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News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.

Latest News

31 articles
Industry

Amazon data centers consumed 2.5 billion gallons of water in 2025

Amazon has disclosed that its global data center operations used 2.5 billion gallons of water in 2025, marking the first time the company has released such figures. The report comes shortly after Seattle enacted a one-year moratorium on data center construction, which some Amazon employees had pushed for. Amazon claims its water efficiency improved by 2% compared to 2024, and that its data centers are seven times more efficient than the industry average.

Jun 113 minNeura News
AI Tools

AWS details observability strategy for SageMaker AI LLM inference

AWS published a technical guide on comprehensive observability for large language models deployed on Amazon SageMaker AI. The approach separates monitoring into infrastructure quantity and LLM quality dimensions, using CloudWatch and Amazon Managed Grafana to visualize GPU utilization, cost, and response quality signals. The solution includes alert thresholds for metrics such as safety scores and composite quality scores, evaluated by an LLM-as-judge setup.

May 304 minNeura News
Industry

Developers Refuse to Work Without AI, Studies Question Gains

Developers are increasingly unwilling to work without AI coding tools, but research from METR, Singapore Management University, and others suggests AI may not boost productivity and could increase long-term maintenance costs. Tokenmaxxing trends have led to budget blowouts at Amazon and Uber, while self-reported gains conflict with data showing higher defect rates and maintenance burdens. Experts recommend humans retain oversight on architecture and security.

May 294 minNeura News
Funding

Amp Raises $1.3 Billion for Shared AI Compute Pool

Amp, a startup in Menlo Park, California, has secured more than $1.3 billion to build a global pool of specialized computer chips for AI training. Founded by Anjney Midha, the company aims to provide access to computing power for startups, universities, and others excluded by tech giants like Amazon, Google, Anthropic, and OpenAI. Investors include Andreessen Horowitz and Y Combinator, with partners such as Periodic Labs and ElevenLabs joining the effort.

May 123 minNeura News