Our collection of expert insights

Theory of Mind is the ability to understand that other people have their own thoughts, feelings, and perspectives that might be different from your own. It’s like realizing that just because you like chocolate ice cream doesn’t mean everyone else does too. Think of it this way: Imagine you’re playing a game with a friend.

Neural Networks are like a group of very smart friends who work together to solve a problem. Each friend is good at understanding a small part of the problem, and when they combine their knowledge, they can figure out really complex things. Think of it this way: Imagine you’re trying to solve a big jigsaw

An algorithm is like a recipe for a computer. Just like a recipe tells you step-by-step how to make a cake, an algorithm tells a computer step-by-step how to solve a problem or complete a task. For example, think about making a sandwich. The steps might be: Take out two slices of bread. Spread peanut

Data Science is like being a detective for numbers and information. Imagine you have a big box full of puzzle pieces, but instead of making a picture, these pieces are bits of information from different sources, like websites, surveys, or sensors. A data scientist is like a detective who digs through all these pieces to

Artificial General Intelligence, or AGI, is like creating a computer that can think and learn just like a human, not just in specific tasks but in a wide range of activities. Imagine you have a really smart robot that can do anything a person can do. It can learn to play chess, write stories, solve

Artificial Intelligence, or AI, is like giving a computer a brain so it can think and learn like a human. Imagine you have a toy robot. Normally, you have to control everything it does with a remote. But with AI, it’s like giving the robot the ability to understand its surroundings and make decisions on

A Generative Pre-trained Transformer, or GPT, is like a very smart robot that can read and write like a human. It’s been trained by reading a huge amount of text from books, websites, and other sources, so it knows a lot about language and how to use it. Imagine you have a robot that has

Machine Learning, or ML, is like teaching a computer how to learn from experience, just like how you learn new things over time. Think about how you learned to ride a bike. At first, you might have fallen a few times, but with practice, you got better because you learned from your mistakes. Machine Learning

A Large Language Model, or LLM, is like a super-smart computer program that can understand and generate human language. Think of it as a very clever robot that can read, write, and even have conversations with you. Imagine you have a giant library with millions of books. An LLM has read all those books and

A Transformer is like a super-smart organizer for information, especially language. Imagine you have a giant jigsaw puzzle with thousands of pieces, and you need to put it together. A Transformer helps by looking at all the pieces at once and figuring out how they fit together quickly and efficiently. Think of it like a

Big Data is like having a giant pile of puzzle pieces, but instead of making one picture, these pieces come from many different puzzles. There’s a lot of information in this pile, and it’s too much for a regular person to sort through by themselves. Imagine you run a big library, and every day, thousands

Artificial Narrow Intelligence, or ANI, is like a really smart robot that is very good at doing one specific thing. Think of a calculator. It’s amazing at math and can solve problems quickly, but that’s all it can do. It can’t play music, make you a sandwich, or tell you a story. It’s focused on