What Is Artificial General Intelligence? What AGI Actually Means
AGI is one of the most important and least consistently defined terms in artificial intelligence. The disagreement is not just about when it arrives, but what would count.
AGI is one of the most important and least consistently defined terms in artificial intelligence. The disagreement is not just about when it arrives, but what would count.
Multimodal AI can work across text, images, audio, video and other forms of information. That makes it more useful, but also changes what we should expect from AI systems.
Large language models power many of today’s AI assistants, but the basic idea is less mysterious than the results can make it seem. Here is what an LLM actually does.
The frontier-model race is no longer just about making AI bigger. Reasoning, multimodality, tool use, efficiency and agentic execution are becoming the new battlegrounds.
AI coding tools are lowering the barrier between an idea and working software. You still need judgment, testing and a basic understanding of what you are building, but you no longer need years of programming experience to get started.
The future of AI is rarely announced in one dramatic moment. It arrives as a collection of smaller signals: cheaper intelligence, more capable agents, new kinds of software creation, changing work boundaries and a growing physical infrastructure beneath it all.
The next AI winners may not be the companies building the biggest models. Some of the most interesting businesses are building around the new bottlenecks AI has created, from coding and training data to infrastructure and agentic software.
The AI era has no single architect. It is being shaped by researchers, founders and infrastructure builders who are making different bets about what intelligence should become, who should control it and how quickly it should reach the rest of us.
AI assistants increasingly promise to remember our lives, organize our work and save us from digital busywork. The technology is becoming considerably more capable. Whether human beings use all that capability sensibly is another question.
AI agents are moving automation beyond simple rules and into work that requires decisions, context, and multiple steps. The technology is real, but the distance between a useful agent and an employee you can forget about remains considerable.