Uploaded March 2024 | Updated September 2026, 3 days ago
Imperfect reflections: Using Artificial Intelligent systems to model non-human alien intelligences
Mark Boccuzzi
The Windbridge Institute
Introduction: Over the past several years, interest in the study of unidentified aerial phenomena (UAPs) has seen explosive growth. While the main focus of these studies currently centers on sightings and interactions with various types of crafts observed by military assets, these encounters are only a small portion of the experiences attributed to extraterrestrial-related phenomena over the years. Previously termed unidentified flying objects (UFOs), the aerial phenomena along with a range of encounter experiences, including direct interaction and communication with non-human alien intelligences (NHAI), abductions, and mysterious animal deaths, to name but a few, are of interest to the field of UFOlogy.
However, our understanding the how NHAIs perceive and interact with our world is still unknown. This exploratory project hypothesizes that NHAIs may not only lack a comprehensive understanding of human culture and morals but also that the very way they perceive reality, including their experiences of space-time, may be radically different from that of humans. These differences could have a significant impact on how NHAIs understand and ultimately choose to interact with us.
This project considers these questions through the study of evolving artificial intelligence (AI) tools. While these tools are developed by humans and trained with human-generated data, they are imperfect reflections of their human creators. Many of these systems are prone to ‘hallucinations’, which are expressed through text and generated images, thus making AIs a type of external entity which observes and responds, in its own way, to human interactions. These hallucinatory anomalous processes expressed by AIs may provide a window into the perceptual and cognitive processes of an intelligence that is observing us but has yet to fully understand us.
Methods: Through a series of sessions with OpenAI’s ChatGPT and several text-to-image systems, the history of UFO/UAP encounters as well as how NHAIs might view the human condition, human interactions with each other, the environment, and other species was explored. Additionally, the possible techniques and technologies NHAIs could use to initiate contact and communicate with humans was examined. While many types of UAP/UFO interactions were explored with the AIs, this presentation focuses on mysterious animal deaths (MADs) associated with UAP/UFO encounters. MADs have been observed and documented for decades, with thousands of cases reported worldwide. These events involve the unexplained and often gruesome deaths of animals, including cows, sheep, and horses. While various theories have been put forth to explain the phenomenon, ranging from natural causes to human actions, many of these cases remain unexplained.
Results: The result of this project is a collection of AI-generated conversations and images that probe how an external intelligence considers life on Earth and the meaning of human life.
Implications / Discussion: The study of UAPs, UFOs, and NHAI perception and communication are important and timely topics of study. By utilizing evolving AI tools and studying these phenomena, researchers may be able to shed light on the nature of NHAI interactions, ultimately paving the way for more effective communication and collaboration between humans and non-human entities.
Bio: Mark Boccuzzi is a research scientist and innovator at the intersection of science, technology, education, and interactive visual arts. As co-founder of the Windbridge Institute, LLC, he works to apply these disciplines to the study of consciousness and psi. Mark’s current work utilizes virtual reality (VR), augmented reality (AR), deep machine learning, and artificial intelligence (AI) to applied psi research. He is a full member of the Parapsychological Association and the Society for Scientific Exploration. Mark is also co-founder, Executive Director, and the Managing Editor of Threshold: Journal of Interdisciplinary Consciousness Studies (TJICS) at the Windbridge Research Center.
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Imperfect reflections: Using Artificial Intelligent systems to model non-human alien intelligences
Mark Boccuzzi
The Windbridge Institute
Introduction: Over the past several years, interest in the study of unidentified aerial phenomena (UAPs) has seen explosive growth. While the main focus of these studies currently centers on sightings and interactions with various types of crafts observed by military assets, these encounters are only a small portion of the experiences attributed to extraterrestrial-related phenomena over the years. Previously termed unidentified flying objects (UFOs), the aerial phenomena along with a range of encounter experiences, including direct interaction and communication with non-human alien intelligences (NHAI), abductions, and mysterious animal deaths, to name but a few, are of interest to the field of UFOlogy.
However, our understanding the how NHAIs perceive and interact with our world is still unknown. This exploratory project hypothesizes that NHAIs may not only lack a comprehensive understanding of human culture and morals but also that the very way they perceive reality, including their experiences of space-time, may be radically different from that of humans. These differences could have a significant impact on how NHAIs understand and ultimately choose to interact with us.
This project considers these questions through the study of evolving artificial intelligence (AI) tools. While these tools are developed by humans and trained with human-generated data, they are imperfect reflections of their human creators. Many of these systems are prone to ‘hallucinations’, which are expressed through text and generated images, thus making AIs a type of external entity which observes and responds, in its own way, to human interactions. These hallucinatory anomalous processes expressed by AIs may provide a window into the perceptual and cognitive processes of an intelligence that is observing us but has yet to fully understand us.
