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Welcome to The Prompt by Kuro House, your daily AI update. Today, we’ve got some big moves in AI hardware, new search features, and even AI’s role in health and security. Let’s dive right in.
Meta is doubling down on AI with a massive new deal for Nvidia chips. According to The Verge, Meta is buying millions of Nvidia’s Grace and Vera CPUs, along with Blackwell and Rubin GPUs, to power its data centers. This marks the first large-scale deployment of Nvidia’s Grace-only CPUs, which promise big improvements in performance per watt. Meta is also planning to add Nvidia’s next-gen Vera CPUs in 2027, even as it wrestles with delays in its own in-house AI chip efforts. Interestingly, this deal comes amid fierce competition, with AMD and Google also making major chip deals with AI companies.
Google is making its AI search results more transparent by highlighting links in a new way. The Verge reports that Google will now show links in a pop-up when you hover over sources in AI Overviews and AI Mode on desktop. These pop-ups include descriptions and images, making it easier to see where information is coming from. Google says this update improves engagement and helps users find great content across the web. This comes as Google faces scrutiny over how AI search impacts traffic to news sites and publishers.
Security concerns are mounting around a popular agentic AI tool called OpenClaw. Wired reveals that companies like Meta and others are banning OpenClaw on work devices due to risks of privacy breaches and unpredictable behavior. OpenClaw can take control of a user’s computer to assist with tasks but also has the potential to be exploited by hackers. Some firms are allowing limited, controlled testing to identify security flaws and safeguards. Despite the risks, some see OpenClaw as a glimpse into the future and are cautiously exploring its commercial potential.
AI is also making strides in healthcare, especially for managing diabetes and obesity. Wired highlights Twin Health, a startup using AI and wearables to create digital twins of users’ metabolism. This approach helps people make personalized lifestyle changes, reducing reliance on expensive drugs like GLP-1s. A clinical trial showed 71 percent of participants improved blood sugar control with fewer medications using the Twin program. The app analyzes data from glucose monitors, blood pressure cuffs, and more to offer real-time advice and coaching.
Finally, the European Parliament has blocked AI tools on lawmakers’ devices over security and privacy concerns. TechCrunch reports the parliament’s IT department cited risks around uploading confidential data to AI servers. There’s worry that data shared with AI companies could be accessed by U.S. authorities or inadvertently exposed to others. This move reflects broader tensions between European data protection rules and U.S. tech companies’ practices. It’s a reminder that AI adoption still faces significant legal and regulatory hurdles.
So, AI continues to reshape industries—from powering massive data centers to helping manage health and raising new security questions. It’s clear that as AI technology advances, balancing innovation with safety and transparency remains crucial. Thanks for tuning in to The Prompt by Kuro House. Stay curious, and see you tomorrow.
