SoftBank loses billions after over-ordering AI energy equipment
Japanese investor SoftBank reported $3.7 billion hit to its earnings, after cancelling a glut of orders for gas-producing equipment.
AI & Climate
11 articles tagged with this keyword, sorted by most recent first.
The Download: empty AI climate claims, and an Nvidia investigation
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Opinion: The climate case for AI has not been made —By Mary Nichols, distinguished counsel at the UCLA School of Law and the former chair of the California Air Resources Board,…
Saudi Ecoryx launches AI sustainability platform
Listen now (1 min) | Middle East AI News Minute - 12-Oct-26
Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers
AI factories are the infrastructure of the intelligence era. Scaling them responsibly will depend as much on innovation across the grid as inside the data center. Today, Emerald AI, Google and NVIDIA announced the launch of the AI Energy Management Alliance (AEMA), a first-of-its-kind coalition advancing data centers that can dynamically manage their electricity use […]
😺 Altman and Amodei want AI to slow down
PLUS: Anthropic's open-model line, AI patents, frontier-lab revenue, and a red/blue/green AI Skill.
Ditch the niceties in AI prompts to save energy use, say researchers
A UN report warns of the rapid growth in AI energy consumption, but suggests users can improve efficiency by making prompts more concise
The AI Climate Hoax: Behind the Curtain of How Big Tech Greenwashes Impacts
The tech companies driving AI expansion claim that AI will eventually help solve climate change. Our analysis indicates that such claims are not based on credible and verifiable data. On the contrary, the evidence for any significant positive climate impacts from AI is weak, while its substantial climate damage is clearly documented.
Introducing AIMIP: The AI weather and climate model intercomparison project
AIMIP is a new open benchmark and dataset for evaluating AI climate models, showing they can match or beat conventional models on some historical climate metrics while still struggling to generalize reliably to long-term warming trends and unseen climate scenarios.