Google DeepMind Staffers Ask Leaders to Keep Them'Physically Safe' From ICE A federal agent allegedly tried to enter Google's Cambridge campus in the fall, WIRED has learned. Now, staffers want policies that protect them from immigration officials. Employees at Google DeepMind have asked the company's leadership for plans and policies to keep them "physically safe" from Immigration and Customs Enforcement (ICE) while on the company's premises, according to screenshots of internal messages obtained by WIRED. On Monday morning, two days after federal agents shot and killed Minneapolis nurse Alex Pretti, a Google DeepMind employee sent the following message in an internal message board for the company's roughly 3,000-person AI unit: "US focused question: What is GDM doing to keep us physically safe from ICE? The events of the past week have shown that immigration status, citizenship, or even the law is not a deterrent against detention, violence, or even death from federal operatives."

The leak was first reported in the gaming press and then picked up by the Wall Street Journal, which said some of the leaked material related to advertising campaigns and interview candidates, with some dating back as far as 2019. There has been growing concern amongst performers, artists and other creatives that the rapid spread of generative AI will undermine their livelihoods and damage the creative environment. Generative AI is trained on vast bodies of existing material - including texts, images, music and video. It is then able to produce new work of a standard that can be hard to distinguish from human-generated material. Nullbulge describes itself as "a hacktivist group protecting artists' rights and ensuring fair compensation for their work".

Videogames developed in the 1970s and 1980s were modest programs created in a couple of months by a single person, who played the roles of designer, artist and programmer. Since then, videogames have evolved to become a multi-million dollar industry. Today, AAA game development involves hundreds of people working together over several years. Management and engineering requirements have changed at the same pace. Although many of the processes have been adapted over time, this is not quite true for quality assurance tasks, which are still done mainly manually by human beta testers due to the specific peculiarities of videogames. This paper presents an approach to automate this beta testing.