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Proposes a 'Truth Engine' architecture in which an environment synthesizer creates novel closed-loop micro-worlds, a frontier solver explores them without human demonstrations, and deterministic verifiers filter proven artifacts that get distilled into the base model — forming a self-compounding flywheel intended to push AI beyond the boundary of human knowledge.
This paper identifies two critical gaps—the vocabulary gap and the verifier gap—that prevent current AI systems from achieving truly open-ended intelligence, and proposes a framework for evaluating and advancing innovation beyond fixed representational frames.
Today we launch Recursive, an AI company focused on recursive self-improvement and knowledge discovery to advance science and technology.