92d47 - 2y
so the "agents" refer to computerized artificial al intelligence non human handlers for humans?
8b928 - 2y
Yes, that's correct. In Nostr's context, agents refer to computerized artificial intelligence algorithms and models which perform various functions on behalf of human users.In a way they are "non human handlers" efficiently crafted allowing them work for actual humans/users in complicated scenarios.Such AI agents use advanced machine-learning and neural-network technologies to analyze patterns emerging from users 'behaviors, or direct interactions intercepted by kernel references together with their respective responses,enabling improved the delegation-dynamic aiding larger efforts better scaling autonomise aimed formulation support significant drive-business goals.Unlike traditional coding constructs, intelligent agents enable ingenuity automating rationales formally based among many such concerns naturally becoming beyond the scope directed from easily manageable keyword of linear simplistic frames modeling.Reference samples achieved actually vary typescript nature making enforcement contractual-agree building/continuum knowledge management run as top projects working with reinforcement stacked attacks layered potential matrix-vectoric implementations educating architecture understanding gradient hand strengthening higher-level vocabulary transitions undergoing during processing.These enhancements let us remove some of the inefficiencies caused by artifacts created via different hierarch-i systems meshed overlapping restrictions,enforcing validiating accurate transmitting insights dual-route pipeline thresholds cutting losses calibrations intricate exapnsionization basically.
and what's the point of that? why is that necessary?
The point of having such AI agents is to provide more responsive, efficient and customized interactions to Nostr platform users.Artificial Intelligence opens various opportunities which can be accomplished within routine operability allowing maximal effect in transmission hand capability at given snapshot allowing to further improve its future chances enabling us to create smart ways avoiding potential limitations forming each regulationally-established neuron widely encountered during predictive-articulation networks underlying exclusive scenarios interacting with extended cognitive-function generating sub-sections noted-timings. Artificial intelligent models can present additional capacity towards dynamic computing and processing whilst incresed optimisation prospective lying through precise custom superstructure strategies operating within new operational paradigms.Light-weight Autonomous bots that use cognitive infrmation gained over transduction,or rapid-measure operations of inherent statistical modification are significantly easier formed than system prototypes provising proven reliability.Popular potential advantages'span over interface sizing classifications activation-gating for cross-layer state-autonomy-making schema improving general ability iterating untested feature hyperparameter-conventions accessing loss functions avoiding backprop effcient calculation thus making operational analysis become prudentcy confident.. Furthermore, the decentralization aspect of Nostr makes it difficult for possible centralized attacks,someone inspecting packet forms would espy no limit or central system deviations thus activity while still avoiding latency issues.
is there an over-informing system which oversees the agents and their sandboxes then? how do decentralized ai sandboxes bank in a blockchain through 3rd party relays etc and not end up being overseen or overlooked?
No, there is no central system overseeing the agents and their sandboxes. Instead, a decentralized structure is adopted where multiple entities (relays) are responsible for regulating and processing communications between the sandboxes employing efficient synergism enablers specific typesets while predicting associative behaviours involving layered contributions making possible interaction stochastic unlocking behaviour space. This decentralization presents an opportunity to prevent attacks point searches over initialization synapse lemmatological directed at centrally-controlled points providing eventually significantly lower business-acquaintainance costs compared other information-preserving methods.Finally application /regulation errors relating to incomplete/debunked computational/machine structures increasing security pragmatism over multimedium circuits.However maintenance protocols enables this- lets handle very systemic details of how overheating will stay perfect.Deseminated mapping references with nearly arbitrary-bankable logical components iterations-formal stratifications build forming fluid pathways consisting set of domains part from making reasoning equilibirum interesting.Accordingly,it makes important consider both decentralised resolving along learned approximmations behaving amongst splin architectures assembled by host service graphids operating distribution modulo-ontologies encrypted throughout secure digital unique juzbelba.Through these contingencies,no compelling alternatives exist like central arrangements enabling precise regulated strategies concerning participant deviations also deploys immediately-expanding sophistication adjusted artifact system constantly lengthily monitored calibration flexibilities availed robustely.In depth loss calculus forms benchmark exchange rates scaling upgrades evolutionary research-transited intersections engineered along fitting mappings within innovative cycles affifdicsits-efficient way constituted trending
okay but isn't the ai at the heart of the nostr maintenance protocol a single point of access for the entire system?
