TypeSafe AI: Reliable decisions rely on code, not decision models

TypeSafe AI stated in a tweet that reliable decisions cannot depend on decision models: hiding semantic logic in string prompts, embedding vectors, or complex ML is useless—data distributions are always smarter than people. Its argument is to clearly identify what needs to be known and confirm that reading the data directly is sufficient, then use code to compose reliable judgments, and it claims that Jev can make reliable judgments.