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AI Capabilities

Overview

This section documents the evolving capabilities of AI systems and their implications for safety. Understanding what AI can do—and what it might soon be able to do—is essential for anticipating risks and designing appropriate safeguards.

Capability Domains

Core Capabilities

  • Language Models - Text generation and understanding
  • Reasoning - Multi-step logical inference
  • Coding - Software development assistance

Emerging Capabilities

  • Agentic AI - Autonomous goal-directed behavior
  • Long-Horizon Planning - Extended strategic reasoning
  • Tool Use - Interfacing with external systems

Safety-Critical Capabilities

  • Situational Awareness - Understanding of own context
  • Self-Improvement - Recursive capability enhancement
  • Persuasion - Influencing human decisions

Applied Capabilities

  • Scientific Research - Accelerating discovery
  • Persuasion - Influence and manipulation potential

Why Capabilities Matter for Safety

Capability levels determine:

  • Which risks become active - Many risks only emerge at certain capability thresholds
  • How much time remains - Faster capability growth compresses safety timelines
  • What interventions are viable - Some approaches only work before certain capabilities emerge

Capability Profiles Include

  • Current state - What models can do today
  • Trajectory - How capability is improving
  • Safety implications - What risks this enables
  • Measurement approaches - How to evaluate this capability

Related Pages

Top Related Pages

Concepts

Self-Improvement and Recursive EnhancementLong-Horizon Autonomous TasksLarge Language ModelsAutonomous CodingPersuasion and Social Manipulation