diego ballarinMilan, 2026résumé
writing · llm research

frictions/attriti

Recurring ways language models fail, named and countered, from inside an extended writing and research project run as a standing testbed.I modi ricorrenti in cui i modelli linguistici cedono, nominati e contrastati, dall'interno di un esteso progetto di scrittura e ricerca condotto come banco di prova continuativo.

A model rarely fails loudly. It agrees, it returns something plausible, and the work drifts — three sessions later you are re-arguing a term that was settled weeks ago. Benchmarks cannot see this. On month three of a project, it is most of what you see.

Eight pieces, two originals each — EN and IT.
Licensed under Creative Commons CC BY-NC 4.0 · repository
It is the reason these phenomena are visible at all: most of them need weeks of accumulated context before they surface, which is exactly the condition an afternoon of testing cannot reproduce. It is also the limit of the evidence. This is one long case observed systematically, not a statistic, and nothing here is presented as a measurement.
Most of this work was done with Claude, and Claude is named wherever the episode is Claude's. Where the literature documents the same behaviour across vendors — positional degradation over long inputs, sycophancy under preference training, the limits of unaided self-correction — it is described as a family trait rather than one company's fault.
This inventory was produced by applying the protocols it describes. The observations, the analysis, the protocols and the final revision are mine; the drafting was done in dialogue with the systems under observation, under those same protocols — blind fields, forced refutations, pre-declared failure criteria.
articlessix
italianoenglish
field notesone
italianoenglish
case reportsone
italianoenglish

Every article closes on a question its protocol does not answer.

This page opens on the one they share: how much of what a model gets wrong is available to be noticed?

diego ballarin — editorial writer and researcher
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