The methodology matters too. Privacy-protecting analysis of 600K+ conversations at scale, without exposing individual data, is now a working playbook. That's a real proof point for how healthcare AI research can be done responsibly.

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Microsoft AI just published a Nature paper analyzing 600,000+ health-related Copilot conversations using privacy-protected, eyes-off methods. The findings should change how product teams think about healthcare AI. A short thread on what stood out. 🧵

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@enkoreihi.bsky.social @ihieurope.bsky.social was at the Privacy Symposium (20–24 April), joining global discussions on privacy, AI and healthcare data. Our materials were featured in the European Research exhibition area and we’ll be back in 2027 (26–30 April). #ENKORE #DigitalHealth #Privacy

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I like to think of the mac mini shortage as a cooling off period for people who want to get into openclaw but really shouldn’t. from @laurengoode.bsky.social

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Update! I found an amazing crew in town (Outpost 31 Productions) and commissioned them for a repair and restoration. After several visits and a lot of loving work, the xenomorph is fully repaired and looks incredible.

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