Explained
guides, explainers and opinion for the AI-curious
A Community of 200 Researchers Just Gave Two Free AI Models Eyes and Ears
Project Apertus has released version 1.5 of its open, free-to-download AI models. They can now understand images and audio, think through hard problems, and read documents four times longer than before.
Running AI on Your Own Computer Is Getting Easier. Here Is What to Expect.
Privacy concerns are pushing more people toward local AI, software that runs entirely on your own machine instead of the cloud. The experience is genuinely promising and genuinely rough around the edges.
AI Agents Could Soon Tidy Up Their Own Memory Mid-Task
A new system from Apple ML Research lets an AI agent decide for itself when to compress its own working memory, stopping it from forgetting important details at the worst possible moment.
AI Translation Judges Struggle With the Same Errors Human Reviewers Do
A new study from Apple ML Research finds that large language models are only a partial replacement for human graders when checking the quality of machine-translated text, with both groups stumbling on the same hard cases.
A $16 AI Training Run Built Six Models Nobody Had Made Yet
A Hugging Face tool called ML Intern let one developer train, evaluate and publish six specialist AI models in a couple of days, spending less than the cost of a restaurant meal.
Apple researchers built a smarter way to train AI agents. Here is why the boring details matter.
A new training method from Apple ML Research teaches AI agents to focus on the lessons they have not learned yet, skipping exercises that are too easy or too hard. It's quietly important for anyone who cares about where general-purpose AI is heading.
Google's new EmbeddingGemma 2 crams search for text, images, audio and video onto a phone
The 740-million-parameter open model from Google DeepMind runs offline, under 600MB of RAM on a Pixel 11 Pro.
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.
The Better AI Behaves, the Worse It Writes
Researchers have found a sharp tension at the heart of AI language tools: the better you control what a chatbot says, the more likely it is to start talking gibberish. Here's what that means for the apps you use every day.
Hugging Face Can Now Rank Every Open-Source Voice AI in Hours
More than 8,000 text-to-speech models exist, but testing them has always taken too long. A new automated scorecard changes that, and puts open-source voices on equal footing for the first time.
When AI talks to AI, how much meaning survives the journey?
New research from Apple ML Research ran a controlled test to see how well language models pass precise information through plain words. The results expose a gap that matters for anyone building AI systems that need to work together.
Apple Researchers Found a Smarter Way to Train Voice AI on Your Private Data Without Seeing It
A new technique from Apple ML Research could close the accuracy gap in speech recognition that learns from your device without your audio ever leaving it.
Hugging Face Lets You Run Compressed AI Models on Your Mac With One Line of Code
Hugging Face has built GGUF support into its Transformers library, letting Apple Silicon Mac users load and run lightweight AI models at speeds matching dedicated local-AI apps, no special setup required.
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.
Could AI Actually Wipe Out Humanity? Scientists Inside the Labs Think It Might
Workers at the world's top AI companies are raising a genuinely alarming alarm. MIT Technology Review sat three of its editors down to ask whether the fear has any basis in fact.