I was struggling to crack the New York Times Spelling Bee, so I turned to AI for help. After inputting my letters, the AI generated some words, but they were not in the dictionary. I tried different AI models like Microsoft’s Copilot and Google’s Gemini, but none of them could solve the puzzle. The problem lies in how AI models are trained; they are not optimized for word puzzles like the Spelling Bee. AI operates statistically, not logically like traditional computer programming. Despite marketing claims, AI still has limitations and cannot perform tasks like reasoning and planning as effectively as humans can. Experts like Yann LeCun have emphasized that current AI models lack true understanding of the world and human-like intelligence. While AI has made advancements in various areas, it still struggles with certain tasks, such as solving word puzzles. Understanding these limitations is crucial when using AI technology.
Vocabulary List:
- Struggling (verb): Having difficulty to do or achieve something.
- Crack (verb): To solve or decipher something.
- Optimized (verb): Made as effective or functional as possible.
- Reasoning (noun): Thinking about something logically.
- Advancements (noun): Developments or improvements in a particular area.
- Limitations (noun): Restrictions or weaknesses that make something less effective.
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