Showing 1 - 3 of 3
Life, James Hein, Published on 13/08/2025
» The UK now has their Online Safety Act (OSA) and Australia is blindly following in their footsteps. In the UK it didn't take very long for the tech aware under-18s to bypass all the rules and regain access to adult content. Think about it, if China can't completely block everything do you think the UK had any chance? There were some creative solutions but the most common was a simple Virtual Private Network (VPN). In related news, some VPN companies reported a 1,400% increase in sign-ups since the OSA came into force.
Life, James Hein, Published on 27/09/2023
» YouTube is behaving badly again. A prominent presenter I occasionally watch, who has millions of subscribers, has been demonetised, for some possible actions 20 years ago. This is not a commentary on potential innocence or guilt, but on YouTube's processes. There are people whose lives are supported by revenue from their presentations on YouTube. This ranges from small fries all the way up to the big fish like the one here. When an individual is demonetised they can lose the ability to support themselves. In this case allegations were made by the media, not the police or authorities, and at the time of writing there have been zero charges made. YouTube is essentially saying, bring us all your viewers so we can hit them with ads and we can make lots of money, but you will be getting nothing for your work.
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.