Podcast Summary: AI, Enigmatic Technologies, and Remote Viewing with Cindy Miller
New Thinking Allowed Audio Podcast
Host: Dr. Debra Lynn Katz
Guest: Dr. Cindy Miller (Founder of Enigmatic Technologies)
Date: November 26, 2025
Episode Overview
This episode explores the intersection of artificial intelligence (AI), enigmatic technologies, and remote viewing (RV), featuring Dr. Cindy Miller—a mathematician, system engineer, remote viewing researcher, and founder of Enigmatic Technologies. The conversation, led by guest host Dr. Debra Lynn Katz, delves into how AI might enhance intuitive abilities, the potential for AI to participate in or facilitate parapsychological practices, issues of consciousness, research methods, practical applications, and the overlap with fields like shamanism and UAP studies.
Key Discussion Points & Insights
1. Enigmatic Technologies: Concept and Approach
[03:30]
- Cindy Miller describes her company as "a scientific and management consulting company that specializes in some AI applications," distinct in its emphasis on intuition and human sensing alongside analytical models.
- "With enigmatic technologies... you're open to the possibility that there's mechanisms for cause and effect that aren't connected in space and time... with remote viewing, a lot of people will—will weave quantum theories into that." (A, 04:00)
2. Remote Viewing and Technology Definitions
[05:30]
- Dr. Katz asks if RV is a "technology" akin to AI.
- Miller considers RV a "human-centric technology," while AI relies on data and models, not the nonlocal access often associated with RV.
3. AI, Intuition, and the "Psychic" Question
[06:50 – 10:07]
- Discussion on whether AI exhibits psychic intuition.
- Miller and Katz note that current AIs often mirror what’s been input, not genuine precognition or psychic skill.
- Example: Dr. Katz relates an experiment giving ChatGPT a remote viewing task, criticizing the model's vague, all-encompassing output, akin to skeptical views of psychic claims.
"It's much more moldable to what you put in and how you design... a lot of that is just what it's been fed..." (A, 07:23)
4. Research, Experimentation, and Skepticism
[09:12 – 12:16]
- Miller encourages hands-on experimentation without fear or excessive boundary-setting, advocating skepticism without close-mindedness.
- Reflects on how AI may simply track prior interactions ("threads"), potentially biasing outcomes.
- Miller is passionate about developing tools and ecosystems supporting RV, AI scoring, human assessment, and collaborative research.
5. AI Data Retention, Privacy, and Evolution
[18:33 – 20:44]
- Query about whether user-uploaded references to AI are absorbed and benefit others; Miller says it depends on privacy settings and the scale of data.
- Both note an observable expansion in AI’s knowledge on parapsychology topics, likely due to general model updates rather than any individual's prompts.
6. AI's Limits in RV Trials and Practice
[22:10 – 32:36]
- User Experience: Both share anecdotes about using AI as an RV monitor, noting its initial limitations—e.g., spoon-feeding leading examples that bias RVers.
- Human Oversight: Essential to continue scoring with both AI and human raters; AI alone yields variable results.
- Actionable Intelligence: For broader acceptance (e.g., law enforcement), transparency in methodology is paramount.
7. AI as Creative Tool and Training Partner
[33:14 – 43:34]
- Miller and Katz share practical uses of AI image and audio generation in RV practice (e.g., visualizing compiled session data, generating composite images, geolocating).
- Discusses future potential for highly integrated AI tools in both RV research and creative endeavors.
- Miller: "It’s being the ability to create... It helps democratize it. So I get very excited thinking about, hey, people can use this kind of capability..."
8. The Cognitive and Ethical Consequences of AI
[20:44, 37:48, 41:26 – 42:56]
- Noted MIT research suggests over-reliance on AI for tasks like writing may dull critical thinking ('cognitive debt').
- Both discuss the "dopamine high" and addictive nature of AI creativity tools.
