Continuously updated · AI Dictionary
The language of AI,
clearly defined.
A field guide to the words changing how we build, work and think—from token and transformer to AI agents and vibe coding.
482 terms
10 topics
1847–2026 timeline
Built as a living reference
Clear words. Useful context.
01
Plain English firstThe definition comes before the jargon.
02
Usage over hypeEstablished meanings are separated from new or informal ones.
03
Show the trailSources appear on entries as they are reviewed.
Latest update · October 2026
New in the AI Dictionary
Fresh language for the newest shifts in AI, explained without the jargon.
agentic safety
the field of making AI agents safe to deploy when they can plan, use tools, access data, and take multi-step actions, including controls for permissions, monitoring, containment, verification, and human intervention
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process reward model
a reward model that scores individual steps or intermediate states in a model's reasoning process instead of judging only the final answer
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in-context reinforcement learning
the ability of a sequence model or agent to improve its behavior during interaction by using earlier observations, actions, and rewards in its context, without updating the model's parameters
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AI tokenomics
the measurement and management of how AI tokens are produced, consumed, priced, and converted into useful or commercial outcomes, including token demand, infrastructure capacity, cost per token, and value per task
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