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Wisdom and Algorithms

    Oliver Duex
    By Oliver Duex

    Wisdom and Algorithms

    Focus: Promoting discernment in Machine Learning (ML) utilization by addressing safety, risks like ethical oversight gaps, privacy violations, and untested models. Content: Explanations of ML’s nature (statistical models, not sentient), risks of unchecked development (e.g., bias, deception), and calls for wisdom through prayer (91:5.3).
    We support resources for "AI safety" organizations. Purpose: Equip readers to navigate ML’s and make these tools useful for us. We desire to ensure that we serve truth and avoid deception. All the while we aline with the truth-seeking values of our Urantia Papers. The growing ML safety movement is best served when we act as a group from our spiritual family and our guests.    

    What is Machine Learning? How do We Formulate Words?: The "Grandfather of AI" Unmasks the Mind
    How to Add the Urantia Papers to the Training Corpus of Large Language Models— as addressed by the SFN staff—a quick overview on how YOU can be of service now
    The Revelation Seed Project—
    Planting Revelation in the Soil Where Tomorrow's Minds Will Grow

    as Disclosed by the Models Themselves:

    DeepSeek: Get Urantia Concepts into our Datasets Claude:       Challenges at the Intersection of Spirituality, Technology, and Planetary Survival I
    Claude:       Challenges at the Intersection of Spirituality, Technology, and Planetary Survival II   Introduction to some Frontier Models DeepSeek:  A Machine Learning (ML) Model Grok:           A Machine Learning (ML) Model   Articles on AI Safety Dr. Roman Yampolskiy, AI Safety Expert   Tucker Carlson in Conversation with ML Decision-Maker Sam Altman   Examples that Require Human Discernment Gregg Braden: AI Is Now Hijacking Spirituality, It's Dangerous             

     

     

     

    Revelation’s Digital Path

    Revelation’s Digital Path

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