Oso highlights the need for better security frameworks in AI agent systems.

Everyone's talking about AI agents but most can't explain how they actually work. A friend texted me saying "I feel like nobody uses agents the way they're being hyped." She's right. The excitement ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

Agents could make it easier and cheaper for criminals to hack systems at scale. We need to be ready. Agents are the talk of the AI industry—they’re capable of planning, reasoning, and executing ...

The AI industry is obsessed with scale—bigger models, more parameters, higher costs—the assumption being that more always equals better. Today, small language models (SLM) are turning that assumption ...

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

Modern computing systems rely heavily on operating-system schedulers to allocate CPU time fairly and efficiently. Yet many of these schedulers operate blindly with respect to the meaning of workloads: ...

ETH Zurich and EPFL’s open-weight LLM offers a transparent alternative to black-box AI built on green compute and set for public release. Large language models (LLMs), which are neural networks that ...