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LLMs are not even good wordcels

Jun 08, 2024 - news.bensbites.com
The author discusses their experiment with ChatGPT, a language learning model (LLM), in generating pangrams - sentences that use every letter of the alphabet at least once. The author found that while ChatGPT could define what a pangram is and provide known examples, it struggled to create new ones and correctly identify missing letters in its attempts. The author concludes that LLMs like ChatGPT are not as "intelligent" as they seem, as they can only predict text based on their training data and cannot truly understand or reason about the content.

The author expresses concern about the overestimation of LLMs' capabilities and the potential misuse of these models in important areas like job recruitment. They argue that LLMs do not possess a rich internal model of the world, but merely mimic human-like text based on their training. The author hopes that the hype around "AI" will eventually collapse, leading to a more critical evaluation of its uses and limitations.

Key takeaways:

  • The author experimented with the language model, ChatGPT, to generate pangrams, which are phrases that use every letter of the alphabet at least once.
  • ChatGPT struggled with the task, often failing to include all necessary letters and making errors that a human would not.
  • The author argues that this demonstrates the limitations of current AI models, which are not as 'intelligent' as they may seem and do not possess a rich internal model of the world.
  • Despite these limitations, the author expresses concern about the potential misuse of such models in important real-world applications, such as job recruitment.
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