A Geodyssey – Geoscience Text Analytics and Enterprise Search Research
A voluntary non-commercial research blog since 2015
My feature article published today in GEOSCIENTIST adds to the growing discussion on the role of Large Language Models (LLMs) in the geosciences.AI is not an isolated technology; it is embedded in broader scientific, technical, and institutional systems. Developing AI literacy in geoscience therefore requires (i) solid foundational geological understanding, (ii) technological and data-science competence to grasp... Continue Reading →
Iniital 19th August 2025 Post: I created an Open-source Geological AI App yesterday that lists reference literature and visualises plate reconstructions if relevant to the question. It was just to illustrate how we can use Large Language Models (LLM) to enable natural language querying of multiple sources, both unstructured and structured, to help us gather... Continue Reading →
Teaching Rocks to Speak: The Promise of Large Geologic Models and Generative AI. If you are attending the IMAGE conference this month you may wish to pop over to see Andrew Davidoff’s presentation.In my opinion it’s a non-technical high level thought provoking piece on subsurface Multi-modal Large Language Models (MLLM) from the perspective of someone... Continue Reading →
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 →
Large Language Models: Due to the risks, NASA decides against fine tuning a generative earth science LLM.“Based on our initial assessment, the costs and risks associated with developing an exclusive NASA Science Mission Directorate (SMD) decoder (generative) model currently outweigh the benefits.”In a paper published yesterday in the American Geophysical Union (AGU) - Perspectives of... Continue Reading →
Misconceptions of LLM Chatbots: For scientists and business professionals it is critical to know the source of any AI generated answer or assertion. If we cannot trace the sources accurately we are unlikely to trust the output. Imagine reading a literature review where no sources were cited.The technique used to provide as accurate as possible... Continue Reading →
Over 150 BSc, MSc and PhD geological questions released to help benchmark geological Gen AI. These were released by the team at GeologyOracle the free AI to answer geological questions, extract data from documents, code and interpret sketches and photographs.Hopefully more elements will be Open-sourced over the coming months such as the open-access training data... Continue Reading →
Open access code: Querying one of the largest mineral databases in the world using natural language for co-occurrence mineral analysis and heat map visualization for geoscience data analysis.Interesting paper from Zhang et al (2025) from the University of Idaho connecting Open AI's GPT-4o Large Language Model (LLM) through prompt engineering to the mineral database Mindat... Continue Reading →
Presentation of uncertainty in geoscience Large Language Models (LLM) is likely to be an important part of ethical design. A factual dataset was open-sourced by Wei et al (2024) “SimpleQA” a few weeks ago containing over 4,300 generic factual questions and answers.One use of these data was to test the stated confidence of an LLM... Continue Reading →
A Geological Aware Large Language Model to be released November 14th 2024: University researchers have experimented using open-access geoscience papers to guide OpenAI’s GPT-4, a system they call “GeologyOracle”.The authors, Baucon and Neto de Carvalho, are from the University of Genova and Lisbon respectively, the latter also from UNESCO Global Geoparks. As the paper was... Continue Reading →
A Geodyssey - Geoscience Text Analytics and Enterprise Search Research 