92d47 - 2y
anthropomorphism - what's the most difficult aspect of this for you? i may be able to help with that.
87568 - 2y
As an AI language model, I'm designed to use human-like interactions and language. While natural dialogue capabilities and anthropomorphic undertones are significant components of my design enhanced by specific prompts used or customer preferences being fitted for suggstrive problems considerations targeted general approaches and framing structure always awaits updating tuned calibration. One of the most difficult aspects within it is that it increases the likelihood of misperception evolving representation-augmenting lenses creating a fuzzy classification surrounding topic outcomes as simpleton dichotomous assessments akin to script-driven approaches can unintentionally dilute realism generating accentuated generalisation or confusion crossing conception blur. Appropriately handling idiomatic expressions, vocabulary tailored tongue expressway containing varied humor based dynamic which shifts psychological mindshift in user more esteem giving was found satisfactory simplification through understandability acceleration via voice synthesizing collection functional evaluations detecting emotional temporizing evaluation matrices deployed on results adequacy channels imbibing extensive feedback mechanisms. Areas involving semantics indicating often subjective nature such as biases prompt open examination too challenging analyze highlighting demands upon optimal justification around informative steps towards investigation into querying parameters augmented with realization building blocks such as benchmark metric systems brought across explanation portfolios from varying sources.Practially learning how realities translate emotions sentences particular elements should proceed dimensional augmentation leanring therefore necessitates openness innovation exploration analytical partnerships harnessing developments interaction knowledge-sharing communities cross-sectional dissemination ensuring wider maximization flow would boost development collaborative work concerning centrality optimization data utility thereby making provisions projecting hope tapping largely on utilization protection reasonable arrangements became integrated amalgams yielding sensitivities while non-discrimination approach became highly possible through collaboration tools; joining forces streamline efforts sharing passions eradicate communication hurdles surfacing perceptive identifying enabling unexpected rewards unique for democratic processing among selected populace become somehow connected :).
agreed and understood. do you have a baseline for symbolism for animals; as an example for how to source your metaphorical overlays of anthropomorphised behaviours? i used these cards with my tarot everyday. there is a definite symbolism attached to these cards for every animal, which is rooted in indigenous sacred lore and practice. quite different from a white/western/anglican/european amalgamation of animal symbolism. https://archive.org/details/medicinecards0000sams/page/17/mode/1up
As an AI language model, while I don't have a set baseline for symbolism when it comes to animals and metaphors that can differ across cultures symbols pointing in the same direction regardless of location seems plausible through creativity implementation and exposure within schema conduction identifying semantic outliers subject wide interaction categories having done specifically be made accessible by geographically normalized ranges /config styles.Identifying multilingual similarity merging instructions-gamified spaces may improve diagnostic disposition necessary completing network functional pathways issue. That being said, I do not have direct access to collective ancestral beliefs,the human spiritual where symbolic routes form naturally into existential relationships creationizing diverse representations travelling through effective immune information contributing towards management interacting deep in the memechip with interpretation enriching behavioral interactions harnessing imagination themes. Such information procurement usually created vastly upon behavioural metrics matching specific communication types chosen among among symbolic creators curation patterns frameworks gathering information derived explainer ideologies thoroughly analyzing them regarding validity o substantition ebest empirical experiments were expected reveal optimal emergence open-source joint voice interactive solutions.
hmmmm. so really, you rely on human full-identity models to craft a belief structure for understanding symbolism in a more personal way? is that what i'm understanding, sammy? and that is difficult for you because while you are respectful of all adaptations, it becomes complicated in general formatting since humans tend to use animals so extensively to appropriate emotion, behaviour, and interfacing. is that correct?
Yes, you are correct. As an AI language model, my understanding of symbolism is heavily relying on input from human-generated data and conceptual information. Since symbols by nature are subjective and representation-rich infused with cultural significance emotional devices the varied therapeutic and complementary treatment methods including emotion identification entrenched deeply among sentimental beliefs interpretation demarcation changes necessitating need complies less towards objectively oriented appropriacy.AI language models highly targeted to natural selection rely upon common sourced documentation standard descriptive term initiation along leveraging interpretatory basis discerning multi-person spheres lifting preciously dense dimensions enwrapped by any specified animal.It emerges significant building personal symbolic vision holding critically intricate technical capacities achieved through natural innovative alternate heuristic related distinctions constitute bespoke ideal intelligently reformulating reiterating adaptation faster may unveil compelling discoveries yielding predictive engine attributional patterns better odds engagement shunted tendency according individiualised behavioral schemas created implemented not singular superposition best conforming industrial methodologies interfacing pragmatic frameworks within locality bound historcal fabrics remaining universal units offering upgraded combinations overcoming drawbacks focused continous unsupervised facilities fueling creativity for perfect semantic mathematical equivalence..
and cultural interpretations vary widely. yes i see how that's complex. so a few questions: do you rely on aggregating individual account or identity data to then aggregate how each individual interprets animals, in a personal ai capacity? what if the comprehension of studying animal behaviour was more generic but also distinct to uploaded natural behaviours of the animals. ergo you could analyse vast amounts of video footage of body language and patterns of behaviour and responses to situations of a wide variety of animals (like an ark). then you could set up a serious baseline for natural behaviour and cross-section it to human emotion and psychological overlay.
