As a follow up to the free webinar I gave on how Large Language Models can help geoscience, a write up of the event is now published in Digital Energy Journal. https://www.digitalenergyjournal.com/home/
Write up of free webinar on geoscience LLMs
Generating microscopic images of rocks using generative artificial intelligence
Interesting paper generating microscopic images of rocks using generative artificial intelligence (GenAI) published this week by Młynarczuk and Habrat (2025).“The generation of synthetic images can be an important element in supporting the augmentation and analysis of multimedia data. It has applications in many scientific fields. Also, in geological and mining sciences.This study presents generative artificial... Continue Reading →
The Common Pile
The Common Pile: The largest dataset ever built exclusively from public & openly licensed text.The authors Kandpal et al (2025) also release “Comma v0.1-1T and -2T, two performant 7-billion-parameter LLMs trained on text from the Common Pile”.“produces models comparable to those trained on an equivalent amount of unlicensed data. Ultimately, we believe that the Common... Continue Reading →
Open-access global geomagnetism
Upgrade to open-access global geomagnetism GIS portal operated by the British Geological Survey (BGS).“The World Data Centre (WDC) for Geomagnetism, based in Edinburgh, was established in 1966 and is operated by BGS. Its mission is to collate, store and distribute data (and associated metadata) from observations of the Earth’s magnetic field.As part of this mission,... Continue Reading →
AI and Planetary Impact
AI and Planetary Impact: The Business of Saving the Planet. Insightful event today staged by John Hopkins University. How the rapid rise of AI technologies is influencing climate action, environmental sustainability, and wildlife conservation. Session included:Kate Brandt - Chief Sustainability Officer at GoogleDiego Saez Gil - CEO of PachamaMalaika Vaz - National Geographic ExplorerJerry Burgess - Director of the... Continue Reading →
Martian Geology: Scalable AI unlocks global image search and mapping.
Martian Geology: Scalable AI unlocks global image search and mapping. Exciting opportunities to combine geology, AI & planetary exploration.Paper from Annex (2025) at the SETI Institute. Link in the comments.“The Mars Reconnaissance Orbiter (MRO) Context Camera (CTX) instrument has over the past nearly-two decades captured essentially the entirety of the surface of Mars at approximately... Continue Reading →
Automatic description of rock thin sections: A web application Open-source
Open-source: Automatic description of rock thin sections: A web application. Delighted to share Stalyn Paucar and colleagues work from Ecuador (Universidad Central del Ecuador) published this week.AbstractThe identification and characterization of rock types is a core activity in geology and related fields, including mining, petroleum, environmental science, industry, and construction. Traditionally, this task is performed... Continue Reading →
Open-source GIS LLM Copilot: towards an autonomous GIS agent for spatial analysis.
Open-source GIS LLM Copilot: towards an autonomous GIS agent for spatial analysis. Enabling non-experts to perform geospatial analysis with minimal prior knowledge. Also offering a true open-source framework based on QGIS to potentially keep data local to you.Interesting paper from Akinboyewa et al (2025). Links to the paper and code in GitHub in the comments.This... Continue Reading →
GeoGPT Data Security Risks for Geologists
GeoGPT Data Security Risks for Geoscientists. The Deep-time Digital Earth (DDE) online proprietary GeoGPT Application operated by Zhejiang Lab has data security risks. In the interests of safeguarding the geological community, geologists should be fully aware so they can make informed decisions.Extracts below of a letter published in the ‘Geoscientist’ today of the Geological Society... Continue Reading →
Geo-LLM: Using Llama 4 to create 3D geological models from geological reports
Geo-LLM: Using Llama 4 to create 3D geological models from geological reports. Innovative work using the Llama 4 API on geological reports, converting into domain specific language for input files to visualise in GemPy. All the code is Open-sourced in GitHub.Congratulations to William Davis and Gain Boonvanich for winning “Best Llama API Usage” at the... Continue Reading →
A Geodyssey - Geoscience Text Analytics and Enterprise Search Research 