The famous example I remember from growing up was a teen girl whose parents found out she was pregnant from a personalized (mailed) Target ad: https://www.forbes.com/sites/kashmirhill/2012/02/16/how-targ... . There seem to be some skepticism in later articles that this is actually how her parents found out, but only because she told them first. They could have found out from the ad.
https://www.liebertpub.com/doi/full/10.1089/big.2017.0074 is a more detailed study of how Facebook likes can out people. It looks like the "cloaking" solution that the authors propose actually makes the model more accurate. From the article "false-positive inferences are significantly easier to cloak than true-positive inferences".
If you're the only one who knows what ads you see, that might still be okay, but if a platform can make these kinds of inferences to show you ads, they can use the same data in other ways. At the very least, they might leak this information to other users by recommending people you may know, etc. You might also reveal what kind of personal ads you get if you ever browse the web someplace where other people can glance at your screen.
you wouldn't believe how irrelevant to me, the ads i get are.
I've been thinking about buying a new car, but I'm very aware of how much tracking/telematics they include nowadays... so I decided to search "$manufacturer disable telematics". Every single thread I found was full of people saying variants of "Why do you even want to do that lol" and "Looks like somebody is doing something illegal".
Every time I see stuff like that, I'm tempted to jump in and share a plethora of examples about how tech companies misuse your data, don't protect it properly, sell it to all sorts of dubious actors, and, most importantly, use it for advertising - which I consider to be nothing more than gaslighting to get you to buy stuff and absolutely despicable.
I have to stop myself because I know I wouldn't get through to them, and I would probably sound crazy.
but i don't understand how personalized ads are harmful. if you don't like the product, just don't buy it? what am i missing?
personally, i only buy products that I really want or really need, so if an ad pops up that convinces me to buy, then it's done me a huge favor. but this almost never ever happens. usually, the ads are terribly targetted and don't show any clue of understanding who I am as a person. to me, it seems the problem is they're not targetted enough, rather than too targetted.
Personalised ads are beside the point. The issue is how they are personalised, namely by building a rich profile of user behaviour based on non-consensual tracking.
It isnt even clear that there's a meaningful sense of 'consent' to what modern ad companies (ie., google, facebook, amazon, increasingly microsoft, etc.) do. There is both an individual harm, but a massive collective arm, to the infrastructure of behavioural tracking that has been built by these companies.
This infrastructure should be, largely, illegal. The technology to end any form of privacy is presently deployed only for ads, but should not be deployed anywhere at all.
Agriculture is outright wasteful of water. California agriculture consumes 80% of the state's water.
https://water.ca.gov/Programs/Water-Use-And-Efficiency/Agric...
Its an environmental equivalent of Amdahl's law - spending so much effort to make a small portion of the water use efficient when we can work far less to make agriculture more efficient. Of course its all because of lobbying.
ARM has had a laziness problem ever since the Apple A1 chip - there's a reason why nobody uses their 6-yr old layouts. ARM almost killed Qualcomm when they adopted A57 for the snapdragon 808 using the 64-bit arm design - that chip melted quite a few phones and this gave Exymos it's start!
Everytime, I take an Uber or Lyft and calculate the hourly earnings of the uber driver minus vehicle miles, uber's take, and x2 the time needed (for the return trip), I come up with 15$-20$ an hour or so.
When Google was a startup and even a decade in they managed to treat everyone the same.
Today this has went backwards like everything else Google it seems.
I just think it's remarkable how people can take any piece of good news and find the most negative interpretation of it.
I don't get this stuck up argument again and again Why did they hire before? As if there is some really great answer that can reveal itself by repeatedly asking this question.
> Cutting would be better than freezing salaries.
Many would like same or lower salary than being laid off. Those who looking for higher salaries can move on just like they always have.
Suburbs on average have less crime. i wouldn't say that south bay is ideal but it's better than SF.