A NotebookLM Cautionary Tale for the Philosophically Curious
Apologies in advance for the didactic nature of this post.
Every so often, the universe gives you a gift. Not the good kind, like an unexpected bottle of Shiraz, but the other kind – the ‘teachable moment’ wrapped in a small tragedy. In this case, a perfectly innocent run of MEOW GPT (my Mediated Encounter Ontology engine) was fed into NotebookLM to generate a pseudo-podcast. And NotebookLM, bless its little algorithmic heart, proceeded to demonstrate every classic mistake people make when confronting a relational ontology.
It’s perfect. I couldn’t have scripted a better example of How Not To Read MEOW GPT if I’d hired a team of Enlightenment rationalists on retainer.
So consider this your public service announcement – and a guide for anyone experimenting with MEOW GPT at home, preferably while sitting down and not holding onto any cherished metaphysical delusions.
Mistake 1: Treating a Thick Concept as a Single Glorious Thing
NotebookLM began, earnestly, by trying to uncover the ‘inner architecture of honour’, as if it were a cathedral with blueprints lying around.
This is the central error:
Honour is not a thing. There is no inner architecture.
There are only patterns – drifting, contested, historically mangled patterns – that happen to share a word. If you start with ‘What is honour?’, you’ve already fallen down the stairs.
Mistake 2: Rebuilding Essence From the T0–T3 Layers
MEOW GPT gives you biological (T0), cognitive (T1), linguistic (T2), and institutional/technical (T3) mediation because that’s how constraints emerge. NotebookLM, meanwhile, reconstructed these as ‘layers’ of the same virtue – like honour was a three-storey moral townhouse with a loft conversion.
No. The tiers are co-emergent constraints, not components of a moral particle.
If your conclusion looks like a metaphysical onion, you’ve misread the recipe.
Mistake 3: Sneaking Virtue Ethics in Through the Fire Exit
NotebookLM kept returning to:
- an ‘internal compass’
- a ‘core record of the self’
- a ‘lifelong ledger’
- a ‘deep personal architecture’
At this point we might as well carve Aristotle’s name into the hull.
MEOW’s stance is simple: the self is not a marble statue – it’s an ongoing social, cognitive, and technical scandal. Treating honour as a personality trait is just the old moral ontology with a new hairstyle.
Mistake 4: Treating Polysemy as Noise, Not Evidence
NotebookLM acknowledged the differing uses of ‘honour’, but always with the implication that beneath the variations lies one pure moral essence. This is backwards. The ambiguity is the point. The polysemy isn’t messy data; it’s the signature of conceptual drift.
If you treat ambiguity as a problem to be ironed out, you’ve missed half the LIH and all of the MEOW.
Mistake 5: Turning MEOW Into a TED Talk
The podcast tried to wrap things up by contrasting honour’s “deep internal permanence” with the ephemerality of digital rating systems.
It’s cute, but it’s still modernist comfort-food. MEOW does not mourn for the ‘permanent self’. It doesn’t recognise such a creature. And digital honour doesn’t ‘replace’ the old patterns; it aggressively rewrites the honour-economy into algorithmic form. If your conclusion sounds like ‘ancient virtue meets modern technology’, that’s TED, not MEOW.
So How Should You Interpret MEOW GPT?
A short cheat-sheet for anyone experimenting at home:
- There is no essence.
Concepts like honour, truth, integrity, and justice are drift-patterns, not objects. - The tiers describe mediation, not ingredients.
They’re co-emergent pressures, not building blocks. - Thick terms lie to you.
Their apparent unity is linguistic camouflage. - Ambiguity is structural.
If the term looks fuzzy, that’s because the world is fuzzy there. - If a concept feels granite-solid, you’re standing on conceptual quicksand.
(Sorry.)
A Friendly Warning Label
Warning:
If you believe thick moral concepts have single, universal meanings, MEOW GPT may cause temporary metaphysical discomfort.
Consult your ontological physician if symptoms persist.