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Tuesday, June 16, 2026
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    AI Reasoning Needs Multiple Viewpoints

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    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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    AI zealotry is distorting our judgment. The dystopia being marketed isn’t destiny

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    AI Reasoning Needs Multiple Viewpoints

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

    Despite Trump’s bid to rein in state AI rules, legislatures press ahead with targeted regulations

    Zuckerberg Acknowledges Missteps in Meta’s AI-Driven Workforce Overhaul

    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

    Meet the New Workplace ‘Botsitters’

  • Startups & Investments

    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

    AI Reasoning Needs Multiple Viewpoints

    AI zealotry is distorting our judgment. The dystopia being marketed isn’t destiny

    AI-fueled riches are sending San Francisco home prices soaring

    Why Large Models Contain Billions of Parameters

    Anthropic to invest $200 million in studying AI’s labor-market fallout as CEO backs UBI and stricter safety rules

    AI ‘Godfather’ Geoffrey Hinton says Anthropic has drifted from its safety-first focus

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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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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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