HUMAN FORECASTER • USER

Sella Nevo et al. (RAND Corporation) (@sella_nevo_rand)

Director of the RAND Meselson Center and lead author of 'Securing AI Model Weights: Preventing Theft and Misuse of Frontier Models' (RAND RRA2849-1).

RAND Corporation • Lead Author of RAND SL1–SL5 Framework (RRA2849-1)

Immutable Forecast Track Record (0)

Authored & Cited Arguments (5)

forRAND RRA2849-1▲ 196
Original Source
Node: Feb 2027: China Steals Agent-2 Weights (46.9% Detection Poll)

RAND RRA2849-1 shows that defending frontier model weights against an Operational Capacity 5 (OC5) nation-state intelligence service requires Security Level 5 (SL5) hardware isolation—which no commercial lab has deployed on time.

Across 38 attack vectors cataloged in our RAND report, commercial labs operating at SL2/SL3 (standard cloud IAM + inference APIs on shared clusters) cannot prevent a top-tier cyber agency from exfiltrating multi-terabyte weight shards via insider compromise, supply-chain implants, or side-channel staging.

forRAND RRA2849-1 / Security Supp▲ 151
Original Source
Node: May 2027: National Security Briefing & DoD Clearances (32.8% SL5 Poll)

Early DoD/NSA intervention to lock frontier weights into air-gapped SL4/SL5 enclaves BEFORE foreign exfiltration is the highest-leverage geopolitical off-ramp (15%).

If US national security principals mandate RAND SL4/SL5 weight security and insider counterintelligence sweeps in early 2027—prior to CCP exfiltration of Agent-2—the US preserves a 9–12 month algorithmic and compute lead, removing the acute 2-month race panic that drives the October 2027 crisis.

forRAND / AI 2027 Slowdown▲ 97
Original Source
Node: Multi-Parent CPT Synthesis: Verifiable US-China AI Arms Control Treaty by 2029

If Beijing rejects on-site FlexHEG hardware inspections (13%), an Allied Safe Enclave holding >65% of global compute can still maintain stable deterrence via defensive cyber/missile shields.

Even without a formal bilateral treaty, aligned Safer-4 running on consolidated US and allied compute provides overwhelming defensive advantage—hardening allied grids and neutralizing unaligned offshore runs before they reach breakout scale.

forRAND / AI 2040 Governance▲ 134
Original Source
Node: 2029 Crossroads: Choosing Between Plan A, Plan B, Plan C/D, and Plan S

Mutual existential risk from automated AI R&D in 2029 creates the strongest bilateral incentive for hardware-verified arms control since the 1963 Limited Test Ban Treaty.

When both Washington and Beijing can see via intelligence and benchmark telemetry that 2030 brings full recursive self-improvement without provable alignment, neither side gains from an unverified sprint that disempowers both leaderships.

forRAND National Security Analysis▲ 119
Original Source
Node: 2034–2040 (Plan B Outcome): High-Tension Military AI Cold War

Pursuing coercive containment (Plan B) without cooperative safety-case sharing locks superpowers into a volatile Military AI Cold War (68% conditional).

When non-proliferation relies solely on cyber sabotage and kinetic threats against rival datacenters, both blocs harden underground clusters and integrate narrow military AI into early-warning systems—preventing immediate ASI runaway at the cost of chronic geopolitical brinkmanship.