When Lateral Beats Linear: How LToT Rethinks the Tree of Thought
When Lateral Beats Linear: How LToT Rethinks the Tree of Thought AI researchers are learning that throwing more compute at reasoning isn’t enough. The new Lateral Tree-of-Thoughts (LToT) framework shows that the key isn’t depth—but disciplined breadth. The problem with thinking deeper As models like GPT and Mixtral gain access to massive inference budgets, the default approach—expanding Tree-of-Thought (ToT) searches—starts to break down. With thousands of tokens or nodes to explore, two predictable pathologies emerge: ...