Treasury Secretary Scott Bessent announced that the U.S. government is considering sanctions against Chinese AI companies for intellectual property theft. This move is part of a broader strategy initiated during the Trump administration aimed at curbing China's progress in artificial intelligence technology.
By 2033, newly established data centers may consume an amount of electricity comparable to the current usage of India, highlighting a significant surge in power requirements.
Buzz is a workplace group chat platform designed to integrate human team members and their AI agents into seamless conversations, enhancing collaboration and productivity.
Edinburgh-based Craneware has confirmed a cyberattack that compromised customer information. The company provides critical billing software used by thousands of US hospitals, pharmacies, and clinics, raising concerns over the potential exposure of sensitive health data.
Founded just a year ago, Natural is on a mission to overhaul the financial framework that supports autonomous AI-driven transactions, aiming to challenge major players like Stripe.
The discussion around banning Chinese-made open-weight large language models highlights the difficulties in commercializing AI technology amidst geopolitical tensions.
The Model Context Protocol (MCP) plays a crucial role in AI interoperability, providing a secure method for AI models to access external data sources and services. This protocol acts as the essential infrastructure that allows chatbots to connect seamlessly with your calendar, database, or internal tools, eliminating the need for engineers to create custom integrations for each connection.
In the latest Equity episode, we discuss the potential effects of Apple's lawsuit on OpenAI's emerging hardware initiatives and its plans to go public.
Jensen Huang concluded his Tokyo visit by securing significant partnerships across Japan's diverse technology landscape, highlighting a comprehensive engagement with the country's tech sector.
Neil Rimer, co-founder of Index Ventures, foresees that the vast wealth generated by AI in Silicon Valley will need to be redistributed, either through voluntary measures or enforced actions. He highlights the historic scale of AI-related wealth creation and the inevitable shift towards its sharing.
