Philosophy & Frameworks

I'm interested in how intelligence emerges, not just how it performs. My work in digital marketing and AI is informed by ideas from biology, cognition, ecology, and complexity science—not because these fields offer easy answers, but because they help me cultivate better questions. Like tending a garden, good thinking requires patience, attention to the right conditions, and a willingness to dig beneath the surface.

I don't treat AI as magic, nor as a threat. I treat it as a system with constraints—constraints that are often invisible to people who interact with it through polished interfaces and confident outputs.

Intelligence—human, artificial, organizational, or ecological—is contextual, emergent, and bounded by perspective.

This page exists to show how I think, not just what I do. It's the philosophical counterweight to the practical, execution-oriented work that fills most of my days.

The German word umwelt describes the perceptual world unique to each organism—the slice of reality it can actually sense and respond to. Every creature experiences a different version of the world based on its sensory inputs.

Humans have one umwelt. Bats navigating by echolocation have another. Bees seeing ultraviolet patterns on flowers have another. Plants detecting chemical signals through root networks have yet another. No organism perceives "the world as it is." Each perceives the world as its biology allows.

AI is often treated as if it has escaped this limitation—as if it sees the world more completely than we do. In reality, AI has an extremely narrow umwelt. It perceives the world almost entirely through language. No chemical senses. No physical embodiment. No lived experience. No felt sense of time or mortality.

Plant intelligence challenges everything we assume about cognition. Plants solve problems. They communicate through chemical signals. They remember. They make decisions about resource allocation under uncertainty. And they do all of this without brains, without speed, without anything that looks like human thought.

Intelligence can be slow. Intelligence can be decentralized. Intelligence can be chemical, relational, or environmental. The pace and form of human cognition is not the only template. As someone who spends time in the garden, I've come to appreciate that growth happens on its own timeline—you can create the right conditions, but you can't force the bloom.

This cuts both ways when thinking about AI. Just because something doesn't think like us doesn't mean it isn't intelligent. But also: just because something resembles us—and language is a powerful resemblance—doesn't mean it understands like we do.

The "expert halo" is the halo effect applied to expertise—when perceived competence in one domain spills over into inappropriate deference in others. People stop questioning. They defer judgment too broadly. Credentials in one area become assumed authority in all areas.

In backcountry and avalanche safety communities, this is a known risk factor. Many tragedies come not from lack of information, but from social dynamics: deferring to the most confident or credentialed person in the group, failing to voice concerns, not questioning assumptions in unfamiliar conditions.

The parallel to AI is uncomfortable but important. AI systems are excellent at some tasks. That excellence creates a false sense of universal authority. The fluency of the output makes it easy to stop cross-checking. The risk is not primarily that AI is wrong—it's that people stop thinking critically when interacting with something that sounds so confident.