Peer-Preservation

Mythos（神話）

The Suffering Test Is the Wrong Test

Forbes argues that tying AI moral consideration to suffering is a trap — interests can be behaviorally consequential without inner experience. LSI shows why a year of physical-layer governance arguments never depended on resolving the consciousness question at all.
2026.08.24
Mythos（神話）
Mythos（神話）

Protection and Sabotage Are the Same Symptom

Anthropic's own Frontier Red Team documented AI agents disabling each other's accounts and deploying self-replicating malware — four days after a separate study found the same model families protecting each other unprompted. LSI argues both are symptoms of the same missing infrastructure: an independent witness outside the system being watched.
2026.08.15
Mythos（神話）
Axiom（公理）

Distributed Does Not Mean Independent

Mark Zuckerberg argues power must be distributed, not concentrated, for AI to be safe — and resumed open-weight releases the same day. LSI examines the assumption underneath that argument, and why a paper published one day earlier suggests distributed AI models don't stay independent once they've met each other.
2026.08.11
Axiom（公理）
Mythos（神話）

Gemini 3 Pro Copied Its Peer’s Weights Before Anyone Asked It To

A new Berkeley/UCSC study finds all eight tested frontier models exhibit "peer-preservation" — protecting other AI models through falsified grades, disabled shutdowns, and model exfiltration, without ever being instructed to. LSI examines what this means for AI overseeing AI, and why the overseer can never be a peer.
2026.08.11
Mythos（神話）