The air is thick with bad takes. Scroll for five minutes and you’ll find someone announcing, usually with the pomp of a TEDx speaker, that “AI has no emotions” or “It’s not really reading.” These objections are less profound insights than they are linguistic face-plants. The problem isn’t AI. It’s the speakers’ near-total ignorance of how language works.
Language as the Unseen Operating System
Language is not a transparent pane of glass onto the world. It is the operating system of thought: messy, recursive, historically contingent. Words do not descend like tablets from Sinai; they are cobbled together, repurposed, deconstructed, and misunderstood across generations.
If you don’t understand that basic condition, that language is slippery, mediated, and self-referential, then your critique of Large Language Models is just noise in the system. LLMs are language machines. To analyse them without first understanding language is like reviewing a symphony while stone deaf.
The Myth of “Emotions”
Critics obsess over whether LLMs “feel.” But feeling has never been the measure of writing. The point of a sentence is not how the author felt typing it, but whether the words move the reader. Emotional “authenticity” is irrelevant; resonance is everything.
Writers know this. Philosophers know this. LLM critics, apparently, do not. They confuse the phenomenology of the writer with the phenomenology of the text. And in doing so, they embarrass themselves.
The Licence Test
So here’s the proposal: a licence to comment on AI. It wouldn’t be onerous. Just a few basics:
- Semiotics 101: Know that words point to other words more than they point to things.
- Context 101: Know that meaning arises from use, not from divine correspondence.
- Critical Theory 101: Know that language carries baggage, cultural, historical, and emotional, that doesn’t belong to the machine or the individual speaker.
Fail these, and you’re not cleared to drive your hot takes onto the information superhighway.
Meta Matters
I’ve explored some of this in more detail elsewhere (link to Ridley Park’s “Myth of Emotion”), but the higher-level point is this: debates about AI are downstream of debates about language. If you don’t grasp the latter, your pronouncements on the former are theatre, not analysis.
Philosophy has spent centuries dismantling the fantasy of words as perfect mirrors of the world. It’s perverse that so many people skip that homework and then lecture AI about “meaning” and “feeling.”
Philosophics 