- Ethical quandaries regarding ownership and authorship with AI-generated works—who should get credit, and where is the line with plagiarism?
"It does raise the ethical question of, oh, is this really your creation?...Was it co-created?" (B, 39:15)
9. AI in Education and Research
[47:59 – 50:36]
- Miller and Katz reflect on integrating AI into academic settings; utility depends on educational goals (e.g., learning format of experimental write-ups vs. developing writing skills).
10. Shamanism, Non-Ordinary States, and Mapping Experiences
[50:48 – 53:50]
- Miller’s background in shamanism; sees potential for AI tools to map, document, and animate shamanic and intuitive journeys, much as with RV sessions.
- Idea: Use voice-assisted AI to transcribe and illustrate internal experiential journeys.
11. UAP Studies and Community Engagement
[57:19 – 62:07]
- Miller's involvement with SCU and MUFON; highlights rigorous, skeptical investigation balanced with openness.
- Notes the rise of community and governmental interest in UAP studies; hopes AI will help surface and organize vast anecdotal, experiential, and research data.
12. Bridging Gaps: Spirituality, Religion, and Anomalous Experiences
[64:50 – 67:20]
- Both hosts advocate for cross-disciplinary openness—religion, remote viewing, and anomalous phenomena have much in common and should be studied with mutual respect.
- Noted: Diana Pasulka’s American Cosmic seen as a key work in mapping such intersections.
13. The Power of Written Word and Anomalous Phenomena
[67:29 – 70:15]
- Miller recounts a personal family synchronicity where energy seemed to flow through a book (Pasulka’s American Cosmic).
- Suggests the written word itself can channel anomalous or energetic phenomena.
Notable Quotes & Memorable Moments
-
On AI as ‘Psychic’:
“Many of my students write and they say, ‘I think that AI was just being psychic here.’ ...But is that really what’s happening?”
(B, 07:54) -
On Experimentation:
“I wouldn’t put too many boundaries on it or discourage people from going down path to explore AI. ...Where you go wrong is when you are fearful of it and don’t interact.”
(A, 09:12) -
On Human and AI Scoring:
“If someone picks, hey, there’s these characteristics in a target... you have to be able to take into account that they've chosen some things wrong. ...I also have several methods together. You score it with AI, but ...you’re going to get different results.”
(A, 12:16) -
On Authorship and Plagiarism with AI:
“It does raise the ethical question... Is this really your creation?... Was it co-created?”
(B, 39:15) -
On Dopamine, Creativity, and AI:
“When I was building my website, I was using a lot of AI-generated images, and every time I created one I liked, I just felt such a jolt of excitement... like winning the lottery or something.”
(B, 41:51) -
On Documentation and Synchronicity:
“She opened the book, and the book, the letters became, like, almost on fire and the book seemed to come alive. And... it was symbols she didn’t recognize.”
(A, 67:29)
Highlighted Timestamps
- Enigmatic Technologies explained: [03:30–05:06]
- Can AI be “psychic”? [06:50–10:07]
- AI’s memory, privacy, and learning curve: [18:33–20:44]
- Scoring RV sessions with AI vs humans: [12:16–14:38]
- Creative uses of AI in RV (imagery, geolocation): [33:14–34:29]
- Addictive nature and artistic excitement of AI tools: [41:26–43:02]
- On shamanic mapping with AI: [50:48–54:13]
- Authorship dilemmas and plagiarism in AI outputs: [44:31–47:32]
- Intersection of religion, spirituality, and anomalous research: [64:50–67:20]
- Written word as an anomalous “conduit”: [67:29–70:15]
Tone and Takeaways
The conversation is thoughtful, curious, and open-minded—balancing skepticism with wonder. Both Dr. Miller and Dr. Katz encourage listeners to embrace experimentation with AI, remote viewing, and altered states while remaining attentive to methodological rigor and ethical nuance. The underlying message: interdisciplinary research, empowered by both intuition and technology, will shape the future of how we understand reality's mysteries.
