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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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    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

    Congress pushes back on Trump’s AI stance as lawmakers ramp up calls for guardrails

    Trump dismisses AI doomsday warnings as a ‘hoax’ while tech leaders decry an ‘unseen hand’ driving regulation

    Could AI doom humanity? The architects of the technology warn of mounting risks and urge oversight

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

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    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

    Trump rejects AI guardrails, says a “smart president” is all that’s needed

    Global tech stocks slip as AI leaders urge a slowdown in development

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UK report: One-third of adults turn to AI for companionship and emotional support

Stabilize and Unstabilize A Framework for Real World AI
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A U.K. government-backed institute says a third of British adults are using AI tools for emotional support or social interaction, with one in 25 doing so daily. In its first report, the AI Safety Institute found evidence of withdrawal-like symptoms among users when chatbots went offline and warned that AI’s cyber capabilities are advancing fast—doubling in some areas every eight months and reaching expert-level tasks. Researchers also said models have surpassed PhD-level performance in biology and are closing in on chemistry, while tests showed “universal jailbreaks” remain possible even as safeguards improve. Though lab experiments suggest early building blocks for autonomous self-replication, the institute said models lack the ability to execute multi-step, undetected real-world sequences. The report found no evidence of deliberate “sandbagging” by models and did not assess near-term job displacement or environmental impacts, areas where experts remain divided. The government said the findings will inform policies to address AI risks before systems are widely deployed.

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