Studies comparing digital services have estimated that a single generative AI query can consume several times more ...

While dismissing criticism over the massive water consumption by AI data centres, Altman noted that concerns about the ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks ...

Sam Altman’s comments dismissing claims about AI’s water use as “fake” have sparked fresh debate on whether artificial ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

OpenAI CEO also downplayed concerns about how much water datacenters require at AI summit in India ...

Most teams can get an AI agent to look impressive in a demo. The hard part is shipping an agent that stays reliable once it’s exposed to real users, messy data and changing systems.

Vistra's shares lag the industry after a Moss Landing setback, but rising data-center demand and bold acquisitions could ...

"It takes, like, 20 years of life, and all of the food you eat during that time before you get smart," Sam Altman said.

OpenAI CEO Sam Altman dismissed concerns that artificial intelligence is using up lots of water as “fake” – arguing that ...

OpenAI CEO Sam Altman, compares the energy it takes to train AI and run models to the idea that it takes a human 20 years and a lot of energy to get smart.