A Plain-Language Glossary of Today's Most Talked-About Tech Terms

LLM, neural interface, tokenisation, sovereign cloud — tech jargon is everywhere. This reference defines the terms you'll keep encountering, clearly and concisely.

Why Tech Jargon Feels Like a Second Language

Terms like LLM, sovereign cloud, and agentic AI are appearing in mainstream news, workplace conversations, and product announcements at a pace that can feel overwhelming. Unlike everyday gadget vocabulary — the kind covered in our Everyday Gadget Glossary — these terms describe systems and movements that are reshaping entire industries.

Understanding them does not require a computer science degree. It requires clear definitions and a little context. This reference is organised around the terms you are most likely to encounter across news coverage, policy discussions, and the products entering your daily life. Use it as a lookup resource, not a reading-order document.

The Core Glossary

The twelve terms below represent the vocabulary most commonly appearing in tech reporting and public discourse. They span artificial intelligence, infrastructure, security, and hardware — the four broad areas driving most of today's major developments.

For terms that come up specifically in business and workplace contexts, our workplace glossary covers the professional development vocabulary that often intersects with technology decisions.

Putting the Terms in Context

Knowing a definition is only part of the picture. These terms connect to broader movements worth understanding:

• LLMs, tokenisation, inference, hallucination, open weights, multimodal AI, and agentic AI all belong to the AI cluster — they describe how modern AI systems are built, how they behave, and where their limitations lie. Agentic systems, in particular, represent a significant shift from AI as a tool you prompt to AI as a system that acts on your behalf.
• Sovereign cloud and zero-trust security sit in the infrastructure and policy space. As governments and organisations reassess where their data lives and who governs it, these concepts are appearing in legislation, procurement decisions, and IT strategy.
• Edge computing and digital twins underpin much of what makes physical-world automation — from smart manufacturing to connected vehicles — possible at scale.
• Neural interfaces remain largely in research and medical settings but are increasingly covered by mainstream outlets as the technology develops. Understanding the term helps you evaluate those reports critically.

If you want practical strategies for keeping up as these areas evolve, our guide to staying critically informed offers concrete habits for evaluating announcements without getting swept up in hype. The spatial web — augmented reality layers, 3D digital environments, and related concepts — is another area worth understanding; see our plain-language introduction to the spatial web for a grounded overview.