Group items tagged

"Next, was two months of probation where we moderated on practice queues that consisted of hundreds of thousands of videos that had already been moderated. The policies we applied to these practice videos were compared with what had previously been applied to them by a more experienced moderator in order to find areas we needed to improve in. Everyone passed their probation. One trend that is particularly hated by moderators are the "recaps". These consist of a 15- to 60-second barrage of pictures, sometimes hundreds, shown as a super fast slideshow often with three to four pictures a second. We have to view every one of these photos for infractions. If a video is 60 seconds long then the system will allocate us around 48 seconds to do this. We also have to check the video description, account bio and hashtags. Around the end of the school year or New Year's Eve, when these sort of videos are popular, it becomes incredibly draining and also affects our stats. "

"Launched on the eve of the millennium, Turkey's most popular homegrown social media website has weathered lawsuits, criticism from the highest levels of government and even death threats directed at one of its founders. A simple editable online dictionary turned national obsession, Ekşi Sözlük has for more than two decades spurred its own biting form of social satire while providing a rare haven for free expression on the Turkish internet. But this year's earthquakes that upended life across Turkey may prove to be the death knell for Ekşi Sözlük, which was abruptly blocked across the country in the weeks after the earthquakes first struck, without proper explanation."

"A UK-based startup has used an AI algorithm to identify a previously unknown kind of rare-earth free magnet, in a potential breakthrough for how we discover and create new materials. Materials Nexus, headquartered in London, used its machine learning algorithm to identify and analyse over 100 million combinations of materials that could produce a viable rare-earth free magnet."

"First, the authors expect that 80% of the US workforce could see at least 10% of their tasks affected by GPT. In other words, most Americans could benefit at least a bit from these LLMs."