The Morning After: The cost of generating AI images

Key Takeaways:

– Researchers from Carnegie Mellon University and AI startup Hugging Face collaborated to measure the carbon footprint of AI-generated images.
– Creating an AI image consumes the same amount of energy as charging a smartphone.
– Generating text requires significantly less energy compared to creating images.
– The researchers examined 13 tasks, such as summarization and text classification, to measure carbon dioxide emissions.
– The researchers emphasize the importance of transparency in understanding the environmental impacts of AI models.
– OpenAI’s chatbot, ChatGPT, has millions of daily and monthly active users, resulting in a significant energy usage.
– The article also mentions other news stories, including the confusion caused by computational photography and the debate over the definition of “indie” in the gaming industry.
– The Analogue Pocket handheld console is restocking, but cart adapters are delayed.
– Google has reportedly postponed the launch of its Gemini AI to 2024, citing difficulties with non-English queries.

engadget:

Researchers from Carnegie Mellon University and AI startup Hugging Face collaborated to see the carbon footprint of all those whimsical AI images we’ve generated over the last few years. They discovered that creating an image using artificial intelligence uses the same energy as charging a smartphone. Generating text, whether a conversation with a chatbot or cleaning up an essay, predictably requires much less energy. The researchers examined 13 tasks, ranging from summarization to text classification, and measured the carbon dioxide produced per every 1,000 grams.

The researchers urge machine learning scientists and practitioners to “practice transparency regarding the nature and impacts of their models, to enable better understanding of their environmental impacts.” Take ChatGPT, OpenAI’s chatbot. It has upward of 10 million users per day and 100 million monthly active users. That’s a lot of energy.

— Mat Smith

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This article originally appeared on Engadget at https://www.engadget.com/the-morning-after-the-cost-of-generating-ai-images-121549213.html?src=rss
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AI Eclipse TLDR:

Researchers from Carnegie Mellon University and AI startup Hugging Face conducted a study to determine the carbon footprint of generating AI images. They found that creating an image using artificial intelligence consumes the same amount of energy as charging a smartphone. In contrast, generating text requires significantly less energy. The researchers examined 13 tasks and measured the carbon dioxide produced per every 1,000 grams. They encourage machine learning scientists and practitioners to be transparent about the nature and impacts of their models to better understand their environmental effects. The study highlights the energy consumption associated with popular AI applications, such as OpenAI’s chatbot ChatGPT, which has millions of daily users.