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League of Nation: The international organization between two World Wars

  The League of Nations was an intergovernmental organization founded on January 10, 1920, as part of the Treaty of Versailles that ended World War I. It was established with the aim of promoting international cooperation, resolving disputes, and preventing future conflicts. The League of Nations was proposed by President Woodrow Wilson of the United States as one of his Fourteen Points for peace. The League's charter was included in the Treaty of Versailles, which was signed by the victorious Allied powers and Germany. The League's headquarters were located in Geneva, Switzerland. The League of Nations consisted of two main bodies: the Assembly and the Council. The Assembly served as a forum for all member states to discuss and vote on important issues, while the Council was responsible for making decisions and taking action on matters of international concern. The Council consisted of permanent members (the United Kingdom, France, Italy, Japan) and non-permanent members e...

Artificial Intelligence (AI) water footprint is a concern

 A recent study has highlighted the water footprint of AI models, particularly in relation to data centers that power and train these models. The water footprint of AI refers to the amount of water needed for electricity generation and cooling in data centers. It consists of direct water consumption, which is the water evaporated or discharged during the cooling process, and indirect water consumption, which is the water used for electricity production.



The water footprint of AI varies depending on factors such as the AI model's type and size, data center location and efficiency, and the source of electricity. For instance, training a large AI model like GPT-3 can directly consume up to 700,000 liters of clean freshwater, which is equivalent to producing hundreds of cars.

Engaging in conversations with AI chatbots like ChatGPT also has a water consumption impact. The study estimates that a single conversation with ChatGPT can consume around 500 ml of water for 20-50 questions and answers. Considering the large user base and multiple conversations, the cumulative water consumption becomes significant. The upcoming GPT-4 model is expected to increase water consumption even further, although estimating its water footprint is challenging due to limited data availability.

Despite the digital nature of AI activities, physical data storage and processing occur in data centers, which require substantial cooling systems. These systems rely on water-intensive processes like evaporative cooling towers. Additionally, data centers need pure freshwater for maintaining system integrity and significant water for power generation.

These findings raise concerns about the environmental impact of AI and emphasize the need to address the water footprint of AI models to ensure sustainable development in the field.

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