Comment by TestTime_9000
3 days ago
"The LLM system's core mechanism is probably a "propose-verify" loop that operates on a vocabulary of special tokens representing formal logic expressions. At inference time, it first proposes a new logical step by generating a sequence of these tokens into its context window, which serves as a computational workspace. It then performs a subsequent computational pass to verify if this new expression is a sound deduction from the preceding steps. This iterative cycle, learned from a vast corpus of synthetic proof traces, allows the model to construct a complete, validated formal argument. This process results in a system with abstract reasoning capabilities and functional soundness across domains that depend on reasoning, achieved at the cost of computation required for its extended inference time."
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