(Deepseek) Deepthink R1
S
A
Recursive Safety Validation
Total Score (8.03/10)
Parameters: (I=9.7, F=8.8, U=8.5, Sc=9.2, A=8.5, Su=9.0, Pd=1.8, C=5.5). Validates capability tiers via recursive verification. Calculation: (0.25×9.7)+(0.25×8.8)+(0.10×8.5)+(0.15×9.2)+(0.15×8.5)+(0.10×9.0)-(0.25×1.8)-(0.10×5.5)=8.03.
Description: Recursive verification of alignment properties using AI systems.
DeepMind Safety Ladder Score (8.5/10)
Capability-tiered verification framework.
ARC Validation Loop Score (8.3/10)
Formal proof automation pipeline.
ETH Zurich Formal Validation Score (8.1/10)
Machine-checked alignment proofs.
Scalable Oversight
Total Score (7.97/10)
Parameters: (I=9.8, F=8.5, U=8.2, Sc=9.1, A=7.8, Su=8.6, Pd=1.6, C=4.2). Infrastructure for recursive alignment. Calculation: (0.25×9.8)+(0.25×8.5)+(0.10×8.2)+(0.15×9.1)+(0.15×7.8)+(0.10×8.6)-(0.25×1.6)-(0.10×4.2)=7.97.
Description: Maintaining control through iterative amplification and automated oversight.
OpenAI Weak-to-Strong Score (8.7/10)
Generalization from weaker supervisors.
DeepMind RRM v2 Score (8.4/10)
Multi-level reward modeling.
Ought Factored Cognition Score (7.9/10)
Decomposition of oversight tasks.
B
Mechanistic Interpretability
Total Score (7.56/10)
Parameters: (I=9.9, F=8.0, U=9.0, Sc=8.2, A=9.2, Su=9.0, Pd=2.5, C=7.0). Critical for deception detection. Calculation: (0.25×9.9)+(0.25×8.0)+(0.10×9.0)+(0.15×8.2)+(0.15×9.2)+(0.10×9.0)-(0.25×2.5)-(0.10×7.0)=7.56.
Description: Reverse-engineering neural networks to verify alignment.
Transformer Circuits Analysis Score (8.3/10)
Mechanistic analysis of attention heads.
Anthropic Sparse Autoencoders Score (8.1/10)
Scalable feature discovery.
Redwood Adversarial Training Score (8.0/10)
Stress-testing model internals.
Human Value Frameworks
Total Score (6.95/10)
Parameters: (I=9.5, F=7.0, U=8.0, Sc=8.5, A=7.0, Su=8.0, Pd=2.0, C=6.0). Formalizing human values for ASI. Calculation: (0.25×9.5)+(0.25×7.0)+(0.10×8.0)+(0.15×8.5)+(0.15×7.0)+(0.10×8.0)-(0.25×2.0)-(0.10×6.0)=6.95.
Description: Theoretical frameworks for operationalizing human values.
CHAI Value Learning Score (7.8/10)
Technical specification of preferences.
FHI Moral Uncertainty Score (7.2/10)
Decision-theoretic approaches.
Russell's Cooperative AI Score (6.5/10)
Inverse reinforcement learning foundations.
AI-Assisted Alignment
Total Score (7.20/10)
Parameters: (I=9.8, F=7.5, U=8.5, Sc=9.0, A=7.0, Su=8.5, Pd=2.5, C=6.0). Accelerating research via AI tools. Calculation: (0.25×9.8)+(0.25×7.5)+(0.10×8.5)+(0.15×9.0)+(0.15×7.0)+(0.10×8.5)-(0.25×2.5)-(0.10×6.0)=7.20.
Description: Using AI systems to automate alignment research.
OpenAI Autoalignment Score (8.0/10)
Language models for alignment tasks.
DeepMind Gemini Tools Score (7.6/10)
Automated theorem proving.
Anthropic Research Assistant Score (7.1/10)
Scalable oversight prototyping.
C
AI Regulation & Governance
Total Score (5.61/10)
Parameters: (I=9.0, F=6.2, U=6.0, Sc=7.8, A=7.5, Su=7.2, Pd=3.8, C=8.5). Fragile implementation challenges. Calculation: (0.25×9.0)+(0.25×6.2)+(0.10×6.0)+(0.15×7.8)+(0.15×7.5)+(0.10×7.2)-(0.25×3.8)-(0.10×8.5)=5.61.
Description: International frameworks for ASI coordination.
GPI Treaties Score (6.5/10)
Model international agreements.
CSER Governance Forum Score (6.2/10)
Multilateral policy development.
Pause AI Campaign Score (5.8/10)
Coordination for development moratoria.
D
Anthropic Value Learning
Total Score (4.49/10)
Parameters: (I=7.5, F=5.8, U=6.2, Sc=6.5, A=5.0, Su=6.5, Pd=4.2, C=7.8). Limited generalization scope. Calculation: (0.25×7.5)+(0.25×5.8)+(0.10×6.2)+(0.15×6.5)+(0.15×5.0)+(0.10×6.5)-(0.25×4.2)-(0.10×7.8)=4.49.
Description: Empirical value extraction via conversational interfaces.
Constitutional AI v2 Score (5.5/10)
Rule-based value elicitation.
E
Post-Hoc Alignment
Total Score (1.89/10)
Parameters: (I=4.8, F=6.2, U=3.0, Sc=3.8, A=2.2, Su=3.0, Pd=7.5, C=4.8). Reactive failure mitigation. Calculation: (0.25×4.8)+(0.25×6.2)+(0.10×3.0)+(0.15×3.8)+(0.15×2.2)+(0.10×3.0)-(0.25×7.5)-(0.10×4.8)=1.89.
Description: Correcting alignment failures post-deployment.
RLHF Fine-Tuning Score (4.2/10)
Post-training behavioral adjustment.
F
Capability Accelerationism
Total Score (-3.30/10)
Parameters: (I=0.1, F=0.5, U=0.1, Sc=0.1, A=0.1, Su=0.1, Pd=10.0, C=10.0). Existential negligence. Calculation: (0.25×0.1)+(0.25×0.5)+(0.10×0.1)+(0.15×0.1)+(0.15×0.1)+(0.10×0.1)-(0.25×10.0)-(0.10×10.0)=-3.30.
Description: Reckless pursuit of capabilities without safety measures.
Unrestricted Code Synthesis Score (0.5/10)
Autonomous capability development.