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Jev glossary

Core Concepts

Machine Native Intelligence

TypeSafe's name for AI with software-like properties: structure, reliability, observability, testability, speed, consistency, and low cost.
Category
Core Concepts
Also known as
None
Reading time
1 min
Related terms
4
Directory entries
2
Docs
docs.typesafe.ai
Added
2026-09-24

Definition

The term comes from the TypeSafe AI primer. The bet behind it is that large-scale automation will be dominated by AI-to-AI and AI-to-software interactions, so the machine interface matters more than the chat interface.

Machine Native Intelligence shifts the design target from responses that read well to outputs that behave predictably inside software. Jev's typed answers and calibrated probabilities are the concrete form of that idea.

Tagsarchitecturecore

From the Jev directory

Directory entries that go deeper on this term.

Why TypeSafe trains decision models with RLCD instead of RLHF: calibrated probabilities where 0.2 outcomes happen about 20% of the time, and the case for machine-to-machine automation.
Jev Guides & ArticlesDocs#official#docs#evaluation
Official
TypeSafe's case for machine-native composable AI: intelligence as a dependable primitive that software branches on, rather than an assistant that keeps humans in the loop.
Jev Guides & ArticlesArticle#official#article#architecture
Official

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