessary to achieve full automation. Other companies have chosen to log a crazy amount of hours using technicians to generate the same set of data, both have and will continue to experienced crashes as they work toward making the system better.
Tesla I think has done a fantastic job at striking a balance between getting something into the market the generate real-world data and mitigating the risks that come with it. If this car really did crash into the fire truck at around 65 MPH then it did a pretty good job at keeping everyone safe.
I think I would be hard pressed to find any technological or mechanical innovation that did not initially involve risk or have an accident associated with it. I've seen more examples where a Autopilot has done the right thing and avoided an accident than I have read stories of it making a mistake and causing an accident.
- CPLX 9y ago> If this car really did crash into the fire truck at around 65 MPH then it did a pretty good job at keeping everyone safe. I believe your definition of keeping everyone safe differs from the common usage.
- seanmcdirmid 9y agoI believe parent is referring to the survivability of a 65 MPH head on crash into a heavy object.
- typicalbender 9y agoCorrect, "safe" was a poor choice of word. Alive and relatively unscathed according to the article is what I was going for. Thanks for the clarification.
- CPLX 9y agoIt's also the survivability of the things that are being hit by two ton "autonomous" objects at 65mph that are at issue here.
- jcranmer 9y agoData is insufficient. The most famous polling miss in history relied on 2.4 million responses (~1.8% of the population) to conclude in 1936 that the Republicans would win the presidential election. What matters is the quality of your data, and if it is sufficient to draw reasonable conclusions from. I don't see any evidence that Tesla has more, or less for that matter, of the necessary high-quality data that is needed for self-driving cars. The fact that real people are driving those cars continuously, potentially generating reams of data, is pretty immaterial, since the majority of that data is going to be useless (let's face it, 10 million hours of driving in the same conditions isn't better than 1 million hours of driving).