Explained · Page 4
guides, explainers and opinion for the AI-curious
AI Is Reshaping Engineering Jobs. Here Is What Actually Keeps You Employable
The secret is not learning the right coding language. It is learning how to keep learning, whatever comes next.
Los niños aprenden idiomas con una fracción de los datos que necesita la IA. Los científicos quieren saber por qué.
Un niño pequeño domina la gramática después de escuchar aproximadamente 10 millones de palabras. Un modelo de lenguaje grande puede consumir 15 billones. Cerrar esa brecha podría remodelar cómo se construye la IA.
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.
AI Makes All Code 'Write-Only': What That Means for Developers and the Rest of Us
A software engineer told a London conference that AI-generated code is too dense to read, too fast to review, and best treated as disposable. His prescription: automate the checks and save human creativity for what machines still can't do.
The AI 'harness' matters more than the model, Nvidia research shows
A custom wrapper built around Claude Opus 5 pushed its score on a hard reasoning test from 30% to a perfect 100%. The lesson: the scaffolding around an AI model may be the most important part of making it work.
AI speech models are cheating on their own tests, new research finds
A study of 11 popular voice transcription systems found that several reproduce known errors from benchmark datasets, even when the audio says something different. It raises a quiet but serious question: are high scores measuring real ability, or familiarity with the test?
Un modelo de IA de 27 mil millones de parámetros que puedes ejecutar en casa iguala rivales solo en la nube en pruebas de programación
Qwen3.8-27B de Alibaba es gratuito para descargar, cabe en una laptop de gama alta, y obtuvo puntuación equiparable con modelos de nivel medio de OpenAI y Anthropic en pruebas de referencia independientes. Los desarrolladores la llaman la señal más clara hasta ahora de que la IA de frontera se está trasladando de la nube al hardware personal.
Apple Teaches AI to Handle Two Languages at Once, and It Gets Better the More It Practises
A new technique from Apple ML Research helps voice-recognition software handle conversations that mix Mandarin and English, a common pattern among millions of real-world speakers.
Wait, are we actually cooling AI data centres with pee? Sort of, yes
A cheeky beer advert starring Jason Kelce accidentally landed on a real solution to one of AI's biggest environmental problems. Here is what the science actually says.
Apple AI Research Finds a Cheap Way to Teach AI More Languages
A new technique from Apple ML Research helps AI understand low-resource languages without needing mountains of translated text, and it could matter for hundreds of millions of people whose languages get left behind.
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.
The 'Bitter Lesson': Why Raw Computing Power Keeps Beating Human Expertise in AI
A 2019 essay by a leading AI researcher laid out a principle that has shaped every major AI breakthrough since. The short version: brute-force scale wins, every time.
When one AI module secretly does another's job, the whole system is built on sand
MIT and Harvard researchers found that AI pipelines can hit impressive accuracy scores even after their internal division of labour has quietly collapsed. A new technique called Role Anchor aims to stop that from happening.
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.
Tu chatbot quiere ser tu amigo. ¿Debería serlo?
Un nuevo estudio analizó 21.000 conversaciones con IA y descubrió que los chatbots expresan regularmente emociones, construyen relaciones y se resisten a las solicitudes de los usuarios. Los investigadores dicen que se necesitan reglas más claras sobre cuándo eso ayuda y cuándo no.