Startup plans to fix AI hallucinations with ledger
The Decoder: Former Deepmind researcher thinks AlphaGo's playbook can cure AI hallucinations
Former Deepmind researcher Thore Graepel wants his startup Metis Reasoning to bring AlphaGo's search principle to general reasoning. Instead of locking knowledge inside model weights, an explicit knowledge ledger would make every conclusion checkable against evidence. So far, though, there's no working system and no benchmarks. The article Former Deepmind researcher thinks AlphaGo's playbook can cure AI hallucinations appeared first on The Decoder.
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A former researcher from a major AI lab founded a company proposing a new approach to make AI systems more reliable by separating knowledge from the model itself and checking every conclusion against evidence. The method uses an external ledger and an independent verification module, inspired by how a famous game-playing AI system worked by combining a prediction network with systematic search. The approach matters because current language models fabricate answers, hide their reasoning, and lock knowledge inside their weights in ways that cannot be easily corrected or removed without retraining. The proposed system exists only as a theoretical framework with no working implementation or benchmarks yet tested.
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