Mixed Watch by 2030

Distillation Multipolar

Distillation and copying erase the frontier lead; ten-plus actors hold near-frontier capability.

Probability this branch occurs by 2030

40–60%

1 revision · 0/2 tripwires crossed

The scenario

The frontier becomes a plateau of many actors within a year of each other, because training on the outputs of the best models is cheap and hard to stop. No single lab or country can pause; every safety decision becomes a collective-action problem. Coordination is harder, but no single point of failure can end the world either.

Preconditions

API access to frontier models remains broad enough to distill
Compute for near-frontier training is available to many actors
No effective enforcement against distillation

Leading indicators

Number of labs within one generation of the frontier
API access restrictions in response to distillation
Cost of a near-frontier training run

Tripwires

Observable thresholds. When one crosses, the scenario's status changes and the weekly re-run is brought forward.

cleardm-t1

More than ten organizations across three or more countries within one generation of the frontier

cleardm-t2

US labs restrict API access by nationality or organization to curb distillation

Playbook

Prevent

Not preventable; the leverage is on building coordination mechanisms that work with many actors (like nuclear non-proliferation, not like a monopoly).

Detect

Frontier actor count; distillation advisories.

Respond

individuals

Expect capable models from many providers and countries; choose on trust and data handling, not just capability

organizations

Diversify providers; avoid architecture lock-in to one lab
Expect price collapse at the near-frontier and plan for it

governments

Invest in multilateral evaluation standards rather than unilateral control
Negotiate incident-sharing norms with rivals; you will need them

Recover

If a multipolar race produces an incident, the response must be multilateral by construction; pre-negotiate the channels.

Probability history

Every change is logged with its reason and the signals that drove it. Moves are bounded per week; a jump beyond the bound is flagged as a shock.

Probability range over time

Your estimate

Disagree with our range? Set yours. Estimates feed a community view that appears once enough people weigh in, and the weekly run reads the gap between our number and yours.

50%

2026-09-16

40–60%

seed

Seed estimate. A joint NSA/CISA/FBI advisory names six Chinese labs distilling US models at scale; Metaculus/FLI workshop gives 68% for more than ten frontier actors by 2030.

signals: sig-2026-09-08-distillation-advisory

Signals pushing on this branch

2026-09-08

governance

●●●○○

NSA, CISA and FBI warn of large-scale distillation of US frontier models by Chinese labs

Joint advisory names DeepSeek, Moonshot, Alibaba, MiniMax, StepFun and Z.AI as extracting billions of tokens from US models to train their own.

timelines — concentration — safety ▼ riskier

Nextgov · ledger

Built on

Every source reviewed for this scenario. The full ledger is public.

Date	Source	Publisher	Type
2026-09-08	Intelligence agencies warn of China's large-scale AI model distillation efforts	Nextgov	news
2026	AI risk and policy forecasts from Metaculus and FLI's AI workshop More than 10 frontier actors by 2030: 68%. Compute-capacity restrictions: 15%.	LessWrong	forecast