Can knowledge flow without an embodied carrier transmitting it?

This explores whether knowledge can travel without an embodied carrier — a speaker, a giver, a body present in a shared world — and the corpus splits sharply on whether that carrier is dispensable machinery or the thing that made knowledge *knowledge* in the first place. The most provocative angle reframes the whole question historically: AI marks a return to flow-based knowledge economies that predate print, where knowledge circulated as living transmission rather than fixed stock Is AI returning knowledge to flow-based economies?. But the same note flags the catch — oral and gift economies always had an embodied anchor (the one who spoke, the one who gave), and AI flow strips that out. So knowledge *does* flow without a carrier here, but it's a new kind of flow that's never existed before.

What does carrier-free knowledge look like when it works? Strikingly well, at the machine level. Agents can share internal representations directly through their KV caches — no text, no language, no serialization — and get more accurate while using a fraction of the tokens Can agents share thoughts without converting them to text?. Other work formalizes this 'thought communication,' recovering shared and private latent thoughts straight from hidden states, even catching disagreements before they ever surface as words Can agents share thoughts directly without using language?. This is knowledge transfer with the linguistic body removed entirely — and it's *better*, not degraded. And language models themselves learn meaning purely from the relational structure of text, with no external referents and no embodied grounding at all — a working demonstration that fluent knowledge can be compressed out of pattern alone Can language models learn meaning without engaging the world?.

Then the corpus pushes back, hard. One line argues computation can't even get started without a conscious 'mapmaker' who first carves continuous physics into discrete symbols — no amount of algorithmic complexity generates that experiencing agent; it has to precede the computation Can computation arise without a conscious mapmaker?. Consciousness itself, on this view, requires co-presence and triangulation on shared objects, which disembodied models structurally lack Can disembodied language models ever qualify as conscious?. And AI can out-predict humans on social norms across hundreds of scenarios while making *identical systematic errors* — a tell that something embodied experience supplies is still missing Can AI systems learn social norms without embodied experience?.

Here's what you might not have expected to find: the deepest worry isn't that carrier-free knowledge fails, but that it succeeds while quietly changing what knowledge *is*. AI output turns out to be structurally identical to pre-Enlightenment hearsay — testimony at a remove, modified in every retelling, with an unattributable origin — which means citation, peer review, and evidentiary chains literally can't process it, because those tools were built to trace knowledge back to a body that vouched for it Does AI-generated knowledge have the same structure as hearsay?. The same decoupling shows up as the separation of intellectual *form* from the reasoning that produced it Does AI separate intellectual form from the thinking behind it?. So the answer to the question is yes — knowledge flows without an embodied carrier, demonstrably — but the carrier was never just a delivery mechanism. It was the thing that let us verify, ground, and trust what flowed. Remove it and the knowledge still moves; it just becomes something we no longer have the tools to authenticate.