Row 6533

Row ID: 6533 | Dataset Entry | Axioma AXP Content Repository

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- The International Energy Agency predicts that the energy consumption associated with data centers, cryptocurrency, and artificial intelligence could double by 2026, equivalent to Japan's electricity usage.

- In the digital age, unseen processes powered by AI impact our lives, requiring materials like plastics and metals with real-world costs.

- Generative AI, such as OpenAI's GPT-3, demands significant energy for training and operations, contributing to environmental concerns.

- AI's energy costs are distributed and lack transparency, with generative AI using 30 to 40 times more energy than traditional AI approaches.

- Data storage, model training, and continuous AI model operation all contribute to the energy-intensive nature of AI technologies.

Source: https://www.vox.com/climate/2024/3/28/24111721/ai-uses-a-lot-of-energy-experts-expect-it-to-double-in-just-a-few-years

FieldValue
text - The International Energy Agency predicts that the energy consumption associated with data centers, cryptocurrency, and artificial intelligence could double by 2026, equivalent to Japan's electricity usage. - In the digital age, unseen processes powered by AI impact our lives, requiring materials like plastics and metals with real-world costs. - Generative AI, such as OpenAI's GPT-3, demands significant energy for training and operations, contributing to environmental concerns. - AI's energy…
label r/artificial
dataType post
communityName r/artificial
datetime 2024-05-11
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Raw Record

{
  "text": "- The International Energy Agency predicts that the energy consumption associated with data centers, cryptocurrency, and artificial intelligence could double by 2026, equivalent to Japan's electricity usage.\n\n- In the digital age, unseen processes powered by AI impact our lives, requiring materials like plastics and metals with real-world costs.\n\n- Generative AI, such as OpenAI's GPT-3, demands significant energy for training and operations, contributing to environmental concerns.\n\n- AI's energy costs are distributed and lack transparency, with generative AI using 30 to 40 times more energy than traditional AI approaches.\n\n- Data storage, model training, and continuous AI model operation all contribute to the energy-intensive nature of AI technologies.\n\nSource: https://www.vox.com/climate/2024/3/28/24111721/ai-uses-a-lot-of-energy-experts-expect-it-to-double-in-just-a-few-years",
  "label": "r/artificial",
  "dataType": "post",
  "communityName": "r/artificial",
  "datetime": "2024-05-11",
  "username_encoded": "Z0FBQUFBQm5Lakwydk40Ulc1Y0l2VF9XQ0QwbmJ4emwzNG43RUR6MWRneTdIb3JUWFlmdFFFVGhaMjZBQ0duXzltYlZHVXpYQVFuWXRVcklPcEM2dlRETFhOT1JRMDBOV0E9PQ==",
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