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		<title>AI Feature Sprawl: Why Engineering Teams Are Quietly Retiring the AI Features They Shipped Last Year</title>
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		<dc:creator><![CDATA[wiredgorilla]]></dc:creator>
		<pubDate>Tue, 22 Sep 2026 07:43:09 +0000</pubDate>
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		<category><![CDATA[Artificial Intelligence (AI)]]></category>
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					<description><![CDATA[The industry has spent three years optimizing for one metric: whether the AI feature shipped. Almost none of the internal scorecards I have seen track what happens twelve or eighteen months after that....]]></description>
		
		
		
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		<title>Synthetic Data Is Becoming an AI Engineering Requirement</title>
		<link>https://envo.app/internet-news/synthetic-data-is-becoming-an-ai-engineering-requirement/</link>
		
		<dc:creator><![CDATA[wiredgorilla]]></dc:creator>
		<pubDate>Thu, 17 Sep 2026 07:42:52 +0000</pubDate>
				<category><![CDATA[Internet News]]></category>
		<category><![CDATA[Artificial Intelligence (AI)]]></category>
		<category><![CDATA[Big Data]]></category>
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		<category><![CDATA[Compass]]></category>
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					<description><![CDATA[The first mix-up is calling synthetic data “fake” and therefore useless. Invented records are the point, because they can leave the production perimeter. Usefulness is a separate test, measured by whether a model...]]></description>
		
		
		
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		<title>Test Evidence vs. Test Activity: What Auditors Actually Want From Your Automation</title>
		<link>https://envo.app/internet-news/test-evidence-vs-test-activity-what-auditors-actually-want-from-your-automation/</link>
		
		<dc:creator><![CDATA[wiredgorilla]]></dc:creator>
		<pubDate>Tue, 15 Sep 2026 11:09:54 +0000</pubDate>
				<category><![CDATA[Internet News]]></category>
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					<description><![CDATA[To put this another way, auditors don’t care just about test results. They want to see an end-to-end journey that covers everything from test design, to execution, to interpretation, to maintenance, and to...]]></description>
		
		
		
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