Artificial Intelligence (AI) is transforming the world at a dizzying pace. Yet amidst its rapid evolution comes an equally perplexing language. From AGI to chain-of-thought reasoning, this glossary demystifies terms that can leave even seasoned tech experts feeling out of their depth.

AGI stands for Artificial General Intelligence, a term so nebulous it could describe anything from Sam Altman’s co-worker-swap to Google DeepMind’s autonomous systems. Essentially, AGI aims to match or surpass human capabilities in various tasks—but what exactly that means is open to interpretation.

An AI agent, on the other hand, is designed to handle a variety of tasks, from filing expenses to writing code—potentially even better than humans in many areas. However, the concept remains fluid as developers continue to build out the infrastructure necessary for such autonomous systems.

API endpoints function like buttons that allow software programs to communicate and perform actions effortlessly. As AI agents grow more capable, they can find and use these hidden interfaces on their own, leading to powerful automation possibilities.

The process of chain-of-thought reasoning in large language models involves breaking down problems into smaller steps to achieve a more accurate result. This technique is crucial for logical and coding tasks where multiple intermediary steps are necessary.