Product placement is advertising, and as such saying "no ads" while not blurring out product placement would be misselling the service

I mean immediately sure but in reality he was just an early al-qaeda prototype trying to spread his religion by blowing people up

As someone who works in advertising, that is partially true, but also not the complete story...

Data brokers want you to believe that the more data you have the more likely your ads are to be successful, but in reality it's not about the amount of data but the quality of the data. If you have someone who has looked at reviews of gym shoes/different models on different stores, then that data is pretty valuable as you can focus on getting them to buy from your store or try and advertise models at the top of their budget, which will likely lead to a higher ROI than just advertising on fitness forums (note it is super hard to get the balance between tipping people over the line to buy and advertising them something they were already going to buy/had already decided against - Google particularly are absolutely terrible at this, but also do evaluation in house, so they'll misrepresent to advertisers that your ad which showed up one link above your non-sponsored link made 100% of the difference in getting the purchase). Similarly, if you have data that someone is active on a car audio forum and recently bought a specific model of car, you can advertise kits/speakers specifically to that car, which is better than just advertising "hey, we make audio upgrade kits for [specific car/cars in general] on a forum/related site".

This also makes advertising one of the few situations where using ML actually makes sense - there's huge amounts of data (way more than a person can consider) to come in, and patterns which lead to good results (someone purchasing something) or bad results (someone not purchasing something). It's not worth a human targeting every single microcategory, but if an ML model can pick up that advertising to (eg) people who have recently purchased cameras who are interested in triathlons and often visit areas with with high rainfall makes them more likely to buy your specific aftermarket lens hood, then it makes buying the ads so much more worth it and also lets you extrapolate onto other microcategories which may also have similar results, and if they don't then that updates the model.

Generally data is less useful for awareness campaigns (ie "next time you're in the supermarket/in the business for x, buy our brand" type of campaign), especially if it's already on a relevant site, but it's still somewhat useful if someone is reading on a (trustworthy) news site or watching an ad-supported streaming service, however purchase data & activity data is still useful for showing more relevant ads, as while 90%+ of people on a fitness forum are going to be into fitness, I don't think 90%+ of general site visitors or tv show viewers are going to be into anything specific enough to make it worth it to advertise it.

Not even that, it's more than likely some PM said "we want to open the camera and be ready to record when someone goes on the story tab", then it gets implemented as needing permissions first and not considering that some people wouldn't want to give the permissions and only upload from camera roll

He did a fairly good job as the head of criminal prosecutions in the UK for around 5 years, and he was knighted to recognise that when he stepped down

Docker fan mindset

This is less interesting than standard deviation, percentage living to 50/60/70/80, or life expectancy for men/women and at 1/5/18 years old though, as the issue here is it's hard to tell what is from things like dying in childbirth for both the child & mother and dying as a young child, vs being able to live longer, as we know people have lived well into their 80s and 90s since records began (ie Ancient Greece/Egypt/Sumeria) but this data implies that everyone used to die at 30, when in reality there were likely 2 peaks at 0-5 and 60-80

No, but people need to send and receive next day 6 times a week

I mean if you can get it from actually good sources (solar, geothermal) where that type of energy is in excess then use ships powered by it to transfer it around the world is that a huge problem?

They told Meta that they had to pay to so much as host links to news sites on their platforms.

ie they had to pay to literally direct users to news sites, where news sites would make money off advertising to them, allowing the news sites to double dip. If anyone's got good PR, it's the news sites (would you believe it, the news sites have good connections with the press?)

There were ways to stop Meta from scraping news sites, but they decided to effectively stop them from even sharing news. They could've stopped the bill at purely "reproducing" news, but no, they got greedy and decided to make them pay for the privilege to give news sites free advertising. Why on earth would Meta agree to that, and why is it surprising that they just turned around and said no?

I actually thought about that and changed "enjoyed" to "usable"

Dodos were tasty and Vaquitas are cute but chickens, wheat, potatoes, rice etc. are a borderline infinite food glitch for humans compared to most food sources so they naturally get cultivated in huge numbers

Thing is when your system is dying and nothing is responding, you can almost always trust task manager to respond because of its privileges, simplicity and the fact it's built into the OS rather than using APIs, even if explorer.exe crashes.

Given there's no "ctrl-alt-f2: Imma go fix this mess" on Windows, having at least something you can rely on to not die is super valuable even if it is bad.

I'm not saying this tool isn't better for system monitoring (but I would like to see something like KSysGuard), just that Microsoft absolutely shouldn't touch task manager to fix whatever's wrong with it's resource usage monitoring functionality to avoid breaking something else in it