Generative AI poses considerable environmental implications, particularly during model training which demands massive amounts of energy. For instance, training the GPT-3 model alone consumed over 1,287 MWh, resulting in substantial carbon emissions equivalent to numerous gasoline vehicles. As society increasingly relies on AI tools, it’s critical to hold discussions on how to harness their benefits while minimizing their ecological footprint, advocating for responsible use to ensure sustainability in AI's ongoing development and application.
The training of a single AI model consumes thousands of megawatt hours; GPT-3's training reportedly required 1,287 MWh, emitting 552 tons of CO₂.
To use AI responsibly, we need conversations about balancing the technology's benefits with understanding its environmental impacts and implementing safeguards.
Collection
[
|
...
]