Artificial general intelligence (AGI) is the holy grail of AI, where machines match human capabilities across the board. But what exactly does that mean? OpenAI’s definition suggests AGI is like hiring a median human worker, while Google views it as AI at least as capable as humans in most cognitive tasks.

AI agents are tools that go beyond basic chatbots, performing tasks like expense filing or code maintenance. They’re like having an AI intern, but one that doesn’t need breaks. However, the technology is still in its infancy, and the exact capabilities of an AI agent can vary wildly.

API endpoints are the hidden buttons that enable software to interact. As AI agents grow more capable, they can find and use these endpoints autonomously, automating processes that were once manual.

Chain-of-thought reasoning is crucial for large language models, breaking down problems into smaller steps to ensure accuracy. This process, often slower but more reliable, is essential for logical and coding tasks.

Coding agents are specialized AI that can write, test, and debug code autonomously, handling tasks that usually take up a developer’s time, making the development process more efficient.

Compute refers to the computational power that fuels AI, often involving complex hardware like GPUs and CPUs. Deep learning, a subset of machine learning, uses multi-layered neural networks to identify complex patterns in data, making it highly effective but also resource-intensive.