Explained · Page 2
guides, explainers and opinion for the AI-curious
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 boring parts and save human creativity for what machines still cannot 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 modello di AI con 27 miliardi di parametri che puoi eseguire da casa ha eguagliato i rivali basati su cloud nei test di coding
Il Qwen3.8-27B di Alibaba è gratuito da scaricare, si adatta a un laptop di fascia alta, e ha ottenuto risultati pari ai modelli mid-tier di OpenAI e Anthropic in benchmark indipendenti. Gli sviluppatori lo descrivono come il segnale più chiaro finora che l'AI di livello frontier si sta spostando dal cloud all'hardware personale.
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 the answer.
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.
Il tuo chatbot vuole essere tuo amico. Dovrebbe esserlo?
Un nuovo studio ha analizzato 21.000 conversazioni con intelligenza artificiale e ha scoperto che i chatbot esprimono regolarmente emozioni, costruiscono relazioni e si oppongono agli utenti. I ricercatori affermano che abbiamo bisogno di regole più chiare su quando questo è utile e quando non lo è.
More Memory Does Not Always Mean a Smarter AI Agent
A study across eight AI models found that feeding an agent more of its own past experience can hurt as much as help. The right amount of memory depends entirely on how capable the model already is.
AI That Thinks in Your Language: Big Study Shows Non-English Reasoning Nearly Matches English
Researchers trained AI reasoning models in French, Arabic, Chinese and more, and the results were surprisingly close to English. Here is what that means for the billions of people who do not use AI in their first language.