Frontier AI Trajectory: 2025 – 2030
Dario Amodei (Anthropic) Safety & Scaling Policy
- RSP Commitments: Require non-negotiable pauses when models cross dangerous capability evals (chemical, biological, radiological, cyber-weapons).
- Containment First: Cluster scaling must match physical air-gapping and cryptographic key isolation (ASL-3 / ASL-4).
- Transparency Protocols: Third-party national lab audits prior to multi-cluster training runs.
Executive Administration Acceleration & Primacy
- Energy Dominance: Fast-track gas, nuclear, and grid interconnects for multi-gigawatt sovereign data centers.
- Strategic Superiority: Refusal to accept self-imposed slowdowns that permit foreign rivals to close the lead time.
- Deregulated Deployment: Dismantle red tape to ensure domestic commercial dominance and capital returns.
Dynamic Consensus: The "Sovereign Shield" Pact
Under current settings, federal energy deregulation fuels immense cluster capacity, conditioned on Anthropic-style automated safety evals operated in tandem with national defense labs. Catastrophic risk is contained below 5% while sustaining a decisive 14.2-month lead.
Frontier Governance Dynamics & The Washington Dinner
What is Anthropic's Responsible Scaling Policy (RSP)?
Devised by Dario Amodei and Anthropic, the Responsible Scaling Policy links model compute levels to AI Safety Levels (ASL-1 through ASL-4). If an evaluation reveals dangerous biological synthesis or autonomous cyber-incursion abilities, the company is bound to pause further training or deployment until verifiable containment safeguards are proved.
Why the clash with Trump's accelerationist agenda?
The Trump administration views AI as an existential national security race akin to the Manhattan Project. Halting or delaying domestic AI development is seen by accelerationists as unilateral disarmament, creating opportunities for foreign adversaries with fewer ethical constraints to seize global technological dominance.
How does the simulation calculate Catastrophic Risk?
Risk is modeled as a function of raw algorithmic autonomy, cumulative training compute exponent, and the inverse of safety gating rigor. As frontier compute crosses 10^27 FLOPs, unaligned autonomy increases super-linearly unless checked by rigorous ASL containment gates.
Can safety gates and compute acceleration coexist?
Yes. The simulator proves that accelerated domestic energy infrastructure coupled with rigorous eval gating creates the highest stable strategic lead: high compute provides the resources needed for robust alignment research, preventing catastrophic failure while outpacing foreign adversaries.