Advanced Reasoning Capabilities

• Chain-of-thought prompting enabling step-by-step reasoning processes
• Foundation models with larger context windows maintaining coherence over extended interactions
• Self-verification allowing agents to check their own work before taking action

Dynamic Tool Use

• Function calling capabilities for integration with external systems
• API orchestration enabling agents to leverage specialized services
• Web browsing for real-time information gathering
• Code generation and execution for solving novel problems

Adaptive Learning

• Reinforcement Learning from Human Feedback (RLHF) aligning agent behavior with human preferences
• Online learning allowing continuous improvement from new experiences
• Transfer learning applying knowledge from one domain to another
• Meta-learning or "learning to learn" for faster adaptation to new tasks

Memory and Planning

• Episodic memory storing past interactions for context
• Long-horizon planning breaking complex goals into achievable steps
• Hierarchical task decomposition managing nested objectives
• Backtracking and replanning when initial approaches fail

"By 2025, AI agents can plan, reason, use tools and perform tasks with increasing competence - for example, autonomously researching a topic online, synthesizing findings, and generating a report without explicit instructions for each step."