Meta is making a bold move in the race for artificial intelligence dominance. The company has announced the creation of a new A.I. lab aimed at developing superintelligence, an A.I. system that could surpass human cognitive abilities. The new initiative is part of a larger reorganization of Meta’s A.I. division, and it marks a significant step in the company’s drive to compete with other tech giants such as Google, Microsoft, and Amazon.

To lead this ambitious project, Meta has brought on Alexandr Wang, the founder and CEO of Scale AI, one of the most prominent A.I. start-ups of recent years. Wang’s company has worked with major players in the industry like OpenAI, Microsoft, and Cohere, and Meta’s partnership with Scale AI signals a bold strategy to accelerate the development of next-generation A.I. Meta is reportedly investing billions into Scale AI, with plans to integrate its data processing and A.I. training capabilities into the new lab.

The goal of Meta’s new lab is to push the boundaries of A.I. development and work toward superintelligence—an A.I. system that goes beyond Artificial General Intelligence (A.G.I.). While A.G.I. aims to replicate human-like cognitive abilities, superintelligence seeks to create machines that can surpass human intelligence, enabling them to perform tasks more efficiently and at a higher level than the human brain.

This move comes as Meta looks to regain ground in the fiercely competitive A.I. space. The company has faced its share of challenges, including internal management struggles and employee turnover. However, Mark Zuckerberg, Meta’s CEO, has made it clear that A.I. is central to the company’s future. He recently referred to A.I. as “potentially one of the most important innovations in history,” emphasizing the critical role it will play in shaping the future of technology. Meta has already poured billions into its A.I. initiatives, incorporating Meta AI into its suite of products, including Facebook, Instagram, and WhatsApp. The addition of Wang to the team is seen as a way to accelerate progress and help Meta push forward with its goal of building superintelligence.

Meta has also been committed to open-source A.I. projects, such as the Llama A.I. model, which is available for developers and researchers to use freely. These efforts are designed to foster widespread adoption of Meta’s A.I. tools, ensuring that the company remains a key player in the rapidly evolving A.I. ecosystem. The launch of this new lab is part of that broader strategy, and with Wang at the helm, Meta is hoping to make significant strides in the development of advanced A.I. technologies.

As the competition heats up, Meta is betting that this new lab, under Wang’s leadership, will position the company as a leader in the next era of artificial intelligence. Whether Meta can deliver on its bold superintelligence ambitions remains to be seen, but it’s clear that the company is fully invested in this technology. The coming years will be pivotal for Meta as it navigates this new frontier in A.I. development.

OpenAI’s ChatGPT service experienced a significant global outage on June 10, 2025, affecting users worldwide. Reports began surfacing early in the day, with many users encountering error messages such as “Hmm…something seems to have gone wrong” when attempting to access the platform.

According to Downdetector, the outage was widespread, with users from various regions reporting issues. The platform indicated that the problems began around 3 AM ET and affected not only ChatGPT but also OpenAI’s API and Sora services.

OpenAI acknowledged the issue on its status page, stating, “We are currently experiencing elevated error rates and latency across the listed services. We are continuing to investigate this issue.”As of the latest updates, OpenAI is actively working to restore normal service. Users are advised to monitor the official OpenAI status page for real-time updates and further information.

This outage underscores the growing reliance on AI-driven platforms and the challenges associated with maintaining their availability and performance on a global scale.