Get the latest tech news
The ‘strawberrry’ problem: How to overcome AI’s limitations
A simple letter counting experiment exposes a fundamental limitation of LLMs ChatGPT and Claude, proving they can't yet “think” like humans.
They excel at tasks like answering questions, translating languages, summarizing content and even generating creative writing by predicting and constructing coherent responses based on the input they receive. When there is a need for LLMs to do counting or any other task that may require logical reasoning or arithmetic computation, the broader software can be designed such that the prompts include asking the LLM to use a programming language to process the input query. Despite their impressive capabilities in generating human-like text, writing code and answering any question thrown at them, these AI models cannot yet “think” like a human.
Or read this on Venture Beat
