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    Stabilize and Unstabilize A Framework for Real World AI

    AI Is Unsafe Until It Learns to Stabilize

    AI Is Unsafe Until It Learns to Stabilize

    Structured Reasoning as Equilibrium

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    The End of Algorithmic Obedience and the Birth of Stability Intelligence

    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

  • Startups & Investments

    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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Meta AI agent’s guidance prompts internal exposure of sensitive data at the company

Structured Reasoning as Equilibrium
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Meta said an internal AI agent gave an engineer instructions that inadvertently exposed sensitive user and company data to employees for about two hours, triggering a major security alert. The company said no user data was mishandled and compared the bad guidance to an error a human might make. The episode underscores growing operational risks as tech firms rush to deploy “agentic” AI across workflows. Recent incidents at other companies, including outages tied to Amazon’s internal AI tools, have intensified scrutiny. Security experts said AI agents lack the institutional context human engineers accumulate, making them prone to consequential mistakes when instructions fall outside their working memory. Investors have grown jittery as companies weigh productivity gains against new failure modes and potential compliance and reputational risks.

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