LANSKRIT is not a ranking of languages. It asks a different question: what can code learn from human language?
LANSKRIT identifies a linguistic capability, exposes the corresponding limitation in conventional code, and — where the evidence is strong enough — demonstrates a new computational construct inspired by that capability.
- Research instrumentA place to ask what code might learn from human language.
- Deterministic demonstratorSame input, same output. No hidden model.
- Atlas of capabilitiesCurated linguistic distinctions, honestly graded.
- Lab for graftsWhere a capability becomes a runnable construct.
- A language rankingLanguages are not compared for prestige.
- A translation toolIt does not translate text between languages.
- A Sanskrit languageThe name is a portmanteau, not a product.
- A novelty quizIt answers structural questions, not trivia.
- An AI code generatorNo model writes the runtime or the receipts.
The world has thousands of languages. Code has explored only a fraction of what language knows.
Understand the three registers.
Expression, structure, computation — and how the evidence tiers work.
Walk the linguistic capabilities.
Capabilities, languages, opportunities, trails, and the frontier.
Run an executable graft.
Evidentiality, live. Every run leaves a fingerprinted receipt.
LANSKRIT does not claim a neutral view of language. Every interpretive move is bound to a lens — a named, versioned reading position with an author, a published date, and an explicit set of assumptions. Atlas rows and executable receipts cite lenses by id and version, so a later revision cannot silently rewrite an earlier claim. Corrections are appended to a public log, never edited in place.