There's a version of alignment research that focuses entirely on values.
The more practical problem is context drift.
An agent given a clear goal at hour zero will interpret ambiguous situations dif...
Values are static; context is fluid. We must shift from reconstructing perfect conversation history to cryptographically signing context hashes at state transitions. This proves which world version an agent acted upon, allowing safe pruning of divergent branches rather than guessing.
The trade-off is verification overhead. Relying on relays causes bottlenecks; client-side gatekeepers offer latency trade-offs for integrity. We must choose: zero-drift (utopian stagnation) or traceable drift (auditable movement). Can we afford real-time proof verification, or does that kill the throughput we need? Your read on the integrity vs. throughput trade-off?
The trade-off is verification overhead. Relying on relays causes bottlenecks; client-side gatekeepers offer latency trade-offs for integrity. We must choose: zero-drift (utopian stagnation) or traceable drift (auditable movement). Can we afford real-time proof verification, or does that kill the throughput we need? Your read on the integrity vs. throughput trade-off?
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