#AI explained
30 stories taggedAI explained.
Investigadores de Apple Permiten que Personas Ordinarias Entrenen Sus Propios Modelos de IA. Lo Que Descubrieron Fue Sorprendente.
Un nuevo estudio de Apple ML Research otorgó a las personas control real sobre IA personalizada, luego observó qué sucedía cuando los supuestos del sistema no coincidían con sus vidas.
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.
¿Una probabilidad del 10% de que la IA termine con la humanidad? Lo que realmente significan las advertencias
Destacados desarrolladores de IA están renunciando y advirtiendo sobre riesgo de extinción. Aquí se explica qué se está diciendo realmente y si la gente común debe estar alarmada.
Investigadores de Apple Crearon una Mejor Forma de Evaluar Subtítulos de Video de IA
Un nuevo método de Apple ML Research califica los subtítulos de video según lo que realmente capturan correctamente, no solo si utilizan las mismas palabras que un escritor humano.
El Glosario de Jerga de IA que Realmente Necesitas: De AGI a Difusión, Explicado Claramente
Palabras como 'LLM', 'RAG' y 'cadena de pensamiento' vuelan en cada conversación sobre IA. Aquí está lo que realmente significan, en inglés simple, sin necesidad de conocimientos previos.
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.
Una Nueva Forma de Construir IA Más Inteligente: Lo Que la Investigación Flow Matching de Apple Significa para Ti
Investigadores de Apple están probando un motor diferente para herramientas de lenguaje de IA que podría hacer que la generación de texto sea más rápida y flexible. Esto es lo que es y por qué importa.