jm + tesla   3

NTSB: Autopilot steered Tesla car toward traffic barrier before deadly crash
This is the Tesla self-crashing car in action. Remember how it works. It visually recognizes rear ends of cars using a BW camera and Mobileye (at least in early models) vision software. It also recognizes lane lines and tries to center between them. It has a low resolution radar system which ranges moving metallic objects like cars but ignores stationary obstacles. And there are some side-mounted sonars for detecting vehicles a few meters away on the side, which are not relevant here.

The system performed as designed. The white lines of the gore (the painted wedge) leading to this very shallow off ramp become far enough apart that they look like a lane.[1] If the vehicle ever got into the gore area, it would track as if in a lane, right into the crash barrier. It won't stop for the crash barrier, because it doesn't detect stationary obstacles. Here, it sped up, because there was no longer a car ahead. Then it lane-followed right into the crash barrier.

That's the fundamental problem here. These vehicles will run into stationary obstacles at full speed with no warning or emergency braking at all. That is by design. This is not an implementation bug or sensor failure. It follows directly from the decision to ship "Autopilot" with that sensor suite and set of capabilities.
tesla  fail  safety  self-driving  autopilot  cars  driving  sonar  radar  sensors  ai 
15 days ago by jm
Tesla Autopilot mode is learning
This is really impressive, but also a little scary. Drivers driving the Tesla Model S are "phoning home" training data as they drive:
A Model S owner by the username Khatsalano kept a count of how many times he had to “rescue” (meaning taking control after an alert) his Model S while using the Autopilot on his daily commute. He counted 6 “rescues” on his first day, by the fourth day of using the system on his 23.5 miles commute, he only had to take control over once. Musk said that Model S owners could add ~1 million miles of new data every day, which is helping the company create “high precision maps”.


Wonder if the data protection/privacy implications have been considered for EU use.
autopilot  tesla  maps  mapping  training  machine-learning  eu  privacy  data-protection 
november 2015 by jm
SEC vs April Fool's Day
I think that materiality means what it says, and if people or algorithms do dumb things with trivial information that's their problem. But markets are a lot faster and more literal than they were when the materiality standard was created, and I wonder whether regulators or courts will one day decide that materiality is too reasonable a standard for modern markets. The materiality standard depends on the reasonable investor, and in many important contexts the reasonable investor has been replaced by a computer. 
algorithms  trading  stock  stock-market  sec  materiality  april-fools-day  tesla  investing  jokes 
april 2015 by jm

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