The same sentence, read by the machine as it learns — scroll through the run
STEP 6,000
fetching earlier selves of the model…
In this edition
Custom AI systems
Retrieval pipelines over your documents, model evaluation and fine-tuning, language-model
features built into your product. The reference build runs in production: 1.3 million
chunks, answers with receipts.
No page builders, no templates: sites written by hand, fast and private by construction —
zero trackers as a contract term. Forty-plus pages run this way in production, in university
classrooms, every term.
Scraping and data curation, document processing, programmatic publishing. The corpus behind
the billion-parameter model — 257,918 articles — was collected by pipelines like the ones
I build for clients.
PULLMAN, WA — four university courses, every termWASHINGTON STATE — Global South Solidarities, registered nonprofitNEW YORK — USD 2,000 Modal compute grant
REMOTE-FIRST · IST +5:30 · REPLIES WITHIN 24H
Selected results — abridged
Figure
Claim
Evidence
109 params
Language model designed and trained entirely from scratch, on consumer hardware plus free cloud quota. In beta.