rimalp

My grandma was 14 years old and had to work for a butchery, when british and american bombers dropped bombs on the small town (with no industrial targets at all). She would never forget the image of the dead people lying in front of the shop when she came out of the basement where they were hiding. Near the end of war her mother and sisters (brothers where forced to join the army at ages of 15,16,18 and never returned) were hiding in the coal cellar of their house just hoping that american troops would be there first in town (both sides were very close, near Zwickau/Chemnitz). Not the Russians, just not the Russians. There were horrible stories about the russian troops raping and murdering girls and women. The russian army was in this town first and they checked the backyard of the house and it's surroundings but didn't go into the cellar of the house (probably knowing that the family was hiding there). Hearing all her stories about that time teached me one thing: In war there is no good or evil side. People forced to join armies murdering people on the other side who where forced to do the same.

How did your grandma experience the re-union of Germany? Any relatives on the other side?

I remember my grandma was so so happy when she finally could visit her older sisters, who moved to west-germany before the wall was built. Over the 40 years of separation they could only stay in touch by writing letters and sometimes "west-pakete" for my parents and me as a child.

No high-def maps and no LIDAR

Can cameras see through fog? Lidar can.

Massive fleet for training data collection, and testing nets in "shadow mode"

All that data is useless if not properly sifted through and sorted for the specific use/recognition case. Collecting training data is just a snippet of the overall development. You still need to create and find the right neural network type, activation functions, back propagation, etc It's really not as easy as "record everything and run it through this network". Having the most data doesn't automatically make it the best/efficient approach.

Simulating things helps here a lot. Meaning using specifically generated data for a certain use case. Train, test and verify in conjunction with real world data.

But Tesla stats seem to show ever L3 "autopilot" significantly improves safety.

Autopilot is collection of assisted driving features. Not more, not less. It is L2 assisted driving, not L3.

Three questions:

• Do I need an account on your website to use this passwordmanager?

• Do you store the user's logins on your server?

• Why is there no standalone program and just browser plugins?

I use a passwordmanager for many other things than just websites. encrypted containers, ssh/ftp logins, NAS logins, router login, etc, etc . I don't want to use the browser for this. For websites you can use the integrated password manager of your browser, no need for third party addons.

Thank but I rather stay with an offline tool like KeePass than needing an account for an online service that promisses to keep my passwords save on their servers.

One that is cheap enough to be commercially viable and start saving lives right now

Cameras have been in use all across the automotive world for years now. Mercedes has been using stereo-cameras for at least 5 years now. Before that they used non-stereo cameras.

Cameras are used. But they are useless in many situations.

One that is even safer but may not be commercially viable for years

Lidar prices are dropping and dropping. They aren't that expensive anymore (<$1000 [1]). And that development is continuing. They are commercially viable and the next logical step to improve safety.