TechCrunch Updates AI Glossary With 30-Plus Terms as Jargon Spreads Across AGI and Agents
Updated
Updated · TechCrunch · May 29
TechCrunch Updates AI Glossary With 30-Plus Terms as Jargon Spreads Across AGI and Agents
3 articles · Updated · TechCrunch · May 29
TechCrunch refreshed its AI glossary with more than 30 entries, positioning it as a living reference for readers navigating fast-changing terminology.
The update explains core concepts from AGI and AI agents to LLMs, inference, reinforcement learning and tokens, aiming to make technical coverage easier to follow.
Several entries stress that definitions remain unsettled: AGI varies across OpenAI, Google DeepMind and others, while "AI agent" can describe different levels of autonomy and infrastructure maturity.
The glossary also highlights practical stakes behind the jargon, including hallucinations, per-token pricing, compute demand, memory shortages and the open-versus-closed-source debate.
By framing the list as regularly updated, TechCrunch signals that AI vocabulary is still evolving alongside the systems, business models and risks it describes.
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Navigating the AI Terminology Surge: Why TechCrunch’s Living Glossary Matters in a $3.5 Trillion Market
Overview
TechCrunch has updated its AI glossary to keep up with the rapid advancements and daily emergence of new concepts in artificial intelligence. This living document is regularly revised, ensuring it remains a crucial and accurate resource for anyone navigating the increasingly complex terminology of the AI landscape. By continuously incorporating new terms and explanations, the glossary helps demystify AI jargon, making it accessible for both newcomers and industry professionals. TechCrunch’s commitment to ongoing updates highlights the importance of clear communication as AI technology evolves at a fast pace.