Resource Hub
2467 hand-picked resources, updated every week. Search it, filter it, or just browse a collection and see what catches your eye. Want today’s headlines instead? Read the free AI news feed.
Filtered by tag
Answers come only from resources in this hub, with the sources listed underneath.
7 resources
BloombergNEF's free executive summary of its 2026 New Energy Outlook, covering how global energy supply, demand and emissions could evolve. Useful context for the energy demands of AI data centers.
A World Economic Forum story on how early-stage green startups are creating accessible jobs and what that means for founders and job seekers in climate work.
Why I recommend it: WEF is a business-backed forum, so its stories lean optimistic about corporate and startup solutions.
An essay arguing for building a large model of the natural world — weather, oceans, ecosystems — as its own kind of general intelligence, separate from language models.
Why I recommend it: One argument, well written, worth reading as a counterweight to the LLM-only view of where AI is heading. It is a manifesto, not peer-reviewed research.
Ketan Joshi's free analysis picking apart the claims in an industry report on AI and climate, showing where the energy and emissions figures do not hold up.
From the site: What does the real climate footprint of the biggest company on the planet look like? It's a good question, but here's a better one: why don't we already know the answer?
Why I recommend it: A worked example of how to read an industry report critically — useful skill well beyond this topic.
Free, MIT-licensed Python library and documentation for applying AI to satellite and geospatial data, with tutorials, notebooks, a QGIS plugin and video walkthroughs.
From the site: A Python package for using Artificial Intelligence (AI) with geospatial data
Why I recommend it: A free, well-documented open-source project — a good portfolio path if you want to work in mapping, climate or remote sensing.
The open letter and campaign from employees pressing their employer on climate and data-center energy use.
Why I recommend it: An example of workers using an open letter as leverage — worth reading for the wording alone.
Free journalism and analysis on nuclear risk, climate change and disruptive technologies including artificial intelligence, from the group behind the Doomsday Clock.
Why I recommend it: Good grounding if you want to argue about AI risk with facts rather than vibes.
