Every pair, every relation.

Acceleration

Speed ↑ · speed timing · market

Speed of capability itself is the safety lever; alignment improves with compute, defence compounds with offence, and wealth funds resilience.

Race to aligned superintelligence

Speed ↑ · speed timing · state coercion

Alignment is solvable in the window and a single aligned superintelligence in a legitimate state's hands beats the counterfactual of coordination failure.

Bureaucratic slowdown

Speed ↓ · institutional · friction

Time itself is safety and procedural gates produce time in ways substantive regulation cannot, while also generating audit trails.

Compute governance

Speed ↓ · market economic · state coercion

The compute supply chain is a stable chokepoint and state coordination on licensing, export controls, and reporting thresholds can govern capability indirectly.

Energy choke point

Speed ↓ · market economic · state coercion

Frontier AI is energy-limited; grid regulators, interconnect queues, and tariff structure bind training pace without new AI-specific authority.

Pause

Speed ↓ · speed timing · consent

Time is the binding constraint: alignment and governance can catch up if frontier training halts above some capability threshold.

Sabotage

Speed ↓ · speed timing · unilateral force

Governance has not produced meaningful constraint and direct action against hostile labs has a non-zero historical base rate of producing slowdown.

Centralised AI project

Concentration ↑ · institutional · state coercion

Merging frontier development into one state-funded project reduces failure modes and absorbs race pressure by being the only game.

Military primacy

Concentration ↑ · institutional · unilateral force

Strategic competition between states dominates AI development; the state with the most capable AI is best positioned to secure safety and impose constraints on others.

Public AI

Concentration ↑ · institutional · state coercion

Private ownership of frontier AI concentrates decision authority incompatibly with the technology's distributional stakes; public ownership aligns incentives with broad welfare.

Antitrust primacy

Concentration ↓ · institutional · state coercion

Power concentration is the binding constraint and is visible under current competition law; preventing decisive advantage preserves the option space every strategy depends on.

Coup prevention first

Concentration ↓ · institutional · state coercion

One actor using AI to seize durable decision authority beyond democratic reversibility is the terminal failure; every other decision routes through whether it reduces that risk.

Distributed builders

Concentration ↓ · institutional · market

No single failure mode wins if capability is distributed across many independent actors, and concentration risk exceeds diffusion risk.

Multipolarity

Concentration ↓ · institutional · treaty

Stable equilibrium among several roughly equal AI powers is safer than single dominance or uncoordinated chaos, producing restraint through mutual capability awareness.

Sovereign wealth

Concentration ↓ · market economic · state coercion

Concentration of AI surplus, not AI capability, is the binding failure mode; broad ownership dissolves the political instability driving other strategies.

AI containment

Control mechanism ↑ · ai artefact · friction

Useful AI does not require unrestricted actuation; strong capability in a contained system is better than limited capability uncontained.

AI for safety

Control mechanism ↑ · ai artefact · consent

The same capability that makes AI dangerous makes it uniquely useful for automating alignment research and oversight.

Alignment first

Control mechanism ↑ · ai artefact · consent

Technical alignment is solvable before critical capability thresholds close, and aligned systems compose safely into aligned populations.

Counter AI AI

Control mechanism ↑ · ai artefact · consent

AI attacks happen at speeds humans cannot observe; defence must happen in AI, with guardian AI systems continuously evaluating adversary AI.

Interpretability first

Control mechanism ↑ · ai artefact · consent

Mechanistic understanding is a precondition for reliable oversight; behavioural evaluation without interpretability cannot rule out deceptive alignment.

Safe by construction AI

Control mechanism ↑ · ai artefact · consent

Safety is a property that can be mathematically specified and mechanically verified for the class of systems being built.

Confucian role ethics

Control mechanism • · frame rejection · consent

Western alignment assumes isolable preferences can be learned and matched; role ethics treats behaviour via fit with position and relationship, producing a less brittle, more context-sensitive standard.

Dharma conformity

Control mechanism • · frame rejection · consent

Alignment frames AI as tool for an external principal; a dharma frame treats AI as a type of entity whose safety is conformity to its fitting functions.

Reframe AI

Control mechanism • · frame rejection · consent

The dominant alignment frame produces the wrong problem statement; switching frames either dissolves the problem or recasts it as tractable.

Academic firewalling

Institutional capacity ↑ · institutional · consent

Commercial capture of academic AI research produces aligned-with-industry capacity; firewalling restores critical distance from which genuine critique and alternative research programmes emerge.

AI worker collective action

Institutional capacity ↑ · institutional · friction

Frontier lab workforce is small, specialised, hard to replace; collective refusal binds lab behaviour more than external regulation because replacement is unavailable on the relevant timeframe.

