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    AI Reasoning Needs Multiple Viewpoints

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    Intelligence as Collaboration

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    Stabilize and Unstabilize A Framework for Real World AI

    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

    Structured Reasoning as Equilibrium

    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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    AI’s rise fuels fears of expanded government surveillance, igniting a Capitol Hill clash over FISA reforms

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    Super Bowl champ Steve Beuerlein turns to AI for early detection of heart risks

    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

    Nvidia’s Toughest AI-Chip Challenger Isn’t AMD, Intel, or Broadcom—It’s Google

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    Super Bowl champ Steve Beuerlein turns to AI for early detection of heart risks

    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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California Colleges Shell Out Millions on Faulty Plagiarism and AI Detection Tools—Are They Worth It?

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The article investigates California colleges’ growing reliance on costly plagiarism and AI-detection software, especially Turnitin, despite concerns over its accuracy, high costs, and student privacy. Since the rise of generative AI tools like ChatGPT, colleges have increasingly sought to police academic integrity, spending millions on detectors that often yield false positives and collect student work for corporate databases. These tools can create anxiety and confusion for honest students, flag non-native English speakers unfairly, and blur the lines of what constitutes legitimate use of technology in writing. Critics argue faculty and institutions should focus on building trust, clarifying AI policies, and training rather than resorting to faulty surveillance tools. The article highlights that despite mounting evidence of limited effectiveness and growing backlash, most colleges continue to renew their contracts, prioritizing deterrence over nuance and potentially undermining both student trust and intellectual property rights.

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