#AI explained
22 stories taggedAI explained.
AI Systems Fail a Basic Test of Rational Thinking, Researchers Find
A new study shows that large language models update their beliefs in ways that are inconsistent and sometimes irrational, raising real questions about using AI in medicine, law, and science.
Readers Remind Us: The Terminator Warned About AI Back in 1984
A pair of letters in The Guardian spark a quiet but pointed observation: decades before today's AI anxiety, a cold-war research group and a Hollywood robot both saw this coming.
Will AI replace mathematicians? Probably not yet, say experts
About 40 top mathematicians met at OpenAI's offices this month to talk about their profession's future. The mood was worried. The evidence, though, tells a more complicated story.
The man who helped build modern AI now worries he made a mistake
Geoffrey Hinton spent decades teaching machines to think like brains. A new podcast series revisits his story and asks what happens when the technology outgrows its creators.
Apple's AI Lab Ran 2,000 Training Experiments to Crack a Problem Every AI Builder Faces
How do you teach an AI model about a rare language or niche subject when there is barely any text to learn from? Apple ML Research spent thousands of runs finding the answer.
Why AI Agents Struggle to Search: The Hidden Maths Problem Slowing Them Down
Researchers at Apple ML Research found that the way AI agents hunt through text can hit a hard mathematical wall. Here is what that means for the tools you use every day.
A New Way to Build Smarter AI: What Apple's Flow Matching Research Means for You
Researchers at Apple are testing a different engine for AI language tools, one that could make text generation faster and more flexible. Here is what it is and why it matters.
Are We Already Addicted to AI Chatbots? One YouTuber's Confession Opens a Bigger Question
Hank Green admitted his AI use felt 'not healthy.' Researchers say he probably isn't alone, and the science to explain why is only just beginning.
GraphRAG vs. plain RAG: the honest scorecard
A knowledge graph can make AI answers far better, but only for certain questions, and the indexing bill can shock you. Here is what five studies actually found.
What is open-source AI and how is it different?
Open-source AI puts the model's blueprints in your hands. Here's what that actually means and why it matters.
What is the difference between machine learning and deep learning? A plain-English guide
One is the broad field, the other is a powerful technique inside it. Here is exactly how they relate.
What are AI hallucinations and why do they happen?
AI hallucinations are confident-sounding wrong answers. Here is why they slip through and what you can do about them.
What is an AI agent? A plain-English guide
AI agents are programs that can set their own mini-goals and take actions in the world, not just answer a question and stop.
How do AI image generators actually work? A plain-English guide
From typed words to finished artwork in seconds: here is what is actually happening inside the machine.
What is AGI, and how close are we to it?
AGI means a machine that can learn and do almost any intellectual task a human can. Nobody has built one yet, but the debate about how close we are is very much alive.