Artificial intelligence might already be able to beat us at chess, but how does it fare when it's faced with language-based puzzles?In a bid to find out, a group of researchers from New York University's Tandon School of Engineering challenged a variety of modern natural language processing systems, known as NLPs, to solve The New York Times' daily puzzle, Connections.
The first approach leveraged OpenAI's familiar ChatGPT ; the second used sentence embedding models, like BERT and MiniLM, which lack the full language understanding capabilities of large language models.All in all, the AI struggled to complete the Connections puzzles. GPT-4, the most successful of the models, only solved about 29 percent of the puzzles, struggling more with the 'tricky' associations, just like humans.
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