To protest their boss Mark Zuckerberg and his recent company-wide changes, Meta employees are reportedly sneaking tampons back in men’s bathrooms in its offices. But it isn’t the only tech company seeing some resistance amid Trump 2.
Meta CEO Mark Zuckerberg teased a "return to OG Facebook" as part of his key goals for 2025 in Wednesday's Q4 earnings call with investors. While the
Midlevel staff are often the first targets of corporate downsizing efforts, but Meta’s plan to replace an entire tier of people with AI is a new wrinkle on an old story.
Mark Zuckerberg expressed frustration during an internal company meeting after the confidential information was leaked within the company.But in an ironic twist, his own comments were also leaked to the media.
Jesse Eisenberg portrayed Mark Zuckerberg in the 2010 film “The Social Network,” so it made sense to him that he should meet the Facebook founder in person as he was preparing for the role.
Meta — and the rest of Big Tech — has been chasing face computers for years. Maybe 2025 will be the year it happens?
Meta CEO Mark Zuckerberg is reportedly looking to buy property in Washington DC – the latest sign of his ongoing effort to cozy up to the Trump administration.
In a meeting with Meta employees on Thursday, Mr. Zuckerberg also doubled down on recent changes to the company’s online speech policies and ending its diversity initiatives.
With Meta’s Llama series already making waves in the AI community, the forthcoming Llama 4 promises to push boundaries even further. Zuckerberg outlined ambitious plans for this next-generation model, as well as Meta’s broader vision for personalised AI assistants, multimodal capabilities, and open-source collaboration.
In a town hall, Meta CEO Mark Zuckerberg said the company remains committed to diversity and free expression after unwinding DEI programs
Recently, DeepSeek stated that its models match or surpass its main American rivals at a fraction of the cost, including Meta’s own Llama models, challenging the prevailing belief that scaling AI requires vast computing power and investment.