The use has become increasingly common in recent years artificial intelligence tools, that many of us may have overlooked carbon footprint raised the issue. Although it is useful to us in many areas, for a certain segment of the population the energy consumed by artificial intelligence is considered a harbinger of disaster.

However, it is an entrepreneurial project in the field of artificial intelligence. Hugging face, Together with Carnegie Mellon University, they conducted a study into the energy consumption of vehicles with artificial intelligence. Special DALL-E While he created incredibly realistic images, the energy he expended caught the attention of many people.

According to research, the energy that artificial intelligence tools consume when creating images is equivalent to charging a phone.

DALL-E, perhaps the most popular rendering tool, uses a phone while creating an image. only up to 16% It uses the energy consumed during charging. Accordingly, the energy consumed by artificial intelligence does not increase the carbon footprint that much.

In addition ChatGPT Text-based artificial intelligence tools use less energy than the energy we talk about when summarizing an article or chatting about any topic. This shows how small the ecological footprint actually is.

A total of 13 different commands were examined in the study.

Not only create images and text, but also summary and classification of texts In total there are 13 different commands as discussed. Next one carbon dioxide produced per 1000 grams Examining the amount of data, they worked on 88 different models with 30 different data sets to make the research fairer.

To obtain the amount of carbon during the measurement, researchers They carried out a total of 1000 assignments. Accordingly, the tools that require the most energy are listed as text creation, summary and image creation. image creation produces in terms of emissions comes first, while creating text comes last.

per day more than 10 million ChatGPT, which has many users, caused researchers to investigate its carbon footprint. To make the impact of artificial intelligence on the environment more understandable invite developers to be transparent Although researchers emphasize that charging a phone to 16% requires a small amount of energy, CO2 emissions can easily increase.