The research problem addressed by Scala Ponderum Custodita is how to transform modern AI systems from persuasive conversational interfaces into reliable producers of extended work. The practical trigger is a class of requests that cannot be completed in one inference: multiple repositories must be inspected,several plans compared,tools invoked,artifacts produced, testsexecuted, failures repaired, and a coherent delivery assembled. Existing work on agents, distributed systems, model families, and reproducible research provides important pieces, yet those pieces do not automatically form a recoverable production system. The architecture proposed here therefore treats task state, authority, evidence, and deliverables as first-class objects. This paper is grounded in the systems developed during the Corpus program. The paper maps to the AURO checkpoint inventory v3, constitutional checkpoint substrate, release-readiness scorer, promotion gate, and the staged release planner in PR #99. Those tools harden evidence and plan ning; they do not themselves create new weights. The resulting design is both narrower and more demanding than a general claim of autonomy. It asks whether a defined workload can be completed under explicit budgets and policies, whether the deliverables survive independent validation, and whether the system can explain its recovery behavior after interruption or contradiction.
Alfredo Medina Hernandez, MedinaTech· Zenodo (CERN European Organi...· 0 citations
The research problem addressed by Scala Ponderum Custodita is how to transform modern AI systems from persuasive conversational interfaces into reliable producers of extended work. The practical trigger is a class of requests that cannot be completed in one inference: multiple repositories must be inspected,several plans compared,tools invoked,artifacts produced, testsexecuted, failures repaired, and a coherent delivery assembled. Existing work on agents, distributed systems, model families, and reproducible research provides important pieces, yet those pieces do not automatically form a recoverable production system. The architecture proposed here therefore treats task state, authority, evidence, and deliverables as first-class objects. This paper is grounded in the systems developed during the Corpus program. The paper maps to the AURO checkpoint inventory v3, constitutional checkpoint substrate, release-readiness scorer, promotion gate, and the staged release planner in PR #99. Those tools harden evidence and plan ning; they do not themselves create new weights. The resulting design is both narrower and more demanding than a general claim of autonomy. It asks whether a defined workload can be completed under explicit budgets and policies, whether the deliverables survive independent validation, and whether the system can explain its recovery behavior after interruption or contradiction.
Alfredo Medina Hernandez, MedinaTech· Zenodo (CERN European Organi...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
