A question about Tarski's T-schemas.
I have a question about Tarski's T-schemas. Would the categorization of various T-schemas under the guise of conceptual analysis, lead to a more truthful semantic model than what we see today with large-language-training-models?
I only ask this because I find this rendering of how knowledge, and atomic sentences more consistent with academic standards, where the current use of chat bots cannot be utilized according to academic standards.
I only ask this because I find this rendering of how knowledge, and atomic sentences more consistent with academic standards, where the current use of chat bots cannot be utilized according to academic standards.
Comments (9)
Yes, well the rationale is that given that languages utilize extensively the use of concepts to talk about various issues, like space or time or physics, then I surmise that by appealing to T-schemas, that a user of language would be better able to understand concepts with regards to what can be rendered or said truthfully about a concept in a language (atomic sentences).
Well, the aim here is to have a rendering or model of language that aligns with truth of concepts and what I imagine "archetypes" in understanding concepts as truthful. This whole use as meaning from Wittgenstein's family resemblance and language games is kinda something I wanted to see disambiguated from a Tarskian view on semantics...
How does that work?
Think it's all too vague.
Like intellectuals, you cannot trust them further than they can throw you.