TechCrunch Updates AI Glossary With 30-Plus Terms for Jargon Clarity
Updated
Updated · TechCrunch · Jul 3
TechCrunch Updates AI Glossary With 30-Plus Terms for Jargon Clarity
3 articles · Updated · TechCrunch · Jul 3
Summary
TechCrunch refreshed a living AI glossary that explains more than 30 commonly used terms in plain English for readers, builders and investors trying to follow the fast-moving sector.
Key entries span headline concepts such as AGI, AI agents and LLMs, alongside technical building blocks including inference, training, fine-tuning, reinforcement learning and tokens.
The guide also tackles newer industry language such as MCP, mixture of experts and RAMageddon, while noting that some terms — especially AGI and AI agents — still lack settled definitions even among experts.
Regular updates position the glossary as a reference point for a field whose vocabulary is expanding almost as quickly as the technology itself.
With AI's autonomous power doubling every few months, are we on the verge of losing control over its development?
As AI agents access corporate data via new protocols, what is the single greatest emerging threat to enterprise security?
As China builds a rival to Nvidia's CUDA, is the AI world fracturing into two incompatible technology ecosystems?
TechCrunch’s 2026 AI Glossary: A Living Resource for Demystifying Artificial Intelligence Terminology
Overview
TechCrunch launched its updated AI glossary on July 3, 2026, to address the growing challenge of understanding artificial intelligence terminology. As AI rapidly changes the world and invents new vocabulary, terms like LLMs, RAG, and RLHF are now common in tech discussions, often leaving even experts feeling uncertain. This glossary is designed to be a clear, reliable resource that helps readers overcome the linguistic barrier created by the proliferation of complex AI terms. By providing plain-English definitions, TechCrunch aims to make AI concepts accessible and boost confidence across the tech community.