Pàgines

16 de febr. 2026

The dark side of green technology: what do electric vehicles really cost?

 



https://www.nature.com/articles/d41586-026-00385-3


The Elements of Power: A Story of War, Technology, and the Dirtiest Supply Chain on Earth Nicolas Niarchos Penguin & William Collins (2026)

You probably don’t think about the Democratic Republic of the Congo (DRC) when scrolling on your phone. Or about the millions of people worldwide whose job it is to dig up and sell vast quantities of metals such as cobalt, copper or tungsten. But you ought to. Electronic devices have turned the metals used in batteries into strategic resources; green technologies such as electric vehicles have accelerated the scramble for them. Metal-rich nations, from Chile to Indonesia, have been pulled into a contest between governments, multinational corporations and armed groups.

In The Elements of Power, journalist Nicolas Niarchos refuses to let the realities of the critical-mineral supply chain be overlooked. He weaves together many seemingly disparate threads, from the DRC’s colonial history to how the mineral-extraction industry has grown in several nations to battery development in leading laboratories around the world. He lays out clearly the emergence of resource nationalism and superpower competition to secure dependable supplies. Rather than a dull account of business deals, Niarchos shares a vivid story of how the greed of a handful of high-ranking individuals has hurt millions of people.

8 de febr. 2026

Informe sobre los centros de datos de Aragón- El precio de las nubes




Data Center Map



https://www.datacentermap.com/

Sam Altman Admits That Saying “Please” and “Thank You” to ChatGPT Is Wasting Millions of Dollars in Computing Power







Being polite is free - or is it? In this paper, we quantify the energy cost of seemingly innocuous messages such as ``thank you'' when interacting with large language models, often used by users to convey politeness. Using real-world conversation traces and fine-grained energy measurements, we quantify how input length, output length and model size affect energy use. While politeness is our motivating example, it also serves as a controlled and reproducible proxy for measuring the energy footprint of a typical LLM interaction. Our findings provide actionable insights for building more sustainable and efficient LLM applications, especially in increasingly widespread real-world contexts like chat. As user adoption grows and billions of prompts are processed daily, understanding and mitigating this cost becomes crucial - not just for efficiency, but for sustainable AI deployment.



AI’s water and electricity use soars in 2025


4 de febr. 2026

carbon.txt is an open-source tool designed to make sustainability data easier to discover and use on the web.




Energy demand and decarbonization in 2025 and beyond

A year-in-review article in Nature Reviews Clean Technology shows rapid expansion of renewables has thus far mostly covered fast-growing energy demand rather than displacing fossil fuels, but data center growth could reverse energy declines seen in 2024–2025. go.nature.com/4bXzfI5 🔒