you can't make this stuff up

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Comments

  • memento_mori
    memento_mori Posts: 6,059 ✭✭✭✭✭

    @d_blades said:

    @Yakster said:
    Shame that, my Wife's allergic to kiwi fruit. 🥝

    Might try just a little bit.

    WELL??? Did it make your boobs feel better? Or did you try it on the boys???

  • Olekingcole
    Olekingcole Posts: 1,609 ✭✭✭✭✭

    Does it work on other body parts?

    I don't have problems, just more work to do.

  • Amos_Umwhat
    Amos_Umwhat Posts: 10,184 ✭✭✭✭✭

    @d_blades said:

    @Yakster said:
    Shame that, my Wife's allergic to kiwi fruit. 🥝

    Might try just a little bit.

    You know, just the tip.

    "If you do not read the newspapers you're uninformed.  If you do read the newspapers, you're misinformed." --  Mark Twain
  • memento_mori
    memento_mori Posts: 6,059 ✭✭✭✭✭

    Ambient Longevity: What If Your Life Was Already Measuring Your Health?

    What if the data needed to guide you toward a longer, healthier, happier life already existed… and nobody was using it?

    That’s the premise behind Ambient Longevity. Not a new device. Not another dashboard. A continuous, personal health intelligence that monitors and analyzes the data your life already generates, and uses it to guide you toward your objectives, in real time, without adding friction.

    Imagine if we could stop asking patients to reorganize their lives around their health. Instead, embed health intelligence into the life they’re already living.

    What It Could Look Like

    Five layers of data (most of which already exist) feeding one unified model:

    1. Biology. Your genomics, proteomics, metabolomics, and routine biomarkers: from annual panels to imaging etc. Thats the foundation.

    2. Lifestyle. Already measured by wearables and devices you own. Sleep, HRV, activity, recovery, VO2 estimates. Oura, Whoop, Apple Watch, Garmin they’re collecting it. But they dont unify.

    3. Behaviors. How you eat, what you buy, how you move through your day, your social patterns, your screen time. Apple, Amazon, Google, and your phone already know this in extraordinary resolution.

    4. Environmental. Light exposure, EMF, PM2.5, PFAS levels, water quality, air quality, UV index. We measure all of it. We just don’t connect it to individual health trajectories.

    5. Life milestones and goals. Your voice, your intentions, your life stage. Are you training for a marathon or recovering from a divorce? Planning a pregnancy or navigating menopause? The same biomarkers mean different things depending on what you’re optimizing for.

    What It Does

    Once these layers are unified, Ambient Longevity drafts personalized recommendations based on your objectives, not generic population averages. And it deploys specialized agents to guide execution:

    A mental health agent that tracks mood patterns, stress markers, and cognitive load
    A physical performance agent that adapts training to recovery, sleep, and biological age
    A nutrition agent that adjusts recommendations based on what’s actually in your kitchen, your metabolic response, and your goals
    A travel and environment agent that anticipates jet lag, altitude changes, air quality shifts, and adjusts protocols before you feel the impact
    You get it you could train agents to provide n-of-1 guidance.

    The Key Insight

    This data already exists. It sits in Google, Amazon, Oura, Whoop, your EMR, your banking app, your calendar. What didn’t exist was a way to analyze it in real time, across all domains, for one individual.

    Today, it does. And it does it better than any human could. Not because AI is smarter than physicians, but because no physician can monitor five data layers continuously, 24 hours a day, 365 days a year, and adjust recommendations in real time.

    The Hard Question

    If the data exists and the technology works, the question isn’t technical. It’s ethical. How do we make it ethical? The data must serve the individual, not the platform. Your health model should be proprietary to you, not owned by a corporation monetizing your biology.

    How do we make it equitable? The current longevity model serves the wealthy. Ambient Longevity runs on infrastructure that already reaches billions. It doesn’t require concierge memberships or $10,000 panels. It requires a new philosophy about whose interests the data should serve.

    How do we keep it controlled by the individual? Open-source models., decentralized architecture, federated learning… where your data trains your model locally without ever leaving your device. No central database. No corporate ownership. Your biology, your intelligence, your control.

    Ambient Longevity isn’t the future. The data exists. The AI exists. The infrastructure exists. What’s missing is the commitment to making personal health intelligence ethical, equitable, and individually controlled. When knoledge and data become ubiquitous, the predict physician could bring wisdom, experience, and guidance.

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