VPM 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 Nexus Blossom: How AI Thoughts Turn into Habits

Wed, 19 Nov 2025 23:23:16 +0100

We turn any text into scorables, grow them into blossoms, and weave them into a living graph. Then we A/B test the graph’s thinking quality.

The Space Between Models Has Holes: Mapping the AI Gap

Wed, 22 Oct 2025 20:30:36 +0100

🌌 Summary

What if the most valuable insights in AI evaluation aren’t in model agreements, but in systematic disagreements?

This post reveals that the “gap” between large and small reasoning models contains structured, measurable intelligence about how different architectures reason. We demonstrate how to transform model disagreements from a problem into a solution, using the space between models to make tiny networks behave more like their heavyweight counterparts.

We start by assembling a high-quality corpus (10k–50k conversation turns), score it with a local LLM to create targets, and train both HRM and Tiny models under identical conditions. Then we run fresh documents through both models, collecting not just final scores but rich auxiliary signals (uncertainty, consistency, OOD detection, etc.) and visualize what these signals reveal.

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.