Because Gemini’s raw abilities—protein folding, cyber operations, and persuasion—cross the accident horizon. FSF imposes pre-launch red-teaming, interpretability audits, and staged rollouts, giving executives provable risk metrics instead of gut feels, and regulators a archetype light-years ahead of pending law today.

Engineers tag every capability by lasting results. Green ships after automated tests; Yellow demands human critique and watermarking; Orange keeps continuous observing advancement with on-call shutoffs; Red needs executive sign-off, isolation chambers, and a hardware kill-switch to zero weights within five minutes.

Neuron Gossip is DeepMind’s live interpretability dashboard. It color-codes concealed units, surfaces concept clusters, and flags causal chains between prompts and policy breaches. Red-teamers euphemism it ‘gossips’ about misbehavior, but in practice it slashes forensic time from hours to seconds.

Metrics show velocity dipped eleven percent, yet unsolved-incident risk halved. Teams say release notes draft themselves because triaged evidence settles arguments fast.

Yes: start by mapping capabilities to tiers, borrow community red-team volunteers, and use open-source interpretability like Circuits. Budget pain exists, but uncontrolled outages cost more later.

Any Tier-Red anomaly—biohazard prompt, autonomous replication attempt, or systemic PII leak—signals watchdog circuits. Operations has five minutes to zero weights and sever network links without hesitation.