How LLM agents present AI software engineering workflows of the future, and whether the focus of programming will shift from ...

It looks like Anthropic is predicting that LLMs will eventually be able to do the vast majority of jobs in broad categories ...

A new suite of tools and services address need for high-quality domain-specific datasets and human feedback pipelines ...

As enterprises accelerate adoption of AI technologies, many are encountering a gap between early-stage prototypes and fully ...

Warnings from one of artificial intelligence’s most influential pioneers are colliding with a harsh business reality: most corporate AI projects already fail. When the so‑called “godfather of AI” ...

In the context of LLM-powered applications, observability extends far beyond uptime or system health; it is about gaining ...

Google parent company Alphabet has already emerged as a leader in the AI market, but its Project Mariner prototype is ...

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.

KubeCon Europe 2026 made AI inference its central focus with major CNCF donations including llm-d, Nvidia's GPU DRA driver ...

Novee has introduced AI Red Teaming for LLM Applications, an autonomous security testing capability built into its AI ...

Intel's AI-related software has been getting better, but it's still not great.