Showing 1 - 4 of 4
SCOTUS slaps down YouTube copyright actions
Life, James Hein, Published on 22/04/2026
» Following on from my previous observation of the music industry harassing content creators, the Supreme Court in the US just rewrote the rules of secondary copyright liability. On March 25, the Supreme Court unanimously held that simply knowing your users might infringe copyright is not enough to make you liable. This negated the old theory that "knowledge plus material contribution" was enough.
Tech giants, gatekeepers of the cloud
Life, James Hein, Published on 11/05/2022
» AWS, Microsoft and Google collectively made up 65% of global spend on cloud computing in Q1 2022, and their share is increasing year-on-year. At least two of these organisations have shut down users and companies they decided did not align with their ideologies. If you put your data on the cloud, it sits somewhere. In many cases, it's on the servers of these three companies who may or may not decide to cut you off without warning sometime in the future. It is also important to remember these three companies have servers across the globe and if a country decides to remove itself from the pack, it could take a peek at what you are storing there.
The fight for a freer web continues
Life, James Hein, Published on 17/03/2021
» The social media platform Telegram has over 500 million users with over 55 million active every day. Unlike other platforms such as Twitter, YouTube, Facebook and others, you are free to express your opinion there without being cancelled, shadow banned or throttled in searches.
AI-aided hope on the horizon
Life, James Hein, Published on 13/02/2019
» Despite some of my criticisms in the past there are some excellent examples of emerging artificial intelligence technologies. I've mentioned some of these from the medical world in earlier articles but a new one caught my eye this week, figuring out in which hotel a picture was taken. No, not to help people remember where holiday snaps were taken but to track down human trafficking where pics of women are taken to sell them for sex. The three groups behind this identification technology are from George Washington University, Temple University and Adobe, all in the US. Like many AI systems a large amount of source data is used and to help with this more than a million images have been collected from 50,000 hotels worldwide. Using all the room elements in backgrounds a neural network is being trained to identify a hotel chain and then a location.