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    "headline": "Agentic AI Accelerates Search for Crops Harvesting Critical Minerals",
    "dek": "Agentic AI is accelerating the search for crops capable of harvesting critical minerals to reduce US reliance on foreign sources.",
    "prose": "The United States has historically relied on foreign sources for most of the raw materials powering its technological future, including essential minerals in smartphones and battery packs. [^1]\n\nGoogle Cloud has released an update to its AI agent framework that integrates native image generation capabilities. [^2]\n\nThe author designed an AI agent specifically to observe its own operations and behavior. [^3]\n\nAgent memory is defined as information written to external storage during runtime and retrieved in later calls, distinguishing it from system prompts, conversation history, and static knowledge bases. [^4]\n\nResearchers are utilizing agentic AI to accelerate the search for crops that can harvest critical minerals. [^5]\n\nThe goal of using agentic AI in this context is to reduce the United States' reliance on foreign sources for critical minerals. [^6]\n\nAgentic AI can execute multiple operations across various systems within seconds, unlike humans whose impact is limited by reaction speed. [^7]\n\nEyal Alkalay, CIO of Verbit, stated that the solution to AI security concerns is not to slow down the application of AI. [^8]\n\nIf Agentic AI possesses excessive authority and receives malicious instructions, gets malware injected, or simply makes a wrong decision, the consequences will spread very rapidly. [^9]\n\nThe challenge for the industry and Verbit is to ensure that security, identity, authority, and monitoring develop at a speed equivalent to AI agents. [^10]\n\nThe new feature couples image generation directly with structured prompt synthesis to streamline the workflow. [^11]\n\nThis update transforms AI agents from text-only generators into multimodal tools capable of creating images. [^12]",
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