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    AI Reasoning Needs Multiple Viewpoints

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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

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    The End of Algorithmic Obedience and the Birth of Stability Intelligence

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    At VivaTech Paris, Jeff Bezos says AI will boost—not replace—human jobs

    The Power of Negative Prompts

    White House order forces Anthropic to shut off its latest AI models over security concerns

    Tech CEOs Share G7 Stage With Trump and World Leaders, Underscoring Shift in Power Over AI Policy

    Robotics and the Dream of Mechanical Mind

    SpaceX to acquire AI coding firm Cursor for $60 billion just days after record Nasdaq debut

    Salesforce to acquire AI support platform Fin for $3.6 billion to expand agentic capabilities

    AI-built ‘universal’ coronavirus vaccine clears first human trial, raising hopes for future pandemic prevention

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    Digital Colonialism

    At VivaTech Paris, Jeff Bezos says AI will boost—not replace—human jobs

    The Power of Negative Prompts

    White House order forces Anthropic to shut off its latest AI models over security concerns

    Robotics and the Dream of Mechanical Mind

    SpaceX to acquire AI coding firm Cursor for $60 billion just days after record Nasdaq debut

    Salesforce to acquire AI support platform Fin for $3.6 billion to expand agentic capabilities

    Anthropic Halts Access to New AI Models After U.S. Government Order

    AI Has No Future Without Nuclear

    Inside the Anthropic–OpenAI Rivalry Driving the Next Phase of AI

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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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