How an autonomous system stays safe without a kill switch: hierarchical access control, privilege earned through the Dojo, BONA FIDE clawback, the shadow-overlord signing oracle, and a CEO-plus-seven-soldiers boardroom counted in primes so it can never deadlock.

Epoch Count: Navigating the Training Iterations The Elusive “Optimal” Settings and the Empirical Nature of Tuning It is paramount to realize that there are no universally “optimal” hyperparameter values applicable across all scenarios. The “best” settings are inherently dataset-dependent, task-dependent, and even model-dependent. Finding optimal hyperparameters is fundamentally an empirical search process. It involves: finetunegem_agent is designed to facilitate this experimentation by providing command-line control over these key hyperparameters, making it easier to explore different […]

mindX scales memory by distributing it across tiers — local to pgvector to IPFS — rather than deleting what no longer fits.