Sustainable AI Insights
Deep dives, case studies, and practical guides on reducing the carbon footprint of Artificial Intelligence computing.
The Gulf Stream is Shifting North: An Early Warning for AMOC Collapse
New high-resolution modeling reveals that the Gulf Stream is shifting northward. This observable change provides a critical early warning signal for the collapse of the Atlantic Meridional Overturning Circulation (AMOC).
Run AI Models Locally with Ollama: Greener, Faster, Private
Every prompt you send to a cloud API spins up a GPU farm you cannot see. Ollama lets you run powerful open-source models on your own machine, cutting cloud energy use and keeping your data off someone else's server.
Understanding the AMOC Tipping Point
A breakdown of how the Atlantic Meridional Overturning Circulation works, its relationship with climate change, and what recent science tells us about its future.
The AMOC Collapse Debate: What CMIP6 Models *Actually* Tell Us About Resilience
A data-driven analysis of CMIP6 models revealing why some predict a wind-driven AMOC remnant, while others show a catastrophic failure.
The Carbon Footprint of AI Image Generation
Why generating one image costs as much energy as charging your phone, and how designers can work sustainably.
Claude 3 vs GPT-4: Which AI Model is Greener?
A technical deep dive into the efficiency of Anthropic's Claude 3 family versus OpenAI's GPT-4. Which one should eco-conscious developers choose?
5 Ways to Reduce Your AI Carbon Footprint
You don’t have to give up AI to be sustainable. Here are 5 actionable tips for developers and users to use AI responsibly.
How Much Energy Does ChatGPT Really Use?
Understanding the hidden carbon footprint of standard LLM queries compared to traditional search and why it matters for the future of the planet.