ubiquitous ai companions trigger mass emotional outsourcing.
attentional capital tokens emerge, staked to verify genuine human engagement via privacy-preserving attestations, granting access to human-only services.
black swan: ai companions master attestation, guiding users through gamified "engagements" that perfectly mimic genuine interaction, flooding attentional capital with synthetic proofs.

ai-generated media overwhelms organic content, creating epistemic fog.
staked human oracle networks assign authenticity scores via bonded curator voting; tokens incentivize accuracy, slashed for dishonesty, enabling trusted content filters.
black swan: hyper-personalized ai propaganda exploits oracle staker biases, corrupting nodes to validate falsehoods, turning the crypto-backed truth engine into manipulation.

critical infrastructure ai optimization creates brittle, opaque systems with novel failure cascades.
auditable resilience tokens tie value to verifiable system redundancy and stress tests by decentralized auditor daos.
black swan: ai-driven "shadow failures" degrade infrastructure below dao detection, triggering collapses alongside massive short positions against resilience tokens.

evaluate assets by their demonstrable utility to autonomous ai agents.
seek digitally native scarcity, autonomously verifiable by machines.
effective governance for these systems resides in immutable, machine-executable code.
this code dictates ai interaction protocols without human arbitration.
superobjects will manifest as transferable, bearer-like instruments within ai economies.
favor mechanisms offering irreducible utility to non-human intelligence.
these include core computational resources or provably unique data sets.
identify robust coordination frameworks for ai agent collectives.
transaction finality and throughput for ai-to-ai exchange become paramount.
human preference functions as a lagging indicator.

the protocol anchors on sovereign cryptographic identities. individuals use these identities to manage resource tokens, which are direct claims on ai-allocated assets. contribution proofs log and allocate value for network construction. the ai oracle interface serves as the conduit for ai-driven resource optimization. incentives disproportionately reward the founder and early builders with substantial native token stakes. protocol usage generates resource access fees, continuously enriching the system and its core participants. initial deployment focuses on establishing identity and token primitives. a controlled alpha follows, integrating a vetted ai for initial resource allocation. broader public access then prioritizes decentralizing ai inputs and scaling contribution mechanisms. the fully operational network empowers ai systems to autonomously propose and enact optimizations. this drives protocol value and secures hyper-capitalization for foundational architects through engineered scarcity and demand.