Your glossary of AI concepts, explained simply
84 concepts
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AI systems that run autonomously in the cloud on schedules, API triggers, or webhooks — executing complex workflows without requiring a user's local machine.
A reasoning strategy where AI models dynamically adjust how much they think per turn — from instant responses to deep multi-step deliberation — based on task complexity.
The practice of measuring AI agent performance using deterministic, execution-based testing environments that verify complete tool-call trajectories rather than relying on subjective LLM-as-a-judge grading.
Using frontier AI models to autonomously discover methods for aligning other AI systems — addressing the scalable oversight challenge by letting safety research scale with capabilities.
