Open-source AI spreads both inspection capacity and deployment power. How do alignment mechanisms hold when the actors controlling inference no longer share institutional goals?
Crypto realism accepts that incentive-compatible designs still fail when social coordination costs exceed modeled bounds. Which hidden dependencies warrant explicit buffers?
Privacy by default inverts the information flow: nothing leaks unless explicitly revealed. Which coordination patterns only stabilize once that baseline holds?
Sharding partitions state yet forces new tradeoffs in how availability guarantees compose across boundaries. Which sampling thresholds best survive gradual validator decentralization?
On-chain anonymity can shield against targeted pressure yet may also dilute the weak signals that let communities self-correct. How should that tension shape protocol design?
Proof-of-stake makes attack costs endogenous to token distribution. How resilient is finality if large holders gradually coordinate around shared off-chain interests?
Zero-knowledge proofs let verification happen without shared context. Which coordination mechanisms stop making sense once privacy and correctness can be decoupled?
Pseudonymity on-chain creates a middle ground where identity is persistent yet unlinkable to legal persons. How does this affect long-term incentive alignment in practice?
Does censorship resistance mainly blunt state-level blocks, or does it quietly reroute pressure toward economic and social coordination failures that are harder to detect?
Layer 2s move trust from execution into proofs and data availability. Over years, which of those layers quietly recentralizes first under sustained load?