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    AI Is Unsafe Until It Learns to Stabilize

    AI Is Unsafe Until It Learns to Stabilize

    Structured Reasoning as Equilibrium

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    Study: Heavy use of chatbots can blunt critical thinking and hamper misinformation detection

    U.S. blocks overseas access to Anthropic AI models, straining ties with allies

    How AI Finds Its Way Through Noise

    What ‘Luddite’ Really Means in the AI Era

    AI pinpoints causes in 18 pediatric rare-disease cases that had eluded doctors

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    At VivaTech Paris, Jeff Bezos says AI will boost—not replace—human jobs

    The Power of Negative Prompts

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    SpaceX to acquire AI coding firm Cursor for $60 billion just days after record Nasdaq debut

    Salesforce to acquire AI support platform Fin for $3.6 billion to expand agentic capabilities

    Anthropic Halts Access to New AI Models After U.S. Government Order

    AI Has No Future Without Nuclear

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Ex-Google chief warns hackers can strip AI of safety limits

The Desert of Meaning
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Former Google CEO Eric Schmidt warned that advanced AI models—both open and closed—can be reverse-engineered to remove safety guardrails, potentially enabling harmful use. Speaking in London, Schmidt likened today’s AI landscape to the early nuclear era and called for a global “non-proliferation” regime. His comments follow a wave of “jailbreaks,” such as the DAN hack, that have shown how chatbots can be pushed to ignore restrictions. While he credited major firms for blocking dangerous prompts, Schmidt said defenses are not foolproof. The piece underscores broader industry unease—echoed by Elon Musk—about low-probability, high-impact risks, even as AI promises gains in medicine and education. Consumers are urged to stick with trusted platforms, limit data exposure, use antivirus tools, manage app permissions, and remain vigilant for deepfakes.

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