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Revo is a new programming language that features clean data flow without nesting, errors-as-values, everything as expressions, compile-time execution, and procedural macros.
This paper argues that recent claims about LLMs' ability to introspect are not justified, as behavioral evidence alone cannot distinguish genuine introspection from pattern matching on surface-level cues. The authors re-examine two evaluation paradigms and find that models rely on input-level features rather than genuine access to internal states.