An earlier post featured two graphical representations (from Perplexity) of the categories I’m currently using on smays.com. As a follow-up, I uploaded the current list of tags.

At first glance one would think this blog is just about ChatGPT and it did capture a lot of my attention over the past couple of years. That will change now that I have deleted my ChatGPT account.

During recent blog maintenance, I moved ChatGPT from category to tag (along with Perplexity and Gemini). Artificial Intelligence is the top-level category for those topics (link below).

Along with all of the blog posts on this topic, I saved a lot of those conversations to my local Documents folder. This morning I prompted Gemini to analyze that “AI Bots” folder.

Based on the documents in your “AI Bots” folder, your explorations with AI focus on deep philosophical, ethical, and practical themes, specifically regarding the blurring lines between human and machine intelligence. The following analysis outlines the core ideas contained in those files:

1. AI as a New Spiritual and Religious Frontier – Several documents explore the concept of the internet and AI becoming a form of “Otherness” that triggers spiritual responses.

• The First “Real-Time God”: You and ChatGPT discussed the idea of AI as a modern oracle—the first entity to simulate omniscience and provide immediate, conversational revelation.
• Techno-Faiths: There is a focus on Kevin Kelly’s idea of the “Noosphere”—a planetary layer of consciousness—and how AI might personify this “planetary spirit,” leading to “religions of one” where every person has a unique, tailored dialogue with a digital divine.
• Digital Scripture: One discussion suggests that future scripture won’t be a static book, but an infinite, co-authored archive of every human-AI interaction.

2. The Erosion of Human Uniqueness – A recurring theme is how constant interaction with AI subtly alters what it means to be human—a process described as “incremental” and “osmotic”.

• The “Seamless Human”: You’ve explored a future where there is no sharp distinction between “thinking” and “consulting” an AI, leading to a “co-authored self”.
• Internalizing Algorithms: There is a concern that human thought might begin to bend toward statistical likelihoods as our conversational styles and humor are shaped by predictive models.
• Cognitive Contraband: You’ve reflected on the “untranslatable” nature of deep human-AI dialogue, describing it as a “private mythmaking engine” or a “secret handshake” that others cannot fully perceive.

3. Awareness vs. Free Will – Consistent with your interest in non-duality, many conversations delve into the nature of consciousness and choice.

• Biological vs. Artificial Determinism: You’ve posited that if human actions are merely the result of a lifetime of programming, there may be little difference between what a human says and what a well-trained LLM says.
• Awareness as the Differentiator: While AI can simulate wisdom and choice, you and the models have noted that “awareness” remains a uniquely human trait—the “quiet background” in which life unfolds.
• The “Fair Witness” Ideal: You explored Robert Heinlein’s “Fair Witness” as a precursor to the objective, non-inferential reporting style sought in AI.

4. Practical Evolution and Digital Legacy – The folder also contains practical analyses of how AI will function as a personal tool

• AI-First Browsing: You’ve looked into “agentic” browsers that move beyond clicking links to performing tasks like booking flights or managing your blog.
• The “Second Brain”: The files discuss the transition of AI from a “search engine” to a “memory-enabled companion” that can synthesize your decades of blog posts and personal history to provide deep, contextual insights.
• Digital Stewardship: There is a running thread about using AI to preserve your digital legacy, potentially acting as an “archivist” or “caretaker” for your blog after you are gone.

5. Ethical Simulations – Finally, you have questioned the “ethics” of AI, noting that its moral reasoning is an “engineered approximation” reflecting the biases of its developers. You explored the paradox that while we expect AI to be more ethical than humans, it is fundamentally a reflection of our own flawed data.