πŸ•ΈοΈ Graph-of-Thought Lab β€” Aggregation, Transformation, GoT Reasoning (Besta 2023/2024)

Byte 4.0's Graph-of-Thought (GoT) live β€” thoughts as graph with aggregation and transformation, not just tree. Branch 3 thoughts, evaluate 0-10, aggregate parents into new thought, transform, final aggregation. Same engine as Byte 4.0 super face.

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GoT Graph Visualization
Why GoT > ToT?
ToT (Yao 2023): Tree β€” thoughts branch, evaluated, BFS/DFS, but no combining. Each branch isolated.

GoT (Besta 2023/2024): Graph β€” thoughts can have multiple parents, aggregation nodes combine T1+T2β†’T4, transformation changes thought, final aggregation. Enables:
β€’ Aggregation: T1 (parse) + T2 (calc) β†’ T4 (verified base)
β€’ Transformation: T3 (overpay model) β†’ refined
β€’ Final aggregation: T4+T5 β†’ T6 (hybrid best)
β€’ More expressive than tree, better for complex decisions like mortgage overpay vs invest where you need to combine monthly calc + overpay saving + invest projection.

Byte 4.0: Implements GoT with 6 nodes, 2 aggregations, 1 final, scores 0-1, eye-tracking follows GoT nodes in super face.
Paper: Besta et al. "Graph of Thoughts: Solving Elaborate Problems with Large Language Models" 2023, extended 2024 with aggregation + transformation operations, outperforms ToT on sorting, set intersection, keyword counting, document merging.
Byte 4.0: Same idea for tool workflows β€” thoughts are tool suggestions, aggregation combines tools.