KPMG Australia penalises partner for AI misuse – report - internationalaccountingbulletin.com
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reportnationalAnthropic releases part of AI tool source code in 'error' | National | lebanondemocrat.com - maconcountytimes.com
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Why “On Budget” Doesn’t Mean “On Return”
<p>If you’ve worked on any system at scale, you already know this pattern.</p> <p>The dashboard is green.<br> The metrics look stable.<br> Everything appears under control.</p> <p>And yet, the system is drifting in a way the dashboard doesn’t capture.</p> <p>That’s exactly what happens in real estate projects when teams rely on “on budget” as the primary signal.</p> <h2> Budget is a metric. Return is system behavior. </h2> <p>Construction reporting is built like an operational dashboard. It tracks spend against a plan.</p> <p>It answers:<br> Are we within the expected cost boundary?</p> <p>Return metrics answer something else entirely:<br> Is this system still producing the outcome it was designed for?</p> <p>Those are different layers of the system.</p> <p>You can be perfectly within budg

Calibrated Confidence Expression for Radiology Report Generation
arXiv:2603.29492v1 Announce Type: new Abstract: Safe deployment of Large Vision-Language Models (LVLMs) in radiology report generation requires not only accurate predictions but also clinically interpretable indicators of when outputs should be thoroughly reviewed, enabling selective radiologist verification and reducing the risk of hallucinated findings influencing clinical decisions. One intuitive approach to this is verbalized confidence, where the model explicitly states its certainty. However, current state-of-the-art language models are often overconfident, and research on calibration in multimodal settings such as radiology report generation is limited. To address this gap, we introduce ConRad (Confidence Calibration for Radiology Reports), a reinforcement learning framework for fin
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Anthropic releases part of AI tool source code in 'error' | National | lebanondemocrat.com - maconcountytimes.com
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