Exploration of using the Turing tests imitation game as a conceptual model to think about different generative AI interactions in 2026 by varying the original game parameters to map to real-world scenarios.
Explains how to use instruction files to guide GitHub Copilot to help you consume less risky code dependencies. Also introduces different types of dependency risks and how they can be assessed.
What a relative elevation map referenced against large rivers and coastline can tell us about why Buffalo Bayou flows east instead of south south east like many rivers in the area.
A post mortem on a prototype web application that generates geology field trip statements for point locations. Plus, thoughts on how LLMs can improve geologic maps.
Sharing what you build with those that you built upon puts energy back into the open source and open data systems. Free does not have to mean invisible.
Learnings from an experiment to see if a large language model could be used to generate geologic descriptions of arbitrary point locations around the world.
A hackathon project to get floodplain map data delivered as speech and experienced while on the move. Now wondering if another type of data would make more sense for this type of approach?
This post is directed at houston-based geoscience types starting off on a month to years long process of improving their skills in data science and maybe eventually getting a job in data science. It lays out the things I’ve found myself telling people in real life.
This weekend I finally got to do a hackathon project I have been wanting to try for more than two years. It leverages machine-learning to mimic human-created stratigraphic picks.
Blog post about setting up my first personal seismometer. Raspberry Shake is built on top a Raspberry Pi and records earth quakes and other seismic waves.
Blog post about setting up my first personal seismometer. Raspberry Shake is built on top a Raspberry Pi and records earth quakes and other seismic waves.