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    AI Reasoning Needs Multiple Viewpoints

    AI Reasoning Needs Multiple Viewpoints

    Intelligence as Collaboration

    Intelligence as Collaboration

    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 House of Cards

    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

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

    The End of Why

    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

    Robotics and the Dream of Mechanical Mind

    SpaceX secures $60 billion option to acquire AI coding startup Cursor

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Home Health

Accelerating RNA Vaccine and Therapy Development with Artificial Intelligence

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In a major advance for the burgeoning field of RNA medicine, MIT engineers have harnessed artificial intelligence to expedite the development of lipid nanoparticles (LNPs) that deliver RNA vaccines and therapies. Leveraging a machine-learning model inspired by large language models, the researchers trained the algorithm on thousands of LNP formulations to predict more efficient delivery vehicles for mRNA. The method enables rapid optimization of nanoparticles for different cell types and therapeutic applications, ranging from infectious disease vaccines to treatments for metabolic disorders like diabetes and obesity. Early tests revealed new AI-designed formulations outperform commercially available LNPs, holding promise for swift translation to real-world medicines. As research continues, AI-driven formulation could reshape how next-generation RNA therapies reach patients, improving efficacy and speed while lowering costs.

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