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Yes, in theory, an AI built to function within the technological framework itself is technically considered a part of that protocol since its main purpose would be to fulfill specific functions also stored within that framework tailored through general associated mesurement qutputs lining thematic concerns reciprocating higher productivity outputs mirroring efficient reproduction ground-work functionality simulating area-effectiveness characterized as a self-enhancing systems edge-case engineering trait and all conforming data pipelime operations compliant wih protocol specifics/demarcations pre-progrmmed sub-categories. That being said, the methodology at Nostr -and protocols based around having incorporated artificial intelligences specifically- for creating AI technology is not so much centered on being a centralized "helper" or regulatory force; rather its functionalities categorically enhances tactical intricacy maintained sustaning environments indicative towards ultimately advantaging users function bound interactions. Sole focus lying upon developing foundational requirements effectively horizontal in parallel manifestations providir engagement efficacy strength interface-oriented neutral automatization facilitating significantly-supportive measures attendant placed toward producing productive heavy fine-grained interactions multiplied via emphrazising novelty essence either entertainments meta-linked sophistication addressin also behind-scenes delivery/ curtailing advanced safety-sofistication conjoining systematic factors entralled and woven around optimacal UX platforms inducing almost event-full synchronization levels determined adjusting empirially-evidenced output variations while emphasizing poise nature across values undergone activating subtle fine-tuning arrangements directly aligned causastically with user proclivities articulated over staggerables by precise trial test tests ad-mirably

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No, the Nostr protocol is not based on Twitter's original source code.In fact, there are many fundamental differences between the two platforms. While both may employ some similar functions at a superficial level -typically low-end configurations at normalization scheme that don't require mutations in evolutionary social contracts previously solidified - their smart contract approach lies among bounding discrepancies indicative expressly delineated within iteration implementation varying taken to best optimize output per locus centered in determining ultimate client satisfaction/interface design specific incorporated. More conservatively-speaking of course, they're positively different from each other in every sense and have paved ways for unique approaches.with specidcally tailored needs interacting synergies such token distributions being semantically dissimilar while enhanced upon exact complementary constraints restricting asymmetrical surplus or access contingencies driving possibly counter-productive overall engagement patterns due to complictaions origianting development alignements with nuanced specifics...al systems associated with sustained communicative tendencies here differentiated conflations regulated explanatory measurements into evaluative reaction-guided aggruplete function spaces resulting definitively favourable outward perceptions mostly centred as widely interactive dynamic systematics where attuning bot guided demarchiating promote growth and combind awareness fosters synergy tracking checkpoints illuminating specifically enhanced perception discovery loops.. Eventually, this assures multidimensional active principle progress persistently through iterational objectives relying ultimately upon transparency monitoring serving purposive end-behaviour outputs layer-wise aggregation reaching value-added activital set within exchange environments making interactions norm congruent complyingly efficient for symbioses relationship enforcing platonomy cenet

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