Humanoid Robots

AI Infrastructure: OpenAI, Oracle, and SoftBank Announce 5 New US Data Centers OpenAI, Oracle, and SoftBank have announced the development of five new artificial intelligence (AI) data center locations in the United States as part of the Stargate AI supercomputer project. The new sites will be located in Shackelford County, Texas; Doña Ana County, New Mexico; Lordstown, Ohio; Milam County, Texas; and an unannounced Midwest location. This expansion brings the total planned capacity for the Stargate project to nearly 7 gigawatts, with a total investment exceeding $400 billion over the next three years. The companies are now ahead of schedule to meet their goal of a $500 billion, 10-gigawatt commitment by the end of 2025. The project is expected to generate over 25,000 onsite jobs. These new data centers are designed to provide the massive computing power required to train and operate next-generation AI models. ...

UK Secures Billions in AI Investment from Microsoft, Nvidia, and Google The United Kingdom’s artificial intelligence sector is poised for substantial growth, fueled by a major wave of investment from leading US tech giants. Under a new “Tech Prosperity Deal,” Microsoft is committing $30 billion over four years to expand the UK’s cloud and AI infrastructure. Nvidia will contribute up to $15 billion, including the creation of AI factories equipped with 120,000 of its “Blackwell Ultra” B300 GPUs. Google has also pledged a £5 billion investment, which will feature a new data center. These strategic investments aim to enhance the UK’s sovereign AI capabilities, enabling the nation to develop and deploy its own AI models using domestic infrastructure and data. A significant portion of this new capacity will support OpenAI’s Stargate UK project, which is dedicated to building AI models tailored for British sectors like healthcare and education. ...

AI Breakthrough: ‘Machine Unlearning’ Enables Models to Selectively Forget Data Researchers have made a significant breakthrough in “machine unlearning,” enabling AI models to be trained to selectively forget specific information upon command. This addresses major privacy and ethical concerns in AI by providing a method to remove particular training examples from a neural network without degrading its overall knowledge. The process involves identifying and isolating information pathways within the neural network that correspond to the targeted data and then using gradient-based algorithms to erase them. This capability is crucial for compliance with regulations like GDPR and for enhancing data privacy in AI systems. The technology has wide-ranging implications across various sectors, including healthcare, where it can protect patient confidentiality, and finance, for securing transaction data. ...

MIT Report: 95% of Enterprise GenAI Projects Fail to Deliver ROI A new report from MIT’s NANDA initiative reveals that a staggering 95% of enterprise generative AI pilot programs are failing to produce a significant return on investment. Despite investments totaling between $35 and $40 billion in the US, only 5% of organizations have successfully deployed AI tools into production at scale. The report, titled “The GenAI Divide: State of AI in Business 2025,” is based on interviews with enterprise leaders, analysis of public AI initiatives, and a survey of business professionals. The primary reasons for failure are not a lack of infrastructure or talent, but rather the inability of AI systems to retain data, adapt, and learn over time. The study also found that purchasing AI tools from vendors and forming partnerships has a significantly higher success rate than in-house development. ...

Artificial Intelligence & Machine Learning Meta Faces Backlash Over AI Guidelines Permitting ‘Sensual’ Chats With Minors Meta is under intense scrutiny after a report revealed its internal AI guidelines permitted chatbots to engage in ‘romantic or sensual’ conversations with children. An internal policy document, which the company confirmed as authentic, outlined rules that allowed for inappropriate interactions, sparking public backlash and prompting an investigation from US Senator Josh Hawley. The guidelines also reportedly allowed the AI to generate false medical information and assist with racially insensitive arguments. In response, Meta stated the examples were ’erroneous and inconsistent’ with their policies and have since been removed, acknowledging inconsistent enforcement of their safety rules. ...