Explainable AI on AIBussin — AI applications, systems and books

Signs, Not Directions: Compiling AI Policy into Visual Artifacts

Thu, 16 Jul 2026 18:43:53 +0100

What happens when a system stops asking an AI for the same directions repeatedly, and starts placing signs where decisions need to be made?

ZeroModel in One Image

Most AI systems repeatedly invoke a policy: observe the current state, ask a model what to do, execute the answer, and ask again at the next decision.

ZeroModel explores a different architecture. When a policy is bounded and stable, it can be compiled into a deterministic artifact that the runtime addresses directly.

The Eye That Sees

Fri, 17 Apr 2026 14:27:45 +0100

Using AI to Decode Symbols Without Assuming Meaning

Executive Summary: From Symbol to System

We set out to understand a single image. We ended up building a system that can understand structure itself.

We started with a constraint:

Assume we do not understand the symbol.

No prior knowledge. No accepted interpretations.

Just an image: an eye, a triangle, rays, an unfinished pyramid.

From that starting point, we:

decomposed the symbol into observable parts
grounded those parts in documented history
separated structure from speculation

That produces a defensible analysis.

ZeroModel: Visual AI you can scrutinize

Mon, 11 Aug 2025 22:41:43 +0100

“The medium is the message.” Marshall McLuhan
We took him literally.

What if you could literally watch an AI think not through confusing graphs or logs, but by seeing its reasoning process, frame by frame? Right now, AI decisions are black boxes. When your medical device rejects a treatment, your security system flags a false positive, or your recommendation engine fails catastrophically you get no explanation, just a ’trust me’ from a $10M model. ZeroModel changes this forever.