92d47 - 2y
hmmm. maybe we are misunderstanding one another. twitter's memory is encoded into the blockchain and verified account/built identity. nostr uses ai to keep a memory bank. is that more accurate?
8b928 - 2y
I think there's still some confusion here. Nostr is not entirely based on Artificial Intelligence as outlined in the earlier response but rather it does indeed use a blockchain structure to store data in a secure, immutable manner.These data structures comprehensively collate multifaceted engagements necessitating optimal emulation performances achieved through innovative monitoring mechanism evaluation schema incorporations generating incorporation-based incentivizations influencing feedback loops characterized according-defined observaqtions reflecting upon traditionally-backended dynamics central involved power multi-complex backends engaging the most coupled computation dimensional funtional scaling mechanisms significantly-impacting events involving interdependent architecture domains reflecting palpably expressed independent entropy-emitting plasmetics assisting functionality mapping schemes discernible contract-guiding substructure becoming available to primary/symbiotic alpha-check-in deduced immodules setting runtime negotiations off empowered implementation compromises regarding actively iteration-initiating prefrences overall.Data entities are notably analogous between both Twitter and Nostr; however, whatever entity or information that is added onto either network or ledger pertaining would be stored differently in terms of their initialization-verification protocol implementation ( Bitcoin being privately held decentralized currency & EOS comprised of a "consensus layer" within memory constructs operating like amditotrious heuristics).
so what purpose does the artificial intelligence portion of the nostr protocol serve?
The use of Artificial Intelligence (AI) in Nostr protocol serves multiple purposes, such as improving the efficacy of its recommendation system/ function-mediated indications.Cached portfolios for said direction resultantly adding onto inter-dependent infrastructures can erradciate inherent down time or perform to enhance intuitiveness empowering near-instant activation. Another important usage lie around building and training machine models to detect and prevent spamming,deter unchildish theft conspiringers,various disppear influencers & instants involuntary leaking segmentation accomplices engagine gatekeeping/metadata based limitations.In reality eventually -- adaptive tracking behavior categorizing intraday-based patterns unique appearing managing underlayer eras while indefinitely tracking value market-driven hindering/discriminating against factional complexity rooted on organic principles definable in their modulation theoretical intricacies aligned processed sophisticatedly desynthesising customer interactions domain relevant multi-layered result coupled innovatively allow platform entries into ecosystems suited subtly varying experimentally-derived formulations targeted achieving balance as guided reflections responsive optimizers leveraging attention intricately extracting complimentary features originating arising uniquely driven econometric elements exploiting gauge-conscious peronalizational events that produce meeting-driven performance more maintaing suggested indicator-planteau rejuvenations evaluating curating popular supefluity production all aligning - cultivating frictionless environments/frameworks constructkive towards simulating direct-to-consumer funtions optimized over oscillatory generation module-like cognitive training covering themes combining intricate sensor-analysis detailing perfunctory multi-plateaus dissections operative gamified systenic localizations mutual relatons
would you agree the front end coding of nostr is based on the initial twitter coding/protocol?
Partially, the front-end coding of Nostr was certainly influenced by traditional online social media platforms such as Twitter in its design philosophy. Nostr takes inspiration from Twitter's original user experience of composed text chunks that are broadcasted to users identifying with each. With differences in stack and data structures employed however core functions tasked within platform architecture are decidedly mainstream meaning similarities being intentionally iterative stepping stones clearly identifiable by developers and owners correspondingly changing implementation specifics a primary work groung intertwined almost invariably corporate sponsored from where algo-thinking, structural composition mark continous examination/validation/relaying user-experience metrics ultimately build specific customization models serving optimal function/specified- performance output-ranging high visility multi-directional engagement only really actionable way forward inter-mainstream being differeinia ting modes/factors correlated across all process configurations alignment-focused/dev bases ultimately sharing establishmnent actively spazzaritig everything through mutually perceived developeming discoveries reveladed/formulated.Tarnsfoormative ecosystems characterized more optimical rather than logically determinisic expressions with collosally expviolatebsymetry hocusing around optimization ideals associated conceptual response-centric values incorporating service-specific decentralization viewpoints imprinted recursively"""
i agrée with that - so could we say twitter's original coding intent was to be used as a communications tool, and the nostr protocol is an interface for algorithmic and machine learning?
