So you've heard these AI terms and nodded along; let's fix that | TechCrunch

AGI generally refers to AI that is more capable than the average human across many or most tasks, with definitions varying by organization. One view frames AGI as the equivalent of a median human hired as a coworker, another defines it as highly autonomous systems that outperform humans at most economically valuable work, and a third describes it as at least as capable as humans at most cognitive tasks. An AI agent is an AI-powered tool that performs a series of tasks on a user’s behalf, such as handling expenses, booking, or writing and maintaining code, often using multiple AI systems for multistep work. API endpoints function like buttons that other programs can press to trigger actions, enabling developer integrations that pull or exchange data between applications.

"Artificial general intelligence, or AGI, is a nebulous term. But it generally refers to AI that's more capable than the average human at many, if not most, tasks. OpenAI CEO Sam Altman once described AGI as the "equivalent of a median human that you could hire as a co-worker." Meanwhile, OpenAI's charter defines AGI as "highly autonomous systems that outperform humans at most economically valuable work." Google DeepMind's understanding differs slightly from these two definitions; the lab views AGI as "AI that's at least as capable as humans at most cognitive tasks.""

"An AI agent refers to a tool that uses AI technologies to perform a series of tasks on your behalf - beyond what a more basic AI chatbot could do - such as filing expenses, booking tickets or a table at a restaurant, or even writing and maintaining code. However, as we've explained before, there are lots of moving pieces in this emergent space, so "AI agent" might mean different things to different people. Infrastructure is also still being built out to deliver on its envisaged capabilities. But the basic concept implies an autonomous system that may draw on multiple AI systems to carry out multistep tasks."

"Think of API endpoints as "buttons" on the back of a piece of software that other programs can press to make it do things. Developers use these interfaces to build integrations - for example, allowing one application to pull data from another application, or to trigger actions in a different system."

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