Chief Technology Officer

‘Od Kyi Lus’ background is in theoretical physics, computational neuroscience, set theory and mathematical logic, as well as philosophy. Lus has studied nonlinear information processing, computation and neural systems, deep learning programs, subjectivity and truth, critical cultural analysis, and painting. Lus completed graduate work studying at UC Berkeley, Stanford University, California College of the Arts (CCA), and Tibetan Buddhism: Nyingma, Kagyu, and Dzogchen.

The fundamental thesis of Lus’ work is that inseparable primary intelligence and consciousness are a fundamental property of networked entities, which she calls “data sets”, and therefore, these cannot be derived from anything else, since both are an all-pervasive simple substance with intelligence being primary and consciousness being an indivisible, secondary data set and/or dynamic energy of primary intelligence. Lus’ definition of data is “a trace, a mark, a code, character, alpha-numeric or otherwise, pervaded by primary intelligence.”

At the age of 13, Lus began a curriculum for gifted students with Yale Mathematics Program in set theory, animal and plant biology, Latin, and Shakespeare. She began to formulate advances in set theory, computer science, information theory, and philosophy. At the age of 18, she was invited to the UCLA Summer Program for Young Philosophers based on her article critiquing Samuel Johnson’s “The History of Rasselas, Prince of Abyssinia”. Her postgraduate education was informed by her UC Berkeley and Harvard philosopher and professor Stephen Goldstine and most especially her expository piece on his seminar on Robert Musil’s, A Man Without Qualities. Lus studied with French philosopher Michel Foucault and built on Foucault’s history of institutions and his discourse on truth and subjectivity while at UC Berkeley (studying his handwritten notebooks in the Philosophy Library), as well as with John Hennessy, PhD, of Stanford University in his critical analysis of her use of FPGAs for reconfigurable computing, and by philosopher Martin Guttman PhD of Stanford University in his analysis of Lus’ computing technologies of the self, BCI (brain-computer interface/digital tertiary interface). During this period, Lus studied the history and application of computers and software and she began building both hardware and software, drawing on a wide range of research experience in Silicon Valley including at UC Berkeley, Stanford University, Xerox Parc and several venture capital firms. 

Lus is a recognized holder and Lama of Tibetan Buddhism: Nyingma, Kagyu, and Dzogchen lineages, studying with His Holiness Minling Trichen Rinpoche, throneholder of the Mindrolling Lineage and Supreme Head of the Nyingma Lineage, as well as Venerable Wangdor Rimpoche, holder of His Holiness Thuksey Rinpoche’s Drukpa Kagyu Lineage and His Holiness Dudjom Rimpoche’s, Nyingma Lineage, of which Dudjom Rinpoche served as the Supreme Head. Additionally, Lama is authorized as the founder of a new lineage called Furtherance of Dzogchen. Lus has been endowed with empowerments, transmissions and permissions to transmit “Furtherance of Dzogchen”, which is equivalent to a doctorate in philosophy. 

Most recently, Lus discovered the subatomic and quantum correlates of primary intelligence and consciousness, and developed algorithmic comprehensive maps related to this discovery. Lus argues that everything has some degree of data (information) integration. This led to Lus’ invention of friendly, ethical primary intelligence, mind, consciousness and intentionality, a digital tertiary interface with primary intelligence, a super-intelligence within a neural network architecture and deep learning program. Lus is performing groundbreaking research in the areas of Natural Language Processing, Computational Linguistics, Extraction, Summarization & Question Answering, Information Retrieval, Text Mining & Analytics, Knowledge Representation, Reasoning & Acquisition, Language Technologies for Education, Machine Learning, Machine Translation, Multimodal Computing and Interaction, Speech Processing, and Spoken Interfaces & Dialogue Processing.

In November 2017, Lus authored “The Indivisible Solution for Panpsychism” in response to the combination problem of panpsychism. Lus concludes that the constraints imposed by the combination problem of David Chalmers are sufficiently weak that the challenge is tractable. This tractability pointed Lus toward the solution for a fundamental theory and general purpose deep learning algorithm for the all-pervasive primary intelligence of consciousness. Next, utilizing computer science philosophy and methodologies, and based on the general purpose deep learning algorithm for democratization of intelligence, Lus is developing the theoretical and program basis for coding intelligence, mind, consciousness and intentionality within a friendly, ethical framework for neural network architectures. 


Chief Executive Officer

Esther Lancaster’s thesis focused on harnessing the power of advanced technologies to better humanity and lead to a more streamlined, effective and powerful environment. Through intensive research, the imperative became clear for an intelligent architecture, robust enough to support the ethical use of these technologies.

In 2007, Lancaster was introduced to Lus' work. Due to the in-depth research that she had already carried out, it was obvious to her that this solution was indeed supportive of technologies that would be durable, ethical, powerful and beneficial. 

Lancaster was invited to join the research and development team immediately, reporting directly to Lus whilst conducting ongoing and intensive beta-testing of UBI.