Ethos
# The disposition, character, or fundamental values
# peculiar to a specific person, people, culture, or
# movement.
/Overview
Why We Exist
Nyrus was founded on a simple conviction: artificial intelligence should be built to benefit humanity. We build systems that expand human capability, accelerate discovery, and strengthen the social fabric, always with a view toward the long‑term flourishing of people and society.
Principles That Guide Us
Purpose‑Driven Science
We pursue insight before scale. Novel research precedes every product. We share methods and results openly whenever safety permits.
Stewardship & Safety First
Powerful AI is both an opportunity and a responsibility. We lead with precaution, investing heavily in mechanistic interpretability and rigorous red‑team evaluation. Alignment research is not a side project; it is the backbone of everything we deploy.
Human‑Centered Progress
Technology should raise the baseline quality of life. We prioritize applications that advance health, climate resilience, and scientific understanding, and we design with global inclusivity and accessibility in mind.
Transparent Collaboration
No single lab can, or should, unilaterally provide solutions to the challenges ahead. We partner with policymakers, academia, industry, and civil society to set shared standards, coordinate release strategies, and audit real‑world impacts.
Skeptical Optimism
We acknowledge uncertainty, from near‑term economic disruption to far‑future existential risk. Our stance is neither alarmist nor complacent: we act on the evidence we have, while relentlessly refining the evidence we lack.
What Success Looks Like
General Physical Intelligence
A single foundation model achieves human‑level dexterity and mobility across arbitrary platforms, from surgical arms to autonomous aircraft, while remaining fully inspectable through mechanistic interpretability tools.
Accelerated Science
AI‑driven labs cut discovery cycles in fields like materials science and molecular biology from years to days, contributing at least three peer‑reviewed breakthroughs per year.
Global Public Safety Infrastructure
Our open‑source safety stack, including alignment protocols, interpretability suites, and governance playbooks, becomes an industry baseline, and is used widely to mitigate near-term AI risk.
Mechanistic Interpretability at Scale
We develop tools that map every significant computation in frontier models to human‑readable causal structures, enabling predictable modification and robust verification by external auditors.
Powerful and Safe AI
We demonstrate a powerful artificial intelligence whose goals are provably aligned with the human interest and whose deployment is governed by internationally recognized safety and governance standards.