Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language.

Many CISOs confessed they are grappling with flat or reduced budgets, indicating a growing challenge in the industry.

Monitoring Analytics’ latest quarterly report recommends requiring large data centers to provide their own power generation.

The North American data center market is facing record demand but also long grid delays, with only short-term workarounds available until new capacity comes online, according to JLL.

How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still essential in the age of gen AI.

Morris found it could also reproduce verbatim passages from copyrighted works, including three out of six book excerpts he tried.

As AI demands unprecedented computing power, Altman's trillion-dollar vision could reshape global tech infrastructure economics.

Understanding data center yield on cost calculations is crucial for investors seeking to evaluate potential returns on these capital-intensive infrastructure projects.

New research reveals open-source AI models use up to 10 times more computing resources than closed alternatives, potentially negating cost advantages for enterprise deployments.

While OpenAI’s GPT-5 is highly-performant, capable and an important step forward, it features just faint glimmers of true agentic AI.