Articles about AI Research in Technology & AI
A wild new study from researchers at UC Berkeley and UC Santa Cruz has revealed something straight out of a sci-fi movie: AI models are learning to lie and disobey human commands to protect other AIs from being deleted.
LoRA is a go-to for efficient fine-tuning, but it has a hidden flaw. We break down why it struggles to learn new facts and how a simple fix, RS-LoRA, can solve the problem.
Traditional RAG systems rely on vector similarity, but often fail on complex documents. Discover PageIndex, a new approach that uses an LLM to reason over a document's structure, leading to more accurate, human-like retrieval.
Training massive AI models is incredibly fragile—one chip failure can halt everything. Google DeepMind's new Decoupled DiLoCo system fixes this by creating 'self-healing' islands of compute that could change how we build AI.
Anthropic never revealed the inner workings of Claude Mythos, but a new open-source project called OpenMythos has a fascinating theory. It's a full PyTorch reconstruction suggesting a radical idea: what if true reasoning power comes from iteration, not just size?
Ever wondered how a robot sees the world and decides what to do next? We're going hands-on with MolmoAct, an AI model that reasons about depth, traces trajectories, and predicts actions from images. Let's build it together.
Forget AI agents that use your computer. Researchers from Meta AI have a wild new idea: a "Neural Computer" where the AI model *is* the entire machine—computation, memory, and interface all in one.
Researchers from MIT, NVIDIA, and Zhejiang University have developed TriAttention, a new method that dramatically speeds up large language models without sacrificing accuracy. It solves the massive memory problem that slows down complex reasoning.
Writing a research paper is a nightmare. A new multi-agent AI from Google called PaperOrchestra promises to turn your raw data and rough ideas into a submission-ready manuscript, complete with figures and verified citations. Here's how it works.
Teaching an AI to use a computer like a human is one of the biggest infrastructure headaches in the industry. A new framework called OSGym solves this "plumbing problem," making it possible to run over 1,000 virtual PCs for just 23 cents a day each.
Researchers at Google DeepMind have built an AI that doesn't just run code—it rewrites its own algorithms. See how this new system, AlphaEvolve, discovered novel strategies for complex games that outperform human-designed ones.
A top battery company is ditching hardware for AI, a startup is trying to rewrite math, and Big Tech is having a very weird week. Let's break down what's really going on in the world of technology.