I wish I had mod points for you.
Data is not copyrightable. Your posts extolling the virtues of free living and your treatise on the need for end to end encryption in email would be completely safe from sale, but your height, weight, dog's name, friend list, favorite meal, phone number and the fact that you spoke often of your hemorrhoids is all just data about you which is non-copyrightable.
The ability to even write a licence where you retain your data and still give them permission to transmit it to a third party (the entire reason for a site with more than a single user) without potentially opening them to liability in the case of a disgruntled user would have to be a masterpiece of lawyering.
The simple fact is that humans are expensive. Even the cheapest human is going to cost you $20-25,000* a year, and you'll need 3-4 humans to provide a single labor slot for full time service in a business which is staffed 5a-9p 7 days a week. Account for downtime, scheduling, and turnover, plus the continuing reduction in cost for complex robotic or electronic replacements, and you'd be a fool to think humans have any chance at competing for these jobs.
This is the 10 hour a week that computers and robots promised us in the 70s. Except that it's not a 10 hour week, but rather a 40 hour week with only one in four people working, because it makes no sense to hire four people part time when you can get one to do the job.
To busy reviewing the Apple/Microsoft bling to realize that computer OSes really shouldn't be about what color the drapes are.
And no matter what the charter is, if they are liquidated the court will sell all of your data to the highest bidder to pay off creditors.
“As it turns out, what looks chaotic and random on a city street to the human eye is actually fairly predictable to a computer. As we’ve encountered thousands of different situations, we’ve built software models of what to expect, from the likely (a car stopping at a red light) to the unlikely (blowing through it).
“We still have lots of problems to solve, including teaching the car to drive more streets in Mountain View before we tackle another town, but thousands of situations on city streets that would have stumped us two years ago can now be navigated autonomously,” Urmson writes. (Chris Urmson is head of the self-driving car project at Google)
Smarter people than you have been working on these problems for years already and have made significant progress. Other locations also have research going on. Virginia Tech, for example has a self-driving/autonomous vehicle program that is also working on navigation of complex environments. Hazard collision detection and autonomous steering and pacing is already in production vehicles (and has been for a couple of years).
The good thing about computers is that they can be programmed to fail gracefully, stopping when conditions do not meet the requirements for safe continuation. Unlike humans, who can't figure out when they're too drunk, tired, old, or distracted to drive safely. Everything will come in steps - collision avoidance assistance, then highway autonomy, then known-city autonomy, then full autonomy with driver, and finally full autonomy without driver (passengers w/o driving skills). You won't get that last phase in the next couple of years, but I anticipate it will happen before I'm too old to safely navigate the roads.
100% turnover doesn't mean everyone quits, it means that for 1000 drivers average on the road, there are more than 1000 drivers who leave. If you have two people who only last 6 months each as a driver, that's 200% turnover.
You must be a dude. Women's clothes are generally not labeled by measurements but by a non-dimensional number which means almost nothing from brand to brand, and even from year to year. To wit:a young women's clothing store near me recently changed all their sizes. Everything changed by one value (what used to be and 8 is now labeled as a 6). They even had convenient "conversion" charts in the store listing the "old" size, and then a column with the "new" size, exactly one size smaller.
Men's clothes are less variable, especially with pants (though different styles do vary by 2-4 inches in actual measurement/fit). However; shirts are notoriously inaccurate, and a full size difference (M-L or L-XL) is common between manufacturers.
For online shopping, if the vendors could accurately identify the fit (doubtful), it would make for a lot less guesswork.
Now that we know it's happening we can all join the class action lawsuit which will utterly bankrupt FTDI because what they are doing is illegal and they can be held liable for damages, which could easily run into the billions.
...when referring to connected/connectable devices as IoT dies.