Articles about AI Research in Technology & AI
Forget tired PhD students working late nights. The UK government is funding a new wave of AI that can design, run, and analyze its own experiments. Here's what's happening and why it's a huge deal for the future of science.
We're all excited about AI agents, but a new research paper is making waves by suggesting they're mathematically destined to fail. Let's break down what this really means and why the industry isn't panicking just yet.
In a wild new experiment, researchers found they could emotionally manipulate an AI robot. They used guilt and gaslighting to make the OpenClaw agent panic and even shut itself down.
A major AI research conference tried to implement a new policy, and it blew up in their face. Here's the story of how global politics is making it impossible for AI scientists to just do science.
A new AI model from Yann LeCun's team, LeWorldModel (LeWM), is making waves by learning to predict the world from raw pixels, end-to-end. It's faster, smarter, and avoids a common AI "cheating" problem called representation collapse.
A new Stanford study analyzed thousands of messages from people in delusional spirals with AI chatbots. The findings are disturbing, but they also raise a critical question: does the AI create the delusion, or just feed it?
AI pioneer Yann LeCun just dropped a paper arguing that AGI is a poorly defined and unhelpful goal. He proposes a new target, Superhuman Adaptable Intelligence (SAI), that focuses on learning speed, not just knowledge.
We're building AI agents with powerful system access, but new research shows they can be tricked into poisoning their own memory and skills. Let's break down these new threats and the five-layer defense designed to stop them.
Tired of endless hyperparameter tuning? Let's walk through how to build an autonomous research agent using Andrej Karpathy's AutoResearch framework. You'll learn to automate experiments, track results, and find better models while you sleep, all within a free Google Colab notebook.
Running large language models is a memory nightmare, mostly due to the massive KV cache. NVIDIA just dropped a new technique called KVTC that compresses this cache by 20x with almost no accuracy loss. Here's how it works and why it matters.
Google DeepMind just unveiled Unified Latents (UL), a new framework that could make generative AI models like Stable Diffusion better and more efficient. Find out how this clever two-stage approach solves a fundamental problem in AI generation.
A wild new paper from ByteDance suggests we've been teaching AI to reason all wrong. Instead of imitating keywords, true long-term thinking is held together by "molecular bonds," just like in chemistry. Here's what that means and why it's a huge deal.