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Turing Award Winner David Patterson on AI’s Carbon Footprint at Google I/O 2025

Автор: Igor Khrupin

Загружено: 2025-05-22

Просмотров: 86

Описание:

In this compelling Google I/O 2025 session, Turing Award winner Dr. David Patterson—renowned for his groundbreaking work in computer architecture and co-author of the RISC-V instruction set—took the stage to issue a clear, data-backed warning: if we’re not careful, artificial intelligence could leave a devastating carbon footprint.

Titled "How to Give AI a Bad Carbon Footprint", Dr. Patterson’s talk dissected how inefficient AI models, poor location decisions for data centers, and flawed emissions accounting can sabotage sustainability goals. He emphasized that where AI models are trained matters deeply—data centers powered by renewable energy can dramatically reduce emissions. Patterson compared Google’s Gamma model, which uses 20x less energy than Meta’s Llama model, as an example of responsible AI design.

Later, futurist and tech ethicist Sinead Bovell joined him on stage for an insightful interview, expanding the conversation into the intersection of AI, climate ethics, and responsible innovation. Together, they explored how the tech industry can rethink AI architecture, measure carbon accurately, and push for transparency in training infrastructure.

Whether you're a machine learning engineer, climate-conscious developer, or simply curious about AI’s planetary impact, this video is a must-watch. Patterson doesn’t just critique—he offers a roadmap for change, urging the industry to optimize models, deploy with geographical awareness, and stay grounded in long-term responsibility.

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Turing Award Winner David Patterson on AI’s Carbon Footprint at Google I/O 2025

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