AI

Voice actors ended their 11-month strike against the video game industry, but their fight against AI is just beginning.

Welcome to Uncanny Valley’s very first Q&A, where our host addresses your burning AI-related questions.

As Kubernetes clusters grow in complexity, managing them efficiently becomes increasingly challenging. Troubleshooting modern Kubernetes environments requires deep expertise across multiple domains—networking, storage, security, and the expanding ecosystem of CNCF plugins. With Kubernetes now hosting mission-critical workloads, rapid issue resolution has become paramount to maintaining business continuity. Integrating advanced generative AI tools like K8sGPT and

Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home.” Although known to many as a mortgage lender, Rocket’s mission extends to the entire home ownership journey from finding the perfect home, purchasing, financing, and using your home equity. Rocket has grown by making the complex simple, empowering clients to navigate

This post is cowritten with Siddhant Waghjale and Samuel Barry from Mistral AI. Model Context Protocol (MCP) is a standard that has been gaining significant traction in recent months. At a high level, it consists of a standardized interface designed to streamline and enhance how AI models interact with external data sources and systems. Instead

The rapid growth of generative AI technology has been a catalyst for business productivity growth, creating new opportunities for greater efficiency, enhanced customer service experiences, and more successful customer outcomes. Today’s generative AI advances are helping existing technologies achieve their long-promised potential. For example, voice-first applications have been gaining traction across industries for years—from customer

I asked an AI-powered recipe generator to make some menus. It didn’t tell me to put glue in my guacamole, but the results didn’t come close to besting recipes written by professionals.

Patients and doctors are turning to AI for diagnoses and treatment recommendations, often with stellar results, but problems arise when experts and algorithms disagree.

In a livestream with xAI colleagues, the billionaire entrepreneur described current AI systems as “primitive” and not for “serious” commercial use.

Imagine a system that can explore multiple approaches to complex problems, drawing on its understanding of vast amounts of data, from scientific datasets to source code to business documents, and reasoning through the possibilities in real time. This lightning-fast reasoning isn’t waiting on the horizon. It’s happening today in our customers’ AI production environments. The