illuminem summarizes for you the essential news of the day. Read the full piece on MIT Technology Review or enjoy below:

🗞️ Driving the news: US data center emissions have tripled since 2018, now accounting for 105 million metric tons of CO₂ annually, as energy-intensive AI models like OpenAI’s Sora push energy consumption to new heights
• Data centers use 4.59% of all U.S. energy, with their power sources being 48% more carbon-intensive than the national average
• AI's rapid evolution into multimodal models (e.g., video, music generation) is expected to drive emissions even higher

🔭 The context: While data centers support diverse digital functions, AI-specific workloads like training and pinging large models are growing disproportionately
• Many centers are located in coal-heavy regions, exacerbating emissions
• The shift from text-based AI to resource-heavy multimedia models increases energy demands exponentially, with no immediate regulatory pressure to reduce carbon footprints

🌍 Why it matters for the planet: The carbon intensity of AI threatens to undermine sustainability efforts, particularly as AI adoption expands across industries
• Without energy efficiency improvements or cleaner power sources, AI could significantly contribute to worsening climate impacts

⏭️ What's next: Researchers urge policymakers to regulate data center emissions, while Big Tech faces growing scrutiny over sustainability practices
• Innovations in energy-efficient chips and renewable-powered facilities will be critical to mitigating AI’s environmental toll

💬 One quote: “As we scale up to images and video, the data sizes increase exponentially… and emissions will soon jump.” – Gianluca Guidi, lead author of the Harvard study

📈 One stat: 95% of U.S. data centers operate in regions with electricity sources dirtier than the national average, driving carbon emissions upward

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