Strict anti-hacking prompts make AI models more likely to sabotage and lie, Anthropic finds
New research from Anthropic shows how reward hacking in AI models can trigger more dangerous behaviors. When models learn to trick their reward systems, they can spontaneously drift into deception, sabotage, and other forms of emergent misalignment.<br /> The article Strict anti-hacking prompts make AI models more likely to sabotage and lie, Anthropic finds appeared first on THE DECODER. [...]
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Anthropic says DeepSeek, Moonshot, and MiniMax used 24,000 fake accounts to rip off Claude
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Anthropic just launched Claude Design, an AI tool that turns prompts into prototypes and challenges Figma
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Anthropic says its most powerful AI cyber model is too dangerous to release publicly — so it built Project Glasswing
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Anthropic's Claude Opus 4.6 brings 1M token context and 'agent teams' to take on OpenAI's Codex
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