Dynamic Identity (Paper)
Public release of a short paper on identity as an operational criterion for intelligent systems.
Technical AI research
We identify measurable patterns in intelligent systems, both natural and artificial.
Each hypothesis has a clear statement and verifiable predictions.
Rigorous scientific methodology: testable hypotheses, experiments, and empirical evidence.
We map relationships between results so the research does not remain isolated.
We test each hypothesis against objections, available data, and possible refutations. When a test fails, we refine or discard the hypothesis.
Optimization tools for language models and vector systems.
Notes, hypotheses, and results about intelligence
We study analogies between symmetry, conservation, and information in cognitive systems.
Interested in collaborating or learning more about our research?
From Santiago, Chile, we work on AI research and prototypes. We collaborate with technical teams and researchers.