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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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    AI Fails When It Confuses Conviction With Intelligence

    AI-fueled data center surge is sending U.S. household power bills soaring

    Why Autoregressive Language Models Cannot Lead to Human-Level Intelligence

    Anthropic’s ‘Mythos’ AI Flags 2,000+ Software Flaws in 7 Weeks, Withheld from Public Release Over Safety Risks

    Medicine Is Care, Not Data

    Mark Cuban-backed AI venture turns elders’ conversations into keepsake family histories

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    Medicine Is Care, Not Data

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    Silicon Valley’s newest flex: a Sequoia-branded Mac mini to run your AI agent

    U.S. to tighten enforcement against Chinese firms accused of extracting capabilities from American AI models

    OpenAI unveils GPT-5.5, a new AI model aimed at stronger coding, software use, and research

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Home Business

AI boom meets backlash as markets wobble—and Gary Marcus’s warnings finally resonate

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A shaky week for tech has given fresh currency to AI skeptic Gary Marcus, who says the latest models aren’t living up to the hype. After an MIT survey found 95% of corporate gen-AI pilots are failing and OpenAI’s GPT-5 underwhelmed, investors knocked roughly $1 trillion off the S&P 500’s value before a partial rebound tied to rate-cut hopes. Strategists warn that colossal data-center spending and lofty valuations—particularly around Nvidia and Big Tech—may outpace near-term revenue, even as Wall Street stops short of calling a bubble. Former Google CEO Eric Schmidt has also softened expectations for near-term AGI, signaling a mood shift in Washington and Silicon Valley. Banks see productivity gains ahead but caution that “capex indigestion” could weigh on margins and multiples. Marcus argues the market misread AI’s capabilities and economics; history suggests froth, retrenchment, and eventually durable value.

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