The only AI glossary you’ll need this year
TL;DR
TechCrunch updated its AI glossary on July 3, 2026; the older April link now redirects to the newer version. The piece explains terms that keep showing up in product meetings, pitch decks, and AI debates. The list covers AGI, AI agents, coding agents, API endpoints, compute, tokens, inference, training, MCP, Mixture of Experts, distillation, fine-tuning, and validation loss.
Nauti's Take
A good glossary can save more time than another model demo if a team actually uses it. The value is not memorizing every term, but spotting nonsense faster: what happens inside the model, what runs through tools, what burns compute, and what still carries risk?
TechCrunch gives readers a solid base. The AInauten rule: test every new term against a real workflow before trusting the vendor slide.
Briefingshow
AI language is now part of the buying process. If teams blur terms like agent, token throughput, or MCP, they can end up buying roadmaps instead of real capabilities. The glossary helps by pulling technical buzzwords back into practical meaning.
For teams, it is a starting point for sharper vendor questions, not the final answer.
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