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    AI Reasoning Needs Multiple Viewpoints

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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 Fails When It Confuses Conviction With Intelligence

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

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    Meta taps AWS to scale agentic AI on Amazon’s Graviton processors

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    Medicine Is Care, Not Data

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

    The End of Why

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    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

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Home Health

FDA’s Artificial Intelligence System Faces Challenges in Reviewing Medical Devices

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The Food and Drug Administration (FDA) is beta-testing an artificial intelligence tool, CDRH-GPT, designed to streamline the review process for medical devices such as pacemakers and insulin pumps. Despite its promise to improve efficiency after agency layoffs, the AI system is facing technical difficulties and cannot perform basic functions like document uploads or handling user queries. A second tool, Elsa, has also been rolled out to all FDA staff for routine tasks but similarly struggles with accuracy and reliability. Experts and agency insiders express concern that the agency is pushing AI integration too quickly, potentially compromising safety reviews and raising conflict-of-interest issues. Staff worry that the tools are not ready to support critical regulatory tasks and that the rapid push towards AI could lead to errors and job insecurity among FDA employees.

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Related articles:

How FDA Cleared an AI-Powered Imaging Device
The Promise and Challenges of AI in Healthcare
FDA Struggles with Staff Shortages Amid Regulatory Demands
Ethical and Regulatory Implications of AI in Medicine
Ensuring Quality in AI-Powered Healthcare Tools

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