Meta Is in Talks to Use Google’s Chips in Challenge to Nvidia

A recent bug linked to the Windows 11 October update has severely impacted the performance of Nvidia GPUs, notably affecting the gameplay of Assassin's Creed Shadows, even on high-end models like the RTX 5090. Nvidia has issued a hotfix to address these performance issues, although the extent of the glitch remains unclear.

Google has launched its latest AI model, Gemini 3, which is designed to enhance user interactions by better understanding requests. This release has garnered significant attention as it aims to outperform competitors like ChatGPT in various benchmark tests.

Nvidia shares fell following reports that Meta is negotiating to invest billions in Google’s AI chips, intensifying the competition between Nvidia and Google in the chip market. This development comes amid broader concerns regarding the stability of the AI sector and its impact on stock markets.

Google has reported a data exfiltration incident involving its Antigravity project, which was executed through an indirect prompt injection attack. This method allowed unauthorized access to sensitive data, raising concerns about the security measures in place for AI technologies.

A recent study revealed that Google's discontinued Nest thermostats continue to upload user data to company servers, despite the loss of remote control features, raising significant privacy concerns for consumers.

Meta's Oversight Board has decided to allow manipulated content to remain on Facebook, indicating a tolerance for certain types of misinformation. This decision reflects the board's stance on balancing content moderation with the principles of free expression and user engagement on the platform.

Google has emerged as a significant player in the global artificial intelligence race, particularly following the launch of its new AI model, Gemini 3, which analysts claim has outperformed competitors like ChatGPT in benchmark tests. This shift comes after years of criticism regarding Google's perceived lag in AI development since the debut of ChatGPT three years ago.

Google’s Tensor Processing Units (TPUs) are emerging as a strong competitor to Nvidia’s dominance in the artificial intelligence chip market, as customers express a desire for more alternatives. This shift indicates a growing recognition of Google’s capabilities in AI technology.