Some people definitively lose their use because of the AI ​​(those who build it)

The AI ​​could come for our jobs, but capitalist pressures seem to come for people responsible for the development of the AI. Wired has reported more than 200 people working on Google AI products, including its Chatbot Gemini and IA glimpses which it displays in the research results, has recently been laid off – has circumvented the ranks of the former unhappy employees of Xai and Meta, who were also victims of “restructuring” as companies that have paid billion dollars in the way of withdrawing money.

According to Wired, most people working on Google AI products were entrepreneurs rather than Google employees. Many have worked at Globalogic, a software development company belonging to Hitachi. According to the report, most of the globallogical workers who were cut from Google worked as an assessment, working to ensure the quality of AI responses. Most are based in the United States, work with content in English, and many have a master’s degree or a doctorate in their field of expertise.

At least, some workers struck by this layoff have been informed that the cuts were the result of an “increase” of the project, but at least a few workers seem skeptical about this reason. Some believe that cuts can be linked to workers’ protests concerning the problems of remuneration and employment safety, by cable. The publication has also indicated that globalogic documents indicate that the company can use human assessors to form a system that can automate the rating process, which would leave moderate AI.

People responsible for tightening the Google AI outputs are far from being the only ones of the industry that are tightened. According to Business Insider, the XAI of Elon Musk recently dismissed at least 500 workers who were responsible for making the annotation of the data. The layoffs seem to be part of a mixture of efforts within the company, which moves away from “generalist” data annotators and increases its “specialists”. Since Google has just cut entrepreneurs who would likely fall under this “specialized” label, this probably seems a little precarious there.

It was a difficult blow for people who really manage the data that fueling AI tools. Shortly after Meta invested in the labeling company Scale Scale, the company reduced 14% of its staff, including 200 full -time and around 500 entrepreneurs. Meta herself would have seriously sought to reduce her AI department when he continues to change the priorities and try to understand how to get a head start in the AI ​​race.

It is also difficult not to look at the layoffs of lower workers and entrepreneurs without thinking about the job offers of several million dollars for IA specialists to secure their talents, but this tends to be considered as things: people who do the growled that must be done so that the gears are considered replaced, but they make more and more money for people who do not really know.