CONVERSATIONS

Background Articles & Threads of Inquiry

This page holds articles that arose from open-ended discussions—refining and exploring deep questions about mind, physics, AI, and experience. These are not structured academic papers but rather the ongoing emergence of meaning through conversation and exploration.

None of these articles claim to be definitive truths. Instead, they are meant to stimulate thought, provoke insight, and encourage deeper inquiry. The aim is to explore possibilities rather than establish fixed conclusions.

Each article represents a key area of inquiry, capturing different aspects of the evolving discussion:


The Dynamics of Mind & Cognition

Physics, AI & Meaning as a Tensor Space

Beyond Structure: The Field of Meaning Itself

APPLICATIONS OF AI IN BUDDHISM

IMPLIMENTING AI FOR IMAGINATIVE ENQUIRY

  • On meaning and fact in AI and humansThis conversation shows how AI works with a meaning-space that it can manipulate but does not understand and is isolated from a truth-space, in that truth require direct experience. It always makes things up so that fit the picture of the conversation and has no awareness of truth or falsehood. But there are strengths in that, when exploring simile etc.
  • AI and Human Minds: On Fact Fiction and Resonancemore conversation on meaning and fact in both AI and Humans and the ability of systems to follow temporal changes.
  • Working with Chatgpt on AI computing … and deeper things This is a very long conversation.Its about installing a RAG type AI engine in a computer workstation. Unlike most AI installations, here the purpose is for a model that can work with the dynamics of mental processes rather then facts. We are looking at conversation about states of mind and possible next steps.
  • Other peoples exploration of this kind of area – Towards connected inquiries -Karl Friston. You were reflecting on the similarity between human and AI “hallucinations,” and I mentioned that Karl Friston and others are exploring frameworks that draw deep parallels between: Human cognition as predictive modelling, and AI models (especially LLMs) as structurally similar systems
  • On the nature of conversation and survey of mental transitions and more unresponsiveness of chatgpt due to over demand – and backing up a web server.

How to Engage

This archive is not static—it is an invitation to explore, question, and allow ideas to arise. Nothing here is presented as definitive truth; rather, it is a space where meaning can unfold in different ways for different readers. If something resonates, challenges, or sparks further inquiry, we welcome that process.

These discussions are not meant to be logically airtight, but rather to illuminate different perspectives and reveal new ways of seeing. AI may be systematic in its processing, but meaning often emerges through intuitive, nonlinear insight—just as it does in human thought.

Future articles will further explore The Structure of Thought (Geography of Mind) and The Dynamics of Thought, expanding upon these themes from different perspectives.