genAI Fails to Justify High Energy and Environmental Costs Amid AI Controversy
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| Source: Mastodon | Original article
GenAI's high energy and environmental costs raise concerns.
The growing concern over the energy, environmental, and social costs of general artificial intelligence (GenAI) has sparked a debate about its justification. As we previously reported, the costs associated with GenAI, including large language models (LLMs), have been a topic of discussion. The latest scrutiny highlights that a few proofs or successes cannot outweigh the significant expenses and negative impacts of GenAI.
This matter is crucial as CIOs are now closely examining the return on investment (ROI) of GenAI projects, considering both the costs and benefits. Reports, such as the one by Gartner on GenAI cost optimization, warn that moving GenAI systems to production can be exponentially more expensive than running pilots, and that agents can lead to unexpected, high bills.
As the discussion unfolds, it will be essential to watch how companies and researchers balance the potential benefits of GenAI with its substantial costs and environmental footprint. With the increasing focus on cost optimization and ROI, the future of GenAI may depend on finding ways to mitigate its negative impacts while harnessing its capabilities.
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