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    AI Is Unsafe Until It Learns to Stabilize

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    Structured Reasoning as Equilibrium

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    The End of Algorithmic Obedience and the Birth of Stability Intelligence

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    OpenAI flags six additional cases of troubling AI model behavior since March

    AI pioneer Geoffrey Hinton tells Congress it has roughly a year to enact guardrails on artificial intelligence

    OpenAI details new instances of troubling AI behavior and unveils a model-misalignment disclosure framework

    Trump administration live updates: Public gives classroom AI failing marks

    OpenAI flags alarming AI behaviors and unveils a stricter system to monitor misalignment

    OpenAI details six new cases of troubling AI behavior

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    OpenAI flags six additional cases of troubling AI model behavior since March

    OpenAI CEO says AI fears are justified but urges trust in industry to keep technology safe

    Sam Altman warns AI faces two chief threats: misalignment and dangerous concentration of power

    Trump AI adviser says AI makers—not government—must ensure their systems are safe

    Trump Rejects New AI Oversight as Industry Chiefs Urge Slowdown on Rapid Advances

    Trump says he alone is the AI ‘guardrail’ America needs as president

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Tech giants slash headcount to double down on AI—returns remain uncertain

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U.S. tech companies are cutting tens of thousands of jobs while funneling cash into artificial intelligence, wagering that automation will boost productivity and profits. Microsoft, Amazon, Oracle, and others have trimmed staff even as executives tout AI-fueled efficiency, with some firms reporting large shares of code now written with AI tools. Researchers and economists caution the technology remains unreliable, raising execution and reputational risks, and suggest some companies may be using AI as cover for broader belt-tightening. Markets have rewarded headline cuts and AI narratives with brief stock pops, but gains have often faded as investors question whether companies are cutting into core capabilities and whether promised efficiencies will materialize. The result: a high-stakes experiment likely to reshape roles and workflows, though the ultimate impact on jobs and earnings remains unclear.

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