The 7 Types of AI Agents

In this episode of The AI Daily Brief, Nathaniel Whittemore discusses Meta poaching Apple's head of AI models and the talent war in the AI industry, highlighting the increasing stock compensation at OpenAI. The episode also covers Cursor's apology for unclear pricing changes that led to user bill shock and CoreWeave's acquisition of Core Scientific for $9 billion, reflecting the intense demand for AI capacity. Whittemore then dives into the different types of AI agents, categorizing them by functionality (simple reflex, model-based reflex, goal-based, learning, utility-based, hierarchical, and multi-agent systems) and focus (business task, conversational, research, analytics, developer, and domain-specific agents), emphasizing the importance of understanding these categories for effective agent strategy and the shift towards comprehensive agentic systems.