If rich people and corporations are going to fuck the internet so hard it's unusable, we should make a new internet. One with blackjack and hookers.
this post was submitted on 13 Oct 2023
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Piracy: ꜱᴀɪʟ ᴛʜᴇ ʜɪɢʜ ꜱᴇᴀꜱ
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It's called the dark web and unfortunately they went WAYYY past Black Jack and hookers. I think you can go on there and buy a person...that ended up being the FBI the whole time.
The "Dark Net" generally is still HTTP(s) with extra layers on-top, e.g the Tor Network or I2P
We're more likely looking at something like Gemini
Ohhhhh...this looks neat!
I agree! It's actually it's own protocol, being built on top of the IP (internet protocol) ofc
The webpages are essentially pure text. No JS, and everything is designed to be super privacy-friendly. Gemini is like the pinnacle of the SmallWeb
If you add male strippers, gay 4 pay rough trade, and four card poker I'm all in.
20$ is 20$
Well fuck. I can't wait to try to explain this to my 65 year old parents who basically only watch British tv via VPN...
BBC could ID a VPN IP address based on usage and concurrent sessions, but honestly most companies that block VPNs just purchase IP address lists from any number of vendors. Pixalate and DoubleVerify are two that I've worked with in the past that both provide that data to clients. They rarely ever block entire IP blocks though, so you might just try reconnecting from a different location/server within the UK until you land on one that works (if any).
It used to be that they didn't throw me out before I got to a program's page. Today, upon login, they redirected me to BBC's main page. Google tells me this: "In addition to the measures listed above, the BBC is also reportedly working on a new anti-VPN measure that uses machine learning to identify and block VPN traffic. This measure is still under development, but it has the potential to be more effective than the BBC's current anti-VPN measures."
Machine learning, making just about everything progressively worse.
I'm pretty sure ML is how Pixalate and DoubleVerify were building their lists, too. The difference is they were footing the bill in terms of resources and time spent to develop a solution. Training ML isn't hard, its just really time consuming.