SDC's, I strongly believe, will save tens of thousands of lives every year: nearly all car accidents are ultimately because of human error, even ones whose legal cause is considered something else like the weather. Almost the only non-human cause of crashes is mechanical failure.
-
Show this thread
-
They also have the ability to change the world for the blind, the elderly, children, parents of children, anyone who can't drive for one reason or another. And this doesn't touch on the impact on cities if almost all cars are self-driving — parking stops being a big deal.
2 replies 5 retweets 55 likesShow this thread -
This is why I strongly believe that self-driving cars are going to be a tremendous force for good in the world. BUT: that happens if, and only if, they work well and safely. And something being on the road at this level of success Does Not Cut It. //
6 replies 9 retweets 66 likesShow this thread -
Also, full disclosure: I invested in Uber. FWIW, this was done before quite a lot of things about the company came out — and since it's not a public security, one can't easily sell. But if I lose every penny I put in, it'll be what I deserve for ever touching these fools.
4 replies 20 retweets 87 likesShow this thread -
Yonatan Zunger 🔥 Retweeted Johana Bhuiyan
Some more fun: not only were they having trouble hitting their 13MPI target, but (as
@rosa just pointed out) as of a year ago, they were at *0.8MPI*. That means we're counting *city blocks* between failures.https://twitter.com/jmbooyah/status/977306867926958080 …Yonatan Zunger 🔥 added,
Johana BhuiyanVerified account @JMBooyahSo we reported almost exactly a year ago Uber drivers had to intervene once per .8 miles. https://www.recode.net/2017/3/16/14938116/uber-travis-kalanick-self-driving-internal-metrics-slow-progress … New docs that shows they’re now struggling to get to 1 every 13 miles. This is still very far behind competitors and not a ton of progress https://twitter.com/daiwaka/status/977301632831569920 …6 replies 19 retweets 52 likesShow this thread -
Replying to @yonatanzunger @rosa
Not to shit on Uber too much, but like, this seems to be a *hard* problem that involves years of blood, sweat, and tears, and billions of dollars. And it seems like they've underestimated it in trying to race to market and put so many lives at risk :( :( [personal opinion]
1 reply 1 retweet 9 likes -
Replying to @lizthegrey @rosa
It is a hard problem. Which is why when grown-ups try to solve it, they spend years developing, testing, and refining, before letting their devices get anywhere close to the public.
2 replies 0 retweets 16 likes -
In Aviation, billions have been spent trying to develop algorithms and V&V tools that would allow smarter autopilot. And that's a significantly simpler space to work in. We don't have that tech in aviation yet.
1 reply 2 retweets 6 likes -
Replying to @EmilyGorcenski @yonatanzunger and
2-player dynamic game theory is hard. For n-player, the math doesn't exist yet to figure it out. We have no business shipping cars that rely on a solution to be discoverable.
1 reply 2 retweets 7 likes -
Replying to @EmilyGorcenski @yonatanzunger and
I worked in automotive. I never thought it was gonna happen on the schedule they implied. Maybe for limited environments, but not general market
1 reply 0 retweets 2 likes
Also like in aviation we have air traffic control! We have a ground-based highly-sensored system with infinite computing power to make decisions. On the road we... hope we can maybe detect the lines.
-
-
- 3 more replies
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.