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    AI Is Unsafe Until It Learns to Stabilize

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    Structured Reasoning as Equilibrium

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    Watch: Trump Proposes Renaming Artificial Intelligence as ‘Super Intelligence’

    Jensen Huang denounces AI ‘doomsday’ warnings as irresponsible, questions motives behind industry fear campaigns

    UN-backed science panel urges tougher controls as autonomous AI agents outpace safeguards

    U.S. Floats Plan to Swap AI Safety Warnings With China, Treasury’s Bessent Says

    Nvidia CEO Jensen Huang: ‘Zero chance’ AI wipes out humanity by 2030

    Gates says Trump is downplaying AI dangers, reflecting a broader societal blind spot

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    Researchers say they used Anthropic’s Claude to breach a ChatGPT employee account, highlighting LLM security gaps

    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

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Gates says Trump is downplaying AI dangers, reflecting a broader societal blind spot

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Bill Gates said President Trump’s dismissal of artificial-intelligence risks as a “hoax” underscores a wider public blind spot about the speed and scale of recent advances. In a CBS Mornings interview, Gates called AI an “evolutionary event” that could boost productivity and services while also enabling bioterrorism and financial crimes, echoing calls by industry leaders to temper the pace of development. Gates argued that political leadership on AI could yield global credit and said the Gates Foundation will spend $1 billion over two years to expand access to AI tools in education, healthcare and agriculture, particularly for non-English languages, via a 60-member coalition including Anthropic, Google, Microsoft and the OpenAI Foundation. He warned that white-collar roles in law, customer service, medicine, software and manufacturing face faster disruption than in prior tech shifts, with policy needed to cushion job losses.

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