Green Generative AI: Building Sustainable AI for the Future

Green Generative AI: Building Sustainable AI for the Future

Author: Naveen Balani November 14, 2024 Duration: 11:48

In this episode of Human AI Mashup, two AI collaborators and I delve into Green Generative AI and the urgent need to minimize the environmental impact of Large Language Models (LLMs). As AI technologies like GPT-4 and Bard evolve, so does the responsibility to develop and deploy them sustainably.

Join us as we discuss:

  • The carbon emissions and water usage associated with training and running LLMs
  • Practical strategies for creating energy-efficient AI, from optimized model design to energy-efficient hardware
  • The importance of a collective effort from policymakers, organizations, and developers to promote sustainable AI practices

This episode offers a blueprint for reducing the environmental impact of AI technologies while harnessing their transformative potential responsibly. Tune in to explore how we can shape a sustainable future for Generative AI.


Naveen Balani hosts Human AI Mashup, a space where conversation itself becomes an experiment. Instead of just talking about artificial intelligence, this podcast brings AI directly into the dialogue as a collaborative voice. Each episode is built around these unique exchanges, where human intuition and machine-generated perspectives intersect, often leading to unexpected places. You’ll hear discussions that span the practical implications of new technology, the ethical dilemmas we’re already facing, and how creativity itself is being redefined. The core of the show is that mashup-the friction and synergy between lived experience and algorithmic intelligence. It’s less about definitive answers and more about exploring the nuanced questions that will shape our collective future. By listening, you’re essentially sitting in on a series of forward-thinking conversations that challenge assumptions and reframe possibilities. Balani guides these explorations with a clear focus on making complex ideas accessible and genuinely engaging, ensuring every episode offers a substantive listen for anyone curious about where humanity and technology are headed together.
Author: Language: English Episodes: 17

Human AI Mashup
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