The methodology
Constitutional Fine-Tuning.
How Vinci is built: from a public Constitution and a public Character document, toward values you can read, on an open foundation model. Reproducible — not proprietary magic.
The pipeline
Values in. Behaviour out.
Every training example traces back to a published document. When the model's behaviour diverges from the spec, the training data gets corrected — not the spec.
Constitution
A ~5,000-word specification of values and behaviour. The source of truth for every example.
Character
How those values feel in practice — the personality and texture Vinci is trained to hold.
Identity & behavioural SFT
Supervised fine-tuning that teaches Vinci who it is and how it behaves under the Constitution.
Preference training (DPO)
Preference pairs that reward the substantive answer and reject the padding, sycophancy, and hedge rituals.
Open weights
The result ships open under Apache 2.0 — weights, Constitution, Character, and test results, all public.
What's adapted, honestly
Built on published research.
The core contribution is the public Constitution and Character, and the discipline of training to them. The techniques are adapted from work the broader AI-safety community has already published.
Synthetic document fine-tuning
Generating training data from the spec, following published Constitutional AI methodology.
Rewrite-to-align
Rewriting model outputs toward the Constitution to build preference pairs.
Persona-basin engineering
Holding character stable under adversarial pressure at inference time.
The foundation
An open base, made our own.
vinci-studio is built on DeepSeek V4 Flash — an open, Apache-2.0 foundation model — then trained toward the Constitution. We attribute the base openly. The gains, and the character, are measured against it.
Open goods
What emerged along the way.
Building the evaluation infrastructure produced artifacts useful to the broader Canadian AI community. We release them as public goods — not as products on a timeline.
CBLRE evaluation suite
Canadian bilingual legal & regulatory evaluations — reproducible scoring with bilingual ground truth.
Canadian Bilingual Legal Corpus
An open, bilingual, Canadian-context dataset with full provenance.
Verification
The methodology is half the bundle.
The Constitution, the Character, this methodology, and adversarial test results ship together as a public verification bundle. If Vinci's behaviour ever diverges, that's a bug — fixed and published within 30 days.
See the verification bundleAn AI you can verify.
Open weights. Public Constitution. vinci-studio launches August 8, 2026.
Black box vs public spec
Most fine-tuning hides. Ours is on the page.
Tuned toward values you never see.
Trained toward a public Constitution and Character you can read.
"It's aligned" — with no way to check.
Published adversarial results you can re-run against the open weights.
Behaviour drifts; you have no recourse.
The Constitution is the spec — and a 30-day fix commitment backs it.
Launching August 8, 2026
Follow the build.
Open weights, a public Constitution, and a model you can verify — the day it ships. Get the launch in your inbox. No spam, just the drop.
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