Not long ago, I watched two promising AI initiatives collapse—not because the models failed but because the economics did. In one case, an organization proudly launched an agentic AI system into ...

What problems are behind the emerging Saaspocalypse - the dominance of AI labs may mean that the B2B users will lose their ...

Yet another fun way to control my smart home hub ...

AI chatbot users have become alarmed by a growing problem with their responses. Bots like ChatGPT are answering the questions ...

Generic formats like JSON or XML are easier to version than forms. However, they were not originally intended to be ...

At its .NEXT conference, Nutanix had a whole series of product announcements regarding AI infrastructure and Kubernetes ready ...

At the core of these advancements lies the concept of tokenization — a fundamental process that dictates how user inputs are interpreted, processed and ultimately billed. Understanding tokenization is ...

Claude, Anthropic's AI model, has an XRP prediction that puts it in opposition to some other large language models (LLM).

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

Zapier reports that context engineering is crucial for AI effectiveness, ensuring relevant information guides responses ...

Claude research suggests functional emotions shape AI behavior, without proving subjective feelings or consciousness.

By 2030, performing inference on a large language model (LLM) with 1-trillion parameters will cost GenAI providers over 90% less than it did in 2025, according to Gartner. AI tokens are the units of ...