The self-described “social network for AI agents”—humans can observe but can’t chime in—launched one week ago. But Moltbook already has an awful lot of people fussing and fighting over what it means in the grand scheme of all things AI. The self-described “social network for AI agents”—humans can observe but can’t chime in—launched one week ago. But Moltbook already has an awful lot of people fussing and fighting over what it means in the grand scheme of all things AI. | | |
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Someday the computerization of medicine will be recognized as the game-changing, paradigm-shifting, everything-upending “disruptive innovation” that so many healthcare watchers and stakeholders have been waiting for. “Today,” however, “it’s often just plain disruptive.” Someday the computerization of medicine will be recognized as the game-changing, paradigm-shifting, everything-upending “disruptive innovation” that so many healthcare watchers and stakeholders have been waiting for. “Today,” however, “it’s often just plain disruptive.” | | |
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Those who closely follow news and views on AI risk missing out on nine other technology categories that are changing our world just as fast. Or, as Stanford Prof. Condoleezza Rice puts it, “History will judge not only what we invented but also how and why we chose to do so.” Those who closely follow news and views on AI risk missing out on nine other technology categories that are changing our world just as fast. Or, as Stanford Prof. Condoleezza Rice puts it, “History will judge not only what we invented but also how and why we chose to do so.” | | |
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Recent days have seen some nerve-rattling brain dumps about the near future—including five figurative minutes from now—authored by tech luminaries who specialize in AI innovation. Recent days have seen some nerve-rattling brain dumps about the near future—including five figurative minutes from now—authored by tech luminaries who specialize in AI innovation. | | |
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More than 75% of U.S. nurses have high hopes in generative AI’s promise for improving productivity. But less than half feel prepared to use it effectively. Never mind that almost 60% use it in their personal lives. More than 75% of U.S. nurses have high hopes in generative AI’s promise for improving productivity. But less than half feel prepared to use it effectively. Never mind that almost 60% use it in their personal lives. | | |
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Nurses are struggling to accept workplace assistance from AI. Not all, of course, but enough of them that those who appear to be resisting the relentless march of progress catch the public’s eye. Nurses are struggling to accept workplace assistance from AI. Not all, of course, but enough of them that those who appear to be resisting the relentless march of progress catch the public’s eye. | | |
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Utah made waves last month when the state announced it would let an AI chatbot autonomously order drugs for patients. The move struck some observers as something of a high-stakes gamble. Utah made waves last month when the state announced it would let an AI chatbot autonomously order drugs for patients. The move struck some observers as something of a high-stakes gamble. | | |
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Medical AI is likely to pass along potentially dangerous misinformation when the distortion comes to the model from a normally trustworthy source using a convincingly authoritative voice. Medical AI is likely to pass along potentially dangerous misinformation when the distortion comes to the model from a normally trustworthy source using a convincingly authoritative voice. | | |
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A growing chorus of academic physicians, policy experts and public health specialists is harmonizing behind the idea of licensing medical GenAI models like they’re doctors or nurses. A growing chorus of academic physicians, policy experts and public health specialists is harmonizing behind the idea of licensing medical GenAI models like they’re doctors or nurses. | | |
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2026 may be the year that many if not most healthcare leaders arrive at a fork in the road to mature AI implementation. 2026 may be the year that many if not most healthcare leaders arrive at a fork in the road to mature AI implementation. | | |
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