We’re doing AI all wrong. Here’s how to get it right | Sasha Luccioni

Sasha Luccioni discusses the unsustainability of current AI practices, comparing "Big AI" to "Big Oil" in its resource consumption and environmental impact. She argues against the "bigger is better" mentality driving the development of large language models (LLMs) and advocates for smaller, more efficient AI models that can run on personal devices, offering benefits in energy consumption, cybersecurity, and data privacy. Luccioni highlights examples of AI being used for climate action, such as predicting weather events and monitoring rainforests, and introduces the AI Energy Score Project to help users make informed decisions about the energy consumption of AI models. She calls for legislation to hold AI companies accountable for their environmental impact and encourages a shift towards a more sustainable and equitable future for AI.