Panta Rhei[1]
A collection of useful insights (with hope).
Who This Site Is For
This site is for thinkers, technologists, and decision-makers who want to understand Generative AI more deeply. Whether you're an executive navigating AI strategy, a researcher exploring LLMs, or simply curious about how language and meaning shape our machines, you'll find tools and perspectives here that combine philosophical clarity, cognitive insight, and real-world governance. This isn’t just about what AI does—it's about how we think with it.
Start Here
- New to this perspective? Start with the Four Philosophers Framework™ to explore how Wittgenstein, Lewis, Dennett, and Nagel help us understand AI.
- Want a practical tool? Download the CONTEXT Prompting Framework for a tested and structured way to get better results from AI.
- Prefer interaction? Try the chatbots: Four Philosophers Chatbot or CONTEXT Chatbot.
Ephemera
Exploratory papers to stretch your thinking. These pieces build bridges between classic philosophy, cognitive science, and AI policy.
Suggested path: Philosophy, Cognitive Science, and Policy → The Human Lesson → The Question Concerning Learning.
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Philosophy, Cognitive Science, and Policy Start here
A Four-Philosophers Framework for Understanding Generative AI
This conceptual lens draws on Wittgenstein, Lewis, Dennett, and Nagel to examine language, reasoning, intention, and consciousness in AI — a compact lens for meaning, norms, competence, and experience.
📄 Download Paper (PDF) (v1.23.5, updated )
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The Human Lesson Counterweight
A response to Sutton’s “Bitter Lesson” through Wittgenstein, Lewis, Dennett, and Nagel.
Why competence without comprehension strains explainability, responsibility, and civil trust.
📄 Download Paper (PDF) (v1.6.2, updated )
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Context Collapse and AI Guardrails
Ontological collapse, LLMs, and the Four Philosophers Framework.
Examines how treating chatbots “as if” they were interlocutors collapses the distinction between tools and persons, using Wittgenstein, Lewis, Dennett, and Nagel to diagnose this ontological collapse and to propose design and governance guardrails.
📄 Download Paper (PDF) (v1.4.2, updated )
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The Question Concerning Learning Deep dive
Babich, Heidegger, and the Enframing of Intelligence.
Prior question: what is learning? Babich/Heidegger on enframing and its implications for modern AI.
📄 Download Paper (PDF) (v1.0.1, updated )
Briefs & Whitepapers
For leaders and strategists. These memos help organizations align on AI roles, risks, and institutional readiness.
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Leading Through Alignment
📄 Download Brief (PDF) (v1.2.1, updated July, 2025)
A Framework for the Chief AI Officer
Designed for executives, board members, and tech strategists to define and institutionalize the CAIO role.
Tools
Turn insight into action. These frameworks are designed to help you prompt, teach, or govern AI more clearly and intentionally.
CONTEXT Chatbot Prompt Framework
A Structured Prompting Model Rooted in Philosophy and Practice
The CONTEXT Prompt Framework supports clarity, ethical alignment, and iterative refinement in human-AI interaction.
Grounded in best practices from design, education, governance, and communication, it helps users structure prompts for
high-quality, purpose-aligned AI outputs.
Unlike ad hoc prompting, CONTEXT now has empirical support: in a recent benchmark comparing CONTEXT to structured prompting
heuristics from OpenAI and Anthropic (HHH), CONTEXT outperformed both across three real-world tasks—in UX design, education,
and risk governance.
Whether you’re building chatbots, teaching AI literacy, or managing compliance-sensitive AI use, CONTEXT offers a practical,
tested structure for prompt design that reduces iteration and increases output quality.
Chatbots: Four Philosophers Chatbot · CONTEXT Chatbot
About
This site is a personal exploration of ideas. If you want to know more about my professional role, find me on LinkedIn.
Have a unique use case or experience with AI? I’d love to hear about it. Feel free to reach out and share for future inclusion.