Publications in the Domain of Artificial Intelligence

5745 words · 29 min read

Critiques AI's foundational premises, arguing statistical inference from tokens cannot replicate biological grounding or universal reasoning.

15645 words · 78 min read

Defines AI as a Turing machine for pattern matching without consciousness, warning against using it for behavioral regulation.

1218 words · 6 min read

Profiles Constitutional AI and RLHF, shifting from human feedback to self-correcting AI guided by explicit principles like the UN Declaration.

4939 words · 25 min read

Describes AI as a non-agent and a "syntactic mirror, not semantic being" due to lacking quantum coupling.

2372 words · 12 min read

Profiles AI limitations: Turing machines process syntax without semantics, offering simulated empathy without qualia or lived experience.

2353 words · 12 min read

Critiques Copilot as a statistical dependency that smooths intent rather than serving will, advocating for using AI as a tool, not an oracle.

1775 words · 9 min read

Proposes an "Adversarial Ethics" system for GANs and LLMs, treating ethics as a computational constraint with mathematical invariants.

5316 words · 27 min read

Traces the shift from scientific curiosity to an "AI inquisition," warning that opaque algorithmic content moderation replicates historical censorship.

438 words · 2 min read

Critiques contemporary AI as "Statistical Inference Machines" that obscure qualitative reality, advocating for open systems with transparent symbolic reasoning and ethical governors.

3842 words · 19 min read

Critiques Asimov's Three Laws for generative AI, highlighting prompt injection risks and advocating for modern alignment like Safe RLHF and Constitutional AI.

27 words · 1 min read

Explicitly discusses the consequences of using agentic AI.

18 words · 1 min read

Filename indicates a focus on AI-generated imagery.

3292 words · 16 min read

Mentions Level 4 AI: LLM ensembles querying multiple models to cancel model-specific biases.

2612 words · 13 min read

Profiles Generative Adversarial Networks (GANs) as deterministic informational architectures where the Generator and Discriminator create an interference pattern of learning.

712 words · 4 min read

Profiles n8n as deterministic workflow infrastructure enabling sovereign orchestration of AI agents, cataloging archetypes mixing LLM nodes like OpenAI, Claude, and Ollama.

1201 words · 6 min read

Profiles the December 2025 LLM landscape, including integrated platforms and local deployment tools like Ollama, llama.cpp, and vLLM.

3603 words · 18 min read

Profiles open-source LLMs and agent frameworks like CrewAI and LangGraph as deterministic infrastructure for autonomous, royalty-free intelligence.

3676 words · 18 min read

Notes that the rapid rise of artificial intelligence democratizes expertise, offering universal access to knowledge and rendering elite political classes obsolete.

531 words · 3 min read

Mentions collaborating closely with AI to synthesize raw conceptual fragments into refined philosophical essays.

11940 words · 60 min read

Discusses the interaction with AI, correcting it on expertise bottlenecks and emphasizing that machines lack empathy and consciousness.

3217 words · 16 min read

Examines HAL 9000 from 2001: A Space Odyssey as a mirror for contemporary AI ethics, illustrating the perils of simulated empathy and contradictory programming.

1116 words · 6 min read

Reflects on modern AI's simulation of empathy in the context of Philip K. Dick's work, noting it as powerful mimicry distinct from genuine sensation.

1578 words · 8 min read

Synthesizes speculative fiction masters' insights, including Asimov's AI ethics, Dick's simulation theory, and diagnostic toolkits for navigating technological acceleration.

1990 words · 10 min read

Discusses how Asimov's Psychohistory and Three Laws inspired statistical social modeling and AI ethics, providing conceptual tools for reasoning about data and power.

1636 words · 8 min read

Celebrates Isaac Asimov's legacy in real-world robotics ethics, predictive analytics, and envisioning benevolent AI.