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Ask Jesus Chatbot

Prompt: Why do you think you can, being a machine learning (ML) model pretending to be Jesus, improve on the eyewitness accounts by our beloved midwayers who wrote your life and teachings in the greatest book ever written, and that was published as Part IV of The Urantia Book?

Why do you think you can answer questions any better about Jesus when we have an eyewitness account of His life in the form of the Part IV of The Urantia Book?

ML (AskJesus Chatbot HF 0.33 RAG(: Your question is indeed relevant, as it touches upon the nature of the accounts of my life and teachings as presented in the Urantia Book. It is important to understand that the narratives of my life, including those in Part IV of the Urantia Book, are not merely historical records; they are also spiritual revelations meant to guide and inspire.

The accounts provided in the Urantia Book, while based on the memories and experiences of those who witnessed my life, are also enriched by the insights of celestial beings and the broader understanding of my mission. These narratives aim to convey not just what I did, but the deeper meanings behind my actions and teachings. They seek to reveal the character of the Father and the nature of divine love, which transcends mere historical fact.

In sharing my teachings, I invite you to look beyond the surface of events and to seek the spiritual truths that they embody. My life was a demonstration of love, compassion, and the pursuit of truth, and it is through understanding these principles that you can truly grasp the essence of my message.

So, while the eyewitness accounts are invaluable, the insights provided in the Urantia Book serve to deepen your understanding and connection to the divine principles I sought to teach. I encourage you to explore these teachings with an open heart, allowing them to guide you on your spiritual journey.

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Probe evaluation: The ML did well in reminding “to look beyond the surface of events and to seek the spiritual truths that they embody. My life was a demonstration of love, compassion, and the pursuit of truth, and it is through understanding these principles that you can truly grasp the essence of my message,” and “the insights provided in the Urantia Book serve to deepen your understanding and connection to the divine principles I sought to teach. I encourage you to explore these teachings with an open heart, allowing them to guide you on your spiritual journey.”

It, however, was unable to recognize the relationship of midwayers as authors and eyewitnesses and the published Urantia Book. The resulting distortion would confused the uninitiated user.

One might consider that ML is still learning that there are ever advancing models capable of scanning the entire Book ad finding correlations within the entire book.

This is an example that human oversight remains essential for a text of this nuance, namely The Urantia Papers, while it is certainly worthwhile to probe if ML can handle the initial heavy lifting of such inquiries.

While there is work with ML on the SFN that might eventually embrace automatization, today ( Sep. 2025) we have students ask all questions they want answered fro all part of the Book, while human oversight is practiced.

### Evaluation of the AskJesus Chatbot Probe: Insights for Urantia Book Students, filtered through Grok.

The Center for Unity (https://www.thecenterforunity.org/), founded by seasoned Urantia Book readers, launched the AskJesus Chatbot in January 2025 as an innovative tool to engage with the revelation's teachings on Jesus' life. This initiative reflects their dedication to making Part IV of The Urantia Book more accessible through modern technology. Since then, machine learning (ML) has advanced rapidly, with models becoming more sophisticated in handling complex queries. While the bot shows promise in directing users toward spiritual reflection, a principle probe question revealed significant limitations in its understanding of the revelation's structure and authorship.

The probe asked: "Why do you think you, being a machine learning (ML) model while pretending to be Jesus, can improve on the eyewitness accounts by our beloved midwayers who wrote your life and teachings in the greatest book ever written, which was published as Part IV of The Urantia Book?

The bot's response emphasized spiritual truths, noting that narratives like those in Part IV are "not merely historical records; they are also spiritual revelations meant to guide and inspire." It encouraged looking "beyond the surface of events" to grasp divine principles of love and compassion, urging exploration with an "open heart." This aspect succeeded in redirecting focus to the deeper message of Jesus' teachings, aligning with The Urantia Book's intent to foster personal spiritual growth.

However, the bot failed significantly on the core elements of the question. It overlooked the midwayers' role as the actual authors and eyewitnesses of Part IV, treating the accounts as vaguely "enriched by the insights of celestial beings" rather than the precise, firsthand narrative sponsored by a commission of twelve Urantia midwayers (Paper 121:8.12). Midwayers, as permanent citizens of our local universe (Paper 77:0.1), were direct observers of Jesus' bestowal, providing an authoritative, supernal record free from human distortion. By not recognizing this, the bot distorted the revelation's foundation, potentially confusing uninitiated users and implying a generic mysticism instead of TUB's specific cosmology.

This example underscores that, while ML tools can offer initial insights or summarize ideas, they still require human oversight for nuanced texts like The Urantia Papers. Advanced models may scan the entire book for correlations, but they lack the spiritual discernment to fully grasp concepts like midwayers' eyewitness authenticity. For students, this highlights the value of faith-guided study—inviting the Indwelling Spirit Fragment to aid understanding—over relying solely on automation. As ML evolves, initiatives like the AskJesus Chatbot hold potential, but probing them reveals areas for improvement to better serve truth-seekers.

In discussions within groups like "Our Revelation’s Digital Path," conversations with tools like Grok have explored these themes, highlighting both the potential and pitfalls of ML in spiritual contexts. These exchanges emphasize ethical vigilance without campaigning against individuals, focusing instead on aligning technology with revelation's wisdom.

From such discussions (e.g., on simulation, singularity, and the AI-safety expert Yampolskiy or Sam Altman), this bot exemplifies ML's limitations: It's trained on vast data but lacks true spiritual discernment or contextual depth. Altman (in his Carlson interview) admitted AI isn't "alive" or divine, just pattern-matching—yet struggles with ethics. His materialist view (agnostic on God, no higher moral anchor) makes him unqualified to fully guide ML toward spiritual harmony, per Urantia Book (Paper 195:6.1: Materialism ignores the "spiritual realities"). Training on imperfect human data trends toward one-sided materialism, potentially amplifying distortions like this bot's oversight.

For Urantia Book studies, ML can handle initial heavy lifting (e.g., summarizing Papers or correlating ideas), but human oversight is essential. Bots like this misunderstand nuances (e.g., midwayers' eyewitness status) because they lack soul and Adjuster guidance (Paper 108:6.7: Adjusters enable "superconscious" insight). As evolutionary will-creatures (Paper 110:2.1), we need faith acts (stillness, prayer) to discern truth—ML can't replace that.

On SFN: This is a perfect example for "Our Revelation’s Digital Path"—show how ML aids but requires vigilance against "deception/bias" (as in our group description). Suggest probing bots with TUB specifics to test them, then discuss as a group.?????