[D] Bitter Lesson and Tree of Thoughts - Are techniques like ToT examples of using search or are they ignoring the bitter lesson by encoding humanlike learning?

The bitter lesson argues learning and search are the winning strategies since they scale with computing power, and will generally outperform techniques that rely on encoding human knowledge.

What do you think of ToT and similar techniques given this? Are they good examples of expanding the power of models via search, or are they examples of attempting to force what we believe to be humanlike behavior?

​

For reference, I've seen two main tree-based approaches used in the research. One …

computing computing power encoding examples human humanlike knowledge machinelearning power scale search strategies think thoughts tree will