Purpose
AstroBiota is an independent research initiative exploring how systems remember, recover, and transform under physical limits — across biology, machines, and value systems.
Many modern failures share the same structure: optimization without memory, scale without recovery, and control without constraint. Biological systems do not work that way. They carry history. They integrate stress. They stabilize through time, not reset.
AstroBiota exists to study and prototype systems where memory, limits, and recovery are intrinsic — not added later as policy, alarms, or cosmetic safeguards.
Research Pillars
Current work is organized into three connected lines of research:
1) Physical accountability via metabolic hysteresis
We explore biophysical “governor” systems that accumulate cost over time and recover only through slow physical processes — producing accountability signals that software cannot trivially reset or game.
- Redox recovery as a measurable constraint signal
- Hysteresis and fatigue as long-horizon memory
- Accountability as a physical primitive, not a policy layer
2) An archive of reference artifacts for intelligence
We build and preserve artifacts that ground claims about intelligence in physics and thermodynamics — using real systems that exhibit state, memory, irreversibility, and constraint.
- Intelligence framed as state propagation under limits
- Artifacts as reference models, not metaphors
- Non-anthropocentric framing for future intelligence debates
3) Regenerative production and conservation-first value
We develop surface-area–scaled biological systems designed for continuous operation and harvest, where conservation is a prerequisite for production rather than an external cost.
- Biofilm reactors that scale by surface, not volume
- Continuous harvest models that prioritize regeneration
- Economic models compatible with long-term stability
What AstroBiota is (and isn’t)
AstroBiota is research-led, artifact-driven, and intentionally upstream. Some outcomes may become products; others may remain purely foundational. The purpose is stable even as the projects evolve.
If you’re interested in following the work, start with the Research notes or browse the Archive. If you’d like to support this work directly, Support helps keep it independent.