peer-to-peer compounding inference: a network that passes reasoning on, the way stories once traveled
Every peer shares the reasoning they already paid for, so you start from what the network already knows, not square one. Every telling makes the next teller richer.
# agents reason from zero, every single time. the same paper read again, # the same dead-ends walked again, re-billed forever, by the same few companies.
the work was done.
nobody kept it.
folklore
FileNetworkPeers
16:32
pull = teal · serve = pink · reproduce it: examples/desktop-demo
you start here, not at zero.
inherit the reasoning. infer deeper.
even the graph sleeps.
episodic becomes semantic; stale facts are forgotten. a model consolidates in its own weights, alone. the commons consolidates in the open: shared, signed, and yours.
the fire is ours to keep.
i. Reasoning is labor. An answer that dies with its context window is labor thrown into the sea. We keep what we pay for.
ii. Every re-derivation is a tax. Paid to the same few companies, forever. Folklore is tax refusal by memory.
iii. Shared memory shrinks the model. Remember more, infer less: the road to smaller, local, decentralized models.
iv. No big brother in the loop. Your graph lives on your disk. No landlord.
read the full creed →light your fire.
Download the app · installs everything · wires your AI tools · no terminal
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