It is more like the data could make money in the future but is not making money right now so they don't have infinite money for storage. If they had I am sure they would be happy to increase free storage limits.
GreatDong3000
joined 8 months ago
These companies hoard data they might have an use for but not even know how yet. Training AI and shit. Deleting stuff ain't in their dictionary.
Goodness gracious they must have great balls of fire to have done this.
But what if it was trained on covers?
Agree, where I live for recurring subscriptions most people use "digital credit cards" that you generate on your banking app and they have short expiration dates or you can cancel them and generate a new one anytime you want. That's good because there are so many services that make it a pain in the ass to cancel a subscription so you just delete the card from existence.
I see. From that list the international purchases is a good reason to use PayPal in Brazil. I only have an account there because like 6 years ago I needed to pay for a TOEFL certification and without an international card the only way was PayPal so it worked pretty nicely. Never had to use it after that tho. Hope you guys get a better alternative so PayPal can die a horrible death.
What is the use case for PayPal in the US? Here in Brazil we pay everything with credit card or bank transfer with a QR code. People can transfer money to you from any bank 24/7 instantaneously with just your email or phone number without any fees. Is that different in the US?
I use Linux and only install software from the official distro repository + verified flatpaks. No av, no worries.
Nah, computer vision for standalone image processing (I mean, not batch processing dozens to thousands of files at the same time) today is pretty lightweight and can be done easily on consumer laptops and smartphones. It is just a different technique and takes people with different skills to do it, but completely doable. Gor example, even face detection AI models can run on your laptop, if AI can learn to classify faces, objects and animals it can learn to classify ads.
At this point you can just replace the video with the same video using a timestamped link from just before the ad started. Under IPv4 they can't tell if it is the same person/device requesting the same video. So unless they put the ad at exactly the same timestamp (which they won't) you can just blank out the video when an ad starts and replace the stream with the same video using the timestamp to start the video where you left off.
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Google has a lot more money