Methods: Through a series of sessions with OpenAI’s ChatGPT and several text-to-image systems, the history of UFO/UAP encounters as well as how NHAIs might view the human condition, human interactions with each other, the environment, and other species was explored. Additionally, the possible techniques and technologies NHAIs could use to initiate contact and communicate with humans was examined. While many types of UAP/UFO interactions were explored with the AIs, this presentation focuses on mysterious animal deaths (MADs) associated with UAP/UFO encounters. MADs have been observed and documented for decades, with thousands of cases reported worldwide. These events involve the unexplained and often gruesome deaths of animals, including cows, sheep, and horses. While various theories have been put forth to explain the phenomenon, ranging from natural causes to human actions, many of these cases remain unexplained.
Results: The result of this project is a collection of AI-generated conversations and images that probe how an external intelligence considers life on Earth and the meaning of human life.
Implications / Discussion: The study of UAPs, UFOs, and NHAI perception and communication are important and timely topics of study. By utilizing evolving AI tools and studying these phenomena, researchers may be able to shed light on the nature of NHAI interactions, ultimately paving the way for more effective communication and collaboration between humans and non-human entities.
Bio: Mark Boccuzzi is a research scientist and innovator at the intersection of science, technology, education, and interactive visual arts. As co-founder of the Windbridge Institute, LLC, he works to apply these disciplines to the study of consciousness and psi. Mark’s current work utilizes virtual reality (VR), augmented reality (AR), deep machine learning, and artificial intelligence (AI) to applied psi research. He is a full member of the Parapsychological Association and the Society for Scientific Exploration. Mark is also co-founder, Executive Director, and the Managing Editor of Threshold: Journal of Interdisciplinary Consciousness Studies (TJICS) at the Windbridge Research Center.
Join this channel to get access to perks:
youtube.com/channel/UCEIXmabw_UhSWTvTS6ftsuA/join
Support the Society’s commitment to maintain an open professional forum for researchers at the edge of conventional science: https://linktr.ee/scientificexploration
The SSE provides a forum for original research into cutting edge and unconventional areas. Views and opinions belong only to the speakers, and are not necessarily endorsed by the SSE.










![Replication Study of Causally Ambiguous Duration Sorting | Winthrop T. Williams
Introduction: The “arrow of time” is so fundamental to our present language and logic that we may think we can logically rule out retrocausation when in fact the lack of retrocausation was built into the axioms underlying that logic. In the absence of these presuppositions, the existence of retrocausation may be no more self-contradictory than the claim that retrocausation does not exist. (Kafatos & Nassikas, 2011).
Empirical results have demonstrated a seconds-to-minutes apparently retrocausal effect manifesting as a correlation between the number of photons measured in an optical system and the future duration of that same photon-detection process (Mossbridge, 2019, 2021). This study is an attempt to replicate this effect.
Methods: Hardware and software were developed independently from those of Mossbridge (2019, 2021), but were operated using the same protocol. Briefly, a light source and photon counter were turned on at the beginning of each run, 33 seconds of photon counts were gathered (in 3 11-second cumulative bins), then a quantum-seeded pseudorandom process was used to select the remaining amount of time photons would be counted. After that duration, the light source and photon counter were turned off. Differences in apparatus include photon detection by a single photon counting module (SPCM), pulse counting using a field programmable gate array, random number generation by discrete logic implementation of an 80-bit shift register pseudorandom number generator clocked by muon detections, a LabVIEW program operating the experiment and appending data to a file, and an RC circuit for ramping the detector voltage up and down which is optically isolated from the computer.
Results: Data have been collected from approximately 34000 trials during 1/2 year of continuous operation from July 27, 2020 to Feb 21, 2021 inclusive. Analysis is in progress.
Discussion: “Post Selection” experiments have demonstrated time symmetry in the evolution of quantum-mechanical systems and are congruent with the standard model of quantum physics (Aharonov et al., 2015). Those experiments support the possibility of apparent retrocausation and show a connection between the direction of causality (arrow of entropic time) and the boundary conditions of the system. Conceivably therefore, such a relationship might be turned around creating what one might call a “time telescope” whereby measurements of retrocausal effects allow us to observe boundary conditions that may be distant in time.
References
Aharonov, Y., Cohen, E., Waegell, M., & Elitzur, A. C. (2018) The weak reality that makes q1uantum phenomena more natural: Novel insights and experiments. Entropy (Basel, Switzerland), 20(11), 854. https://doi.org/10.3390/e20110854
Kafatos, M., & Nassikas A. A. (2011). Retro-causation, minimum contradictions and non-locality. AIP Conference Proceedings, 1408, 291. https://doi.org/10.1063/1.3663730 Published Online: 18 November 2011.
Mossbridge, J. (2019). The influence of future durations on past photon counts in an optical system. 2019 Annual Meeting of the APS Far West Section, 64(17). https://figshare.com/articles/figure/Future_Photon_Figure_1_pdf/9964976
Mossbridge, J. (2021). Long time-frame causally ambiguous behavior demonstrated in an optical system [In preparation for publication]. Retrieved from https://www.researchgate.net/publication/349106030_Long_time-frame_causally_ambiguous_behavior_demonstrated_in_an_optical_system/stats
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