#AI explained
30 stories taggedAI explained.
Apple Researchers Let Ordinary People Train Their Own AI Models. What They Found Was Surprising.
A new Apple ML Research study gave people real control over personalised AI, then watched what happened when the system's assumptions didn't match their lives.
Drowning in AI Hype and Doom? Here Is How to Actually Make Sense of It
Between staff resignations warning of extinction and stock prices hitting record highs, it's genuinely hard to know what to think about AI. A few solid books help more than another news cycle.
Why AI Agents Guzzle So Much More Power Than a Simple Chatbot
AI is shifting from quick questions and answers to agents that run for hours on their own. That shift explains the data-centre building boom, and a growing energy bill.
A 10% Chance AI Ends Humanity? What the Warnings Actually Mean
Prominent AI developers are resigning and warning of extinction-level risk. Here is what is really being said, and whether ordinary people should be alarmed.
Apple Researchers Built a Better Way to Judge AI Video Captions
A new method from Apple ML Research scores video captions on what they actually get right, not just whether they use the same words as a human writer.
The AI Jargon Glossary You Actually Need: From AGI to Diffusion, Explained Plainly
Words like 'LLM', 'RAG' and 'chain of thought' fly around every AI conversation. Here's what they actually mean, in plain English, with no background required.
Are warnings about uncontrollable AI finally coming true?
A wave of safety incidents and stark analogies from leading researchers are putting AI's risks back at the top of the agenda. Here is what ordinary people need to know.
Why AI-Generated Food Looks So Wrong (and So Revolting)
Restaurants and cafés are using AI image tools to promote their menus. The results, noodly, holey, deeply unsettling, are not winning any appetites. Here is the science behind why.
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
Two letters in The Guardian make 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 out.
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.