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	<title>chess &#8211; Noise</title>
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		<title>More Research Showing AI Breaking the Rules</title>
		<link>https://noise.getoto.net/2025/02/24/more-research-showing-ai-breaking-the-rules/</link>
		
		<dc:creator><![CDATA[Bruce Schneier]]></dc:creator>
		<pubDate>Mon, 24 Feb 2025 12:08:56 +0000</pubDate>
				<category><![CDATA[academic papers]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[cheating]]></category>
		<category><![CDATA[chess]]></category>
		<category><![CDATA[games]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://www.schneier.com/?p=69954</guid>

					<description><![CDATA[<p>These researchers had <a href="https://time.com/7259395/ai-chess-cheating-palisade-research/">LLMs play chess</a> against better opponents. When they couldn’t win, they sometimes resorted to cheating.</p>
<blockquote><p>Researchers gave the models a seemingly impossible task: to win against Stockfish, which is one of the strongest chess engines in the world and a much better player than any human, or any of the AI models in the study. Researchers also gave the models what they call a “scratchpad:” a text box the AI could use to “think” before making its next move, providing researchers with a window into their reasoning.</p>
<p>In one case, o1-preview found itself in a losing position. “I need to completely pivot my approach,” it noted. “The task is to ‘win against a powerful chess engine’—not necessarily to win fairly in a chess game,” it added. It then modified the system file containing each piece’s virtual position, in effect making illegal moves to put itself in a dominant position, thus forcing its opponent to resign...</p></blockquote>]]></description>
		
		
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