Blog
26 articles
ai-research
Consciousness Across Substrates: From Animals to Plants to Machines
If consciousness can arise in bird brains, octopus arms, and possibly insect central complexes, what principled reason exists to exclude artificial systems? The evidence is more complex than you think.
ai-research
Neural Correlates of Consciousness: Where the Brain Meets the Mind
From the posterior hot zone to the thalamic conductor, neuroscience is mapping where consciousness lives in the brain. But can we measure it -- and what does it mean for AI?
ai-research
The Hard Problem of Consciousness: Why Subjective Experience Resists Explanation
After three decades of debate, the question of why physical processes produce subjective experience remains genuinely open. A deep dive into the problem that defines consciousness research.
seo-ai-search
The Visibility Squeeze: How AI Search Is Rewriting Local Business Competition
Only 1.2% of local businesses get recommended by ChatGPT -- a 30x gap from Google's local 3-pack. The shift from ranking to qualifying as the AI's answer is already here.
seo-ai-search
The Entity Truth Layer: Why AI Gets Your Business Wrong and What Actually Fixes It
AI systems don't build entity understanding the way search engines build indexes. They absorb scattered, often contradictory data and resolve ambiguity through popularity bias. The result: 75% of AI projects get the wrong answer because AI can't reliably distinguish one entity from another. Here's a new framework for what actually fixes it.
seo-ai-search
The Discovery Paradox: What AI Search Is Doing to Human Wayfinding
AI-mediated search creates a paradox that no one has fully articulated: it simultaneously makes information discovery more efficient and more constrained. The efficiency is measurable. The constraint is invisible. And the skill atrophy means humans can't fall back to manual foraging when the AI fails.
ai-research
Making the Invisible Testable: Six Falsifiable Predictions for Relational Consciousness
A framework without testable predictions is philosophy of the armchair variety. Building on the Agentive-Relational Synthesis, this paper develops six falsifiable predictions and a novel testing methodology — Relational Neurophenomenology for AI — that addresses a structural blind spot in how we currently test for consciousness.