Artificial intelligence is everywhere, from streaming and chatbots to healthcare, finance, transportation, and education, transforming how we live and work. The article explains AI concepts, highlights key applications and risks, and stresses the importance of ethical, responsible AI use.

AI systems today make accurate predictions, but do they understand underlying principles well enough to generalize beyond their training tasks? Researchers at MIT’s LIDS and Harvard propose a new way to test whether predictive AI systems have developed 'world models'. Unfortunately, AI systems haven’t yet leapt from accurate prediction to true understanding of the world.

Remarkable insights about AI development in 2025, revealing massive growth and investment, significant business confidence in AI, increasing capability of AI but also broad and complex societal impact as well as some gaps in retraining the work force.

The latest chatbots differ from earlier ones by taking longer to solve problems. The reason is that they test different approaches and check their work, especially for math, science and programming. They are also built using reinforcement learning, where AI learns through trial and error while being given feedback, similarly to training a dog. This is considered a major advancement towards approaching human level intelligence.

A beginners’ A to Z brief guide to AI, covering its uses, generative AI, how apps like ChatGPT and Meta AI work, its environmental impact, its controversial nature of AI, and the current status of governing laws.

A beginner's guide of what are LLMs, how they work and their benefits and limitations.

Learn the basics of AI and how it's changing our world in this comprehensive beginner's guide.