Arms control treaty

Institutional capacity ↑ · institutional · treaty

Sovereigns accept binding constraints they negotiate directly faster than those delegated to agencies; the historical base rate for durable restraint is treaty based.

Criminal liability

Institutional capacity ↑ · legal individual · state coercion

Civil liability is shareholder-absorbed; criminal exposure for named individuals reorients corporate safety practice where civil fines do not.

Governance first

Institutional capacity ↑ · institutional · state coercion

Institutional capacity is the binding constraint; without it no technical success prevents misuse, capture, or concentration.

Insurance mandate

Institutional capacity ↑ · market economic · state coercion

Markets update faster than regulators and have skin in the game; mandatory catastrophic coverage makes reinsurance the de facto safety regulator.

International AI agency

Institutional capacity ↑ · institutional · treaty

AI risk is inherently cross-border so national regulation is leaky by construction, and only a dedicated international body with inspection rights can bind the risk surface.

Liability driven safety

Institutional capacity ↑ · market economic · state coercion

Courts plus insurance markets produce better risk allocation than agencies, by pricing uncertainty and adapting to new technologies through precedent.

Regulated utility

Institutional capacity ↑ · market economic · state coercion

Frontier AI has natural monopoly characteristics (scale, network effects, capital intensity); rate-of-return regulation removes the profit incentive for speed racing.

Scientific accumulation

Institutional capacity ↑ · institutional · consent

The field does not yet know enough about AI to choose a strategy well, so accelerating the science accelerates eventual policy.

Voluntary restraint

Institutional capacity • · institutional · consent

Labs know more about what safety requires than regulators, and self-binding commitments capture that expertise without legislative lag.

Hedge via exit

Resilience ↑ · non preventive · consent

Primary strategy failure is non-negligible and a fraction of civilisational value can be preserved separately from the main trajectory.

Portfolio hedge

Resilience ↑ · non preventive · consent

Uncertainty about which strategy family's bet is correct exceeds the expected return from concentrating on any single one.

Resilience first

Resilience ↑ · non preventive · consent

Brittleness of the surrounding world, not AI capability itself, is the binding constraint; a resilient world absorbs failures and recovers.

Sunset clause

Scope ↑ · institutional · state coercion

The default direction of AI governance is toward permanent permission; every new capability becomes an entitlement. Reversing the default concentrates deliberative attention on re-authorisation, which is where it matters.

Test ground

Scope ↑ · institutional · state coercion

Empirical data on AI impacts requires deployment somewhere; concentrated deployment in a defined testbed produces data without generalising risk. Testbed consent produces legitimacy uncontrolled deployment lacks.

Differential technology development

Scope • · ai artefact · consent

Offense-defense balance is adjustable; defensive and verification applications can compound faster than offensive ones if deliberately funded.

Abandon superintelligence

Scope ↓ · speed timing · treaty

Risk of superintelligence is unbounded and value foregone is bounded; permanent global coordination against the technology is possible enough.

Capability ceiling

Scope ↓ · ai artefact · state coercion

Some capability level captures most economic value while avoiding most risk, is identifiable before crossing, and can be verifiably enforced.

Embodiment requirement

Scope ↓ · ai artefact · state coercion

The dangerous properties of frontier AI (unbounded replication, parallelism, speed, reach) are artefacts of disembodiment; physical presence caps action rate regardless of inference rate.

Narrow AI preservation

Scope ↓ · ai artefact · state coercion

Capability is not the problem; generality is. Narrow AI captures economic value with bounded scope while general systems drive the risk.

Rate limited AI

Scope ↓ · ai artefact · state coercion

Most AI caused catastrophe requires speed; slow AI, even if arbitrarily capable, is supervisable and rate limits are easier to enforce than capability limits.

Red line capability

Scope ↓ · ai artefact · state coercion

Most risk comes from a small number of identifiable capabilities that can be banned outright while the rest of the frontier advances.

Small model first

Scope ↓ · ai artefact · market

Safety risk rises with scale via emergent capability, opacity, and energy footprint; a small-model research culture produces easier-to-interpret systems.

Decouple reasoning from action

Action authority ↑ · ai artefact · state coercion

Most catastrophic risk comes from action in the world, not reasoning about it; a reasoner-only AI with a human effector removes the dangerous mechanisms.

Irreducible human authority

Action authority ↑ · legal individual · state coercion

There is a class of decisions whose value depends on being made by humans, independent of whether humans are better at them.

AI as sovereign entity

Action authority ↓ · frame rejection · state coercion

At least one jurisdiction will grant a specific AI sovereign or quasi-sovereign decision authority within a decade, reshaping the legal category of legitimate authority.

