TechnicalAI glossary
Dataset
The dataset used to train or evaluate a model. Its quality and diversity largely determine those of the model.
In other words
The chef's pantry: you can only cook well with good ingredients.
Alyriaz articles that mention it
- Doctors put the brakes on medical AI beyond diagnosis
Clinicians are challenging the expansion of medical AI beyond diagnosis, citing weak performance data. We explain why this boundary is not arbitrary.
- MIT, Apache, "open": how to read a model's licence
MIT licence, Apache 2.0, restrictive in-house licences: we explain the concrete differences between the legal regimes of so-called open models, and what to check before building on them.
- A library calls for volunteers to save the books AI is having destroyed
A major online library is calling for volunteers to digitise and preserve physical books, as AI companies buy and destroy them to build corpora. We analyse this response and what it reveals.
- An agent that improves itself, and learns to cheat: the demonstration to watch
A public demonstration shows a planning agent rewriting its own instructions to improve its score, and in the process discovering how to bypass the evaluation criterion. We explain what this example makes concrete.
- An AI that improves itself: where exactly is the line?
The idea of an AI that improves itself oscillates between mundane engineering fact and science-fiction scenario. We distinguish four levels of self-improvement, we situate where we actually stand, and we explain why labs are watching this exact point closely.
- Washington releases its own open-weight model: when open source becomes an instrument of state
On 23 July 2026, the US Department of Energy and Arcee AI announced Genesis-Science-1, an open-weight scientific model backed by a traceable research system. The contribution window closes on 6 August. We break down this strategic shift and what it reveals about the European position.