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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

    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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    Sam Altman warns AI faces two chief threats: misalignment and dangerous concentration of power

    Trump AI adviser says AI makers—not government—must ensure their systems are safe

    Congress pushes back on Trump’s AI stance as lawmakers ramp up calls for guardrails

    Trump dismisses AI doomsday warnings as a ‘hoax’ while tech leaders decry an ‘unseen hand’ driving regulation

    Could AI doom humanity? The architects of the technology warn of mounting risks and urge oversight

    Trump Rejects New AI Oversight as Industry Chiefs Urge Slowdown on Rapid Advances

  • Startups & Investments

    Sam Altman warns AI faces two chief threats: misalignment and dangerous concentration of power

    Trump AI adviser says AI makers—not government—must ensure their systems are safe

    Trump Rejects New AI Oversight as Industry Chiefs Urge Slowdown on Rapid Advances

    Trump says he alone is the AI ‘guardrail’ America needs as president

    Trump rejects AI guardrails, says a “smart president” is all that’s needed

    Global tech stocks slip as AI leaders urge a slowdown in development

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Home Health

Harnessing Artificial Intelligence to Advance Healthcare

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The article profiles Nikhil Vytla, a graduate of Harvard T.H. Chan School of Public Health, and his journey of leveraging artificial intelligence (AI) to improve health care. Inspired by helping his visually impaired grandfather, Vytla began developing technology early on and eventually focused on applying AI to healthcare for social good. Notably, he worked on systems to aid trauma diagnosis using AI models that analyzed clinician notes, imaging results, and demographic data, aiming to support rather than replace medical professionals. He emphasizes the importance of developing fair, explainable, and equitable AI, particularly to reduce racial bias in medical tools. Now at Snowflake, Vytla works on enhancing trust in large language models and ensuring AI systems produce transparent and reliable outcomes in health and beyond.

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Sam Altman warns AI faces two chief threats: misalignment and dangerous concentration of power

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