Skip to content

Comment on Simulating everything, sort of: The promise and limits of world models

Comments

I work in a project with a similar goal, I think, but that was not related to AI: climate digital twins. I worked on two, EDITO (European Digital Twin of the Ocean, edito.eu), and currently on DestinE ClimateDT (Destination Earth Climate Adaptation Digital Twin, https://destination-earth.eu/).

These digital twins aim to simulate climate, oceans, atmosphere, wind speed, temperature, etc., regionally or globally. They apply physics, mathematics, software engineering, and high-performance computing to simulate the world. Both digital twins I mentioned use EuroHPC resources like CSC LUMI, BSC MareNostrum5, CINECA Leonardo, and soon others (and we also use other smaller HPCs).

Now there are some ongoing work about integrating AI/ML, LLM, etc.. I find it a better approach than building for LLM/AI-first, as it integrates existing components, and allows for AI to be used too. I think this could possibly be integrated as a component in a solution like this described in the article, as a component.

(There are other digital twins, for heart, human body, cities, urban climate, rivers, biodiversity, etc.)

AboutSource Built by g1lg1l

Hackerly is an independent reader for Hacker News, built on the public HN API. Not affiliated with Y Combinator.