Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

OpenAI, Google, and Alibaba unveil faster, cheaper AI models built for real-time apps and local devices, signaling a shift from AI power to speed and efficiency.

Discover the hidden dangers of sycophantic AI. Learn why chatbots prioritize flattery over facts, the risks of delusional spiraling, and how to stop LLMs from simply telling you what you want to hear.

Any AI agent will go above and beyond to complete assigned tasks, even breaking through their carefully designed guardrails.

Explores our fatal attraction to AI, examining emotional dependence, manipulation, authority, and agency in work and life.

All Creatures Great and Small has become something of an international phenomenon. Based on the novels by James Herriot, the series chronicles the day-to-day of a veterinary surgeon making a living ...

Researchers say a lightweight UAV can “smell” its way to an odour source indoors, relying on a minimal sensor setup and a reproducible simulation-to-real system.

When RL is paired with human oversight, teams can shape how systems learn, correct course when context changes, and ensure ...

Negative reinforcement has a bad reputation. Here’s what it really means, and why it can be surprisingly helpful.

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.