(Click the book covers.) Do I detect episodic wafts of LLM auxiliary "authorship" in these two books?
More stuff to plow through and sort out pertaining to both the opaque frontier Tech and the worrisome circular too-big-to-let-fail IPO-ish Economics.
MORE NOSTA
“AI can shorten the distance between exposure and confidence. That is real. But the distance between exposure and wisdom is a different journey, and nothing has shortened that.
There is a philosophical twist here worth noting. Spiritual traditions have long idealized the present moment as a higher cognitive state, offering freedom from attachment to past and future, liberation found in pure presence. AI lives in that state by default. Yet it is not transcending narrative because it never had a narrative to begin with. It is not collapsing time through some achievement of awareness but simply never contained time at all. The mystic who achieves presence does so against the backdrop of a life lived in sequence. The machine’s presence is not an achievement but an architectural limitation dressed in the appearance of clarity.
This is critical because humans may begin adapting to the temporal logic of machines. If present-tense coherence becomes more rewarding than the slower accumulation of meaning, we could start trading our temporal cognition for the immediacy AI offers. The risk is not replacement but dissociation from the very structure of meaning-making that defines the human mind.
Human cognition matters because it survives across time. We revise beliefs through error, internalize consequences, and carry continuity forward, letting experience reshape what we thought we knew. When an idea remains standing after years of contact with reality, it becomes more than a pattern. It becomes knowledge. AI will eventually develop engineered continuity layers, simulated autobiographical states that create the appearance of temporal experience. But synthetic continuity is not lived continuity. AI builds coherence from the outside, leveraging pattern matching at tremendous scale, while humans build coherence from the inside, integrating experience into identity.
Meaning is temporal. Story is temporal. Identity is temporal. AI does not live there. We do.
Ask a child what an apple is, and you will get something sweet, literal, and probably red. Ask a theologian and you might hear about sin. A tech analyst will tell you about Cupertino, quarterly earnings, and silicon. The word bends depending on who is holding it.
Large language models do something strange with this. They do not pick one meaning but locate the word in a space of roughly twelve thousand dimensions, each encoding some fragment of what the word could mean. When I first understood this, it changed how I thought about what these systems are actually doing. They are not storing definitions but mapping positions.
Every word, every token, every scrap of language exists as a point in this vast multidimensional architecture. The word apple does not mean anything on its own inside the model but means everything, depending on context. And context gets calculated.”…
The Borrowed Mind: Reclaiming Human Thought in the Age of AI by John Nosta (pp 86-87).
INDSET & NEWKART ERRATA
You might want to review a bit of evolutionary history bkg context.
More to come...

























