09-04-2026, 02:25 PM
Hello everyone,
I'm a CTO at a tech company. I build AI agents for businesses. Not a medievalist, not a cryptographer, not a Latinist.
Like many of you, the Voynich became an obsession. I spent weeks building a pipeline that tests the King-Andrisani transliteration hypothesis by checking every decoded word against the Perseus Latin Dictionary (265,419 attested forms). Not interpretation, code. Four versions thrown away before anything worked.
The key breakthrough: the scribe appears to glue prepositions to the following word, like Arabic proclitics. When I coded that rule, validation jumped from 74% to 89% in one pass, and four-word matches against pharmaceutical corpora went from 1 to 19.
What I find hardest to dismiss as artifact:
On f103r, the word "coque" (cook) appears 17 times in 5 conjugated forms: coque, coquas, coquere, coquendo, coquant. A random mapping does not produce a Latin morphological paradigm.
On f33r, the pipeline decodes INELIODE. The illustration on the same page shows an Asteraceae. The pipeline cannot see the illustration. Two independent channels pointing to Inula helenium.
The astronomical pages (f67r) decode to pharmaceutical vocabulary: spikenard, cinnamon, celery, wine. Nobody expected recipes hidden in star diagrams.
What doesn't work: 3,421 words are opaque. Zodiac labels are uncracked. Never found 5 consecutive words in a known text. 4 Aurea Alexandrina ingredients are missing. Short Latin words can match Perseus by chance, and I honestly cannot separate signal from noise in the 89%.
I don't have the medieval Latin expertise to evaluate grammar coherence. A Latinist would see in minutes what I can't see in weeks.
I've pushed this as far as I can. Everything is open source. My goal is to transmit this to someone with the right skills.
Pipeline + all 226 folios decoded: You are not allowed to view links. Register or Login to view.
Visual summary (22 pages): in the docs/conference folder
Paper: You are not allowed to view links. Register or Login to view.
Guillaume[attachment=15037]
I'm a CTO at a tech company. I build AI agents for businesses. Not a medievalist, not a cryptographer, not a Latinist.
Like many of you, the Voynich became an obsession. I spent weeks building a pipeline that tests the King-Andrisani transliteration hypothesis by checking every decoded word against the Perseus Latin Dictionary (265,419 attested forms). Not interpretation, code. Four versions thrown away before anything worked.
The key breakthrough: the scribe appears to glue prepositions to the following word, like Arabic proclitics. When I coded that rule, validation jumped from 74% to 89% in one pass, and four-word matches against pharmaceutical corpora went from 1 to 19.
What I find hardest to dismiss as artifact:
On f103r, the word "coque" (cook) appears 17 times in 5 conjugated forms: coque, coquas, coquere, coquendo, coquant. A random mapping does not produce a Latin morphological paradigm.
On f33r, the pipeline decodes INELIODE. The illustration on the same page shows an Asteraceae. The pipeline cannot see the illustration. Two independent channels pointing to Inula helenium.
The astronomical pages (f67r) decode to pharmaceutical vocabulary: spikenard, cinnamon, celery, wine. Nobody expected recipes hidden in star diagrams.
What doesn't work: 3,421 words are opaque. Zodiac labels are uncracked. Never found 5 consecutive words in a known text. 4 Aurea Alexandrina ingredients are missing. Short Latin words can match Perseus by chance, and I honestly cannot separate signal from noise in the 89%.
I don't have the medieval Latin expertise to evaluate grammar coherence. A Latinist would see in minutes what I can't see in weeks.
I've pushed this as far as I can. Everything is open source. My goal is to transmit this to someone with the right skills.
Pipeline + all 226 folios decoded: You are not allowed to view links. Register or Login to view.
Visual summary (22 pages): in the docs/conference folder
Paper: You are not allowed to view links. Register or Login to view.
Guillaume[attachment=15037]