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Update

What changed

The Decoder adds detail on how Metis Reasoning’s proposed knowledge ledger would work. It would record what a system knows, its confidence and which questions remain open.

The proposal also treats reasoning as a sequence of moves: the system could ask a question, run an experiment or challenge an assumption, choosing the step that most reduces uncertainty. Its intended endpoint is an answer or a justified abstention, rather than a confident guess dressed for the occasion.

The report notes that related approaches already exist, including Microsoft’s GraphRAG knowledge graphs and Google’s AlphaGeometry2, which pairs a language model with a symbolic proof-checking engine. Metis’s framework remains theoretical, with no working system, benchmarks or comparisons against current reasoning models.

Sources and evidence

• Former Deepmind researcher thinks AlphaGo's playbook can cure AI hallucinations – The Decoder: The Decoder reports that Metis Reasoning’s proposed ledger would record confidence and unresolved questions, verify entries against evidence, revisit conclusions when assumptions fail, and choose investigative steps to reduce uncertainty. The report says the framework is theoretical and has no working system or benchmarks.

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