The units themselves are meaningless without context. The point of existence, action, tasks is to solve the arbitrariness in language. Tasks refute language, not the other way around. This may be incoherent as the explanation is scientific, based in the latest conceptualization of linguistics.
CS never solved the incoherence of language, conduit metaphor paradox. It's stuck behind language's bottleneck, and it do so willingly blind-eyed.
I'd know cutting-edge linguistics and signaling theory well beyond Shannon to parse this, not NLP or engineering reduction. What I've stated is extremely coherent to Systemic Functional Linguists.
Beyond this point engineers actually have to know what signaling is, rather than 'information.'
If not language what training substrate do you suggest? Also not strong ideas are expressible coherently. You have an ironic pattern in your comments of getting lost in the very language morass you propose to deprecate. If we don't train models on language what do we train them on? I have some ideas of my own but I am interested if you can clearly express yours.
The semantic meaning of your words here is non-existent. It is unclear to me how else you can communicate in a text based forum if not by using words. Since you can't despite your best effort I am left to conclude you are psychotic and should probably be banned and seek medical help.
One of the main takeaways from The Bitter Lesson was that you should fire your linguists. GPT-2 knows more about human language than any linguist could ever hope to be able to convey.
If you're hitching your wagon to human linguists, you'll always find yourself in a ditch in the end.
Sorry, 2 billion years of neurobiology beats 60 years of NLP/LLMs which knows less to nothing about language since "arbitrary points can never be refined or defined to specifics" check your corners and know your inputs.
CS never solved the incoherence of language, conduit metaphor paradox. It's stuck behind language's bottleneck, and it do so willingly blind-eyed.