These kinds of biases aren’t so much a technical problem as a sociotechnical one; ML models try to approximate biases in their underlying datasets and, for some groups of people, some of these biases are offensive or harmful. That means in the coming years there will be endless political battles about what the ‘correct’ biases are for different models to display (or not display), and we can ultimately expect there to be as many approaches as there are distinct ideologies on the planet. I expect to move into a fractal ecosystem of models, and I expect model providers will ‘shapeshift’ a single model to display different biases depending on the market it is being deployed into. This will be extraordinarily messy.
Recent articles
- Distributing Go binaries like sqlite-scanner through PyPI using go-to-wheel - 4th February 2026
- Moltbook is the most interesting place on the internet right now - 30th January 2026
- Adding dynamic features to an aggressively cached website - 28th January 2026