I am not sure. Self-driving is complex and involves the behavior of other, non-automated actors. This is not like a compression algorithm where things are easily testable and verifiable. If Waymos start behaving extra-oddly in school zones, it may lead to other accidents where drivers attempt to go around the "broken" Waymo and crash into it, other pedestrians, or other vehicles.
I know Tesla FSD is its own thing, but crowdsourced results show that FSD updates often increase the amount of disengagements (errors):
And we haven't reached the point where people start walking straight into the paths of cars, either obliviously or defiantly. https://www.youtube.com/shorts/nVEDebSuEUs
There are already anecdotes of people aggressively jaywalking in front of a Waymo because they know it will stop, and people driving more aggressively around Waymos because it will always defer to them.
Victim meets with police, signs affidavit, prosecutor goes to judge with affidavit, warrant written specifically for those items only. Should be simple and even digital if we wanted it to be.
An airtag alone will never be enough for a search warrant. They are not accurate enough and don't prove any actual crime was committed (maybe someone found your looted backpack in the trash). If there was security camera footage of the theft or you knew the thief and the cops could verify where they lived, that could likely be enough.
See if you can wrap the underlying library call to pg.query or whatever it is with a generic wrapper that logs time in the query function. Should be easy in a dynamic lang.
A significant portion of the bottom and middle segments of the restaurant industry have been enshittified. Lower quality, less service, and higher prices.
Meal prepping, cooking at home, and fine dining only.
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