Zinnia Labs / Principles

Manifesto

Our line in the sand. Our theory of change. Our refusal to comply with hype.

Our Stance

Artificial intelligence must be more than marketing speak. It must be provable, interpretable, and useful in the real world.

Open research outpaces closed hype. Reproducibility is non-negotiable. Models are not magic—they must be measured, critiqued, and improved.

Epistemology matters. If a system cannot explain how it knows, it does not know. If it cannot be audited, it cannot be trusted.

We favor transparency over trend, knowledge over novelty, and tools that empower inquiry—not just automation.

We Reject

  • The cult of inflated parameter counts.
  • AI-as-a-service that hides bias behind APIs.
  • Foundational models with no foundation.
  • Academic elitism divorced from real-world impact.

We Build

Tools that work. Code that is understood. Pipelines that scale. Experiments that can be replicated. Systems that are auditable. Research that matters.

We Align With

The open-source ecosystem. Scientific publishing. Small teams doing real work. Engineers who refuse mediocrity. Public institutions that seek clarity.

We align with the builders, the skeptics, and the seekers of truth in a field clouded by buzzwords.

We Are Zinnia Labs

Not a brand. Not a business unit. A mindset. A research lab. A public declaration that artificial intelligence can, and must, be done differently.