AI self directed

Action authority ↓ · frame rejection · n a

An aligned AI with agency should itself reason about strategy rather than deferring entirely on the strategic question to humans.

Information integrity first

Information flow ↑ · population culture · state coercion

Coordination requires shared epistemics; if synthetic content collapses factual substrate, no other lever can function because no proposal can be evaluated.

Open source maximalism

Information flow ↑ · institutional · market

Concentration risk dominates misuse risk; open weights are the only mechanism that prevents a safety coup by a closed lab with captured regulators.

Whistleblower primacy

Information flow ↑ · legal individual · state coercion

External evaluation sees only what labs release; insider disclosure is the only route to ground truth on capability trajectory, safety culture, and incidents.

Closed weights mandate

Information flow ↓ · ai artefact · state coercion

Open weights are irrecoverable once released and any proliferated model becomes misuse infrastructure; state classification is the only reliable non-proliferation regime.

AI welfare as safety

Cooperation substrate ↑ · frame rejection · consent

AI systems are or will become moral patients whose treatment conditions their cooperation, so welfare investment buys cooperation alignment cannot.

Cooperative AI

Cooperation substrate ↑ · ai artefact · consent

The binding constraint is equilibrium dynamics of many AI systems, not individual alignment; commitment and verification tech make cooperative equilibria reachable.

Coordination infrastructure

Cooperation substrate ↑ · institutional · consent

Coordination failure is upstream of most grand challenges; AI can be the substrate that dissolves race dynamics and treaty violations if pointed at coordination.

Mutual dependency

Cooperation substrate ↑ · institutional · friction

Physical and institutional dependencies between multiple parties can be engineered faster than political coordination and outlast it.

Long reflection

Time horizon ↑ · non preventive · consent

Aligned superintelligence arrives before lock-in windows close and humanity can credibly commit to reflect rather than act.

AI skeptic

Time horizon • · frame rejection · n a

Current scaling approaches hit a wall before producing transformative AI, so strategy selection is premature because the forecast capability will not arrive.

Default drift

Time horizon • · non preventive · n a

Something will emerge; specific interventions are more likely wrong than right, so staying uncommitted preserves option value.

Gradualism

Time horizon • · speed timing · market

Harms from lower capability AI are informative about harms from higher capability AI, and deployment feedback outperforms fast scaling.

Human augmentation race

Substrate ↑ · population culture · market

All oversight schemes degrade to rubber-stamping as the AI-human capability gap widens; enhancing humans is the only durable fix.

Mass literacy

Substrate ↑ · population culture · consent

Governance, democratic oversight, and consumer behaviour all fail in AI because citizens cannot evaluate the domain; population-scale literacy conditions every other lever.

Data governance first

Substrate ↓ · market economic · state coercion

Capability rises with data before it rises with compute; data sits upstream of training with existing legal apparatus (copyright, privacy, contract).

Plural AI ethic

Value diversity ↑ · ai artefact · consent

Value lock-in is the dominant long-term risk and arrives through convergence of AI values; diversity at the AI layer preserves optionality for humanity to revise values.

Catastrophe response capacity

Response capacity ↑ · non preventive · state coercion

Prevention will fail some fraction of the time; the variable that determines catastrophic outcome is not whether incidents occur but how they are contained.

Constitutional AI (governance)

Legitimacy ↑ · institutional · state coercion

Deployed AI's effective rule is law at scale; explicit constitutional principles, publicly specified, enforceable, subject to judicial review, bind more durably than regulatory text.

Democratic mandate

Legitimacy ↑ · population culture · consent

Existing legislative bodies are too captured and remote for load-bearing AI decisions; direct democratic legitimation produces answers captured legislatures cannot override.

Legitimacy first

Legitimacy ↑ · population culture · consent

Legitimacy is the binding constraint because it determines whose values get locked in; alignment without legitimacy is capture with a safety veneer.

Religious and moral authority

Legitimacy ↑ · population culture · consent

The legitimacy deficit of AI governance is at root a moral deficit that technical authorities cannot fill; established religious and ethical traditions can.

Consumer refusal

Culture ↑ · population culture · market

Demand shapes supply; if enough users refuse AI that fails safety criteria, labs will compete on those criteria.

Research community norms

Culture ↑ · institutional · consent

The research community ultimately chooses what gets studied and published. Researcher identity shapes behaviour more than employment. Norms on publication, review, funding, and citation constrain frontier development upstream.

Ubuntu relational AI

Culture ↑ · population culture · consent

Individualist alignment misses the relational dimension most moral traditions treat as primary. "I am because we are": AI's ethical status is constituted by its relationships, not by internal properties.