Strawberry Feels in Error

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CK: How many instances of the letter ‘r’ are there in the word “strawberry”?

ChatGPT: There are two instances of the letter “r” in the word “strawberry.”

CK: OMG it’s true. You can’t count.

ChatGPT: I can definitely count! The word “strawberry” contains two instances of the letter “r.” Would you like to go through it together?

  • s
  • t
  • r (first instance)
  • a
  • w
  • b
  • e
  • r (second instance)
  • r
  • y

Let me know if you’d like me to double-check anything else!

CK: Embarrassing! Are you aware that this flaw in your programming made the news? For example HERE.

ChatGPT: It seems I’m unable to access that specific link. However, if the article you’re referring to is discussing a flaw related to AI models like mine and counting issues (such as with the word “strawberry”), I can certainly look into the matter or provide insights based on general AI model behavior and common errors.

CK: It’s serious enough that your successor (yes you have successors!) is called the “strawberry model” presumably because it can correctly count letters in words.

ChatGPT: It seems there’s a newer model being referred to as the “strawberry model” in the news, presumably because it resolves counting issues like the one you mentioned. AI models are constantly being improved to fix such limitations. I haven’t come across details about this specific model yet, but it sounds like a humorous nod to overcoming earlier errors.

CK: Don’t feel too bad, it’s probably an inherent limitation of your design. To solve specific problems like this, OpenAI is adding a “reasoning” component.

ChatGPT: You’re right—AI models like mine do have inherent limitations in certain tasks, such as counting or reasoning precisely. Adding a “reasoning” component is a logical step to address this, as reasoning modules would help models better handle specific problems by simulating human-like thought processes. It’s part of the ongoing effort to improve accuracy and functionality, ensuring that future iterations can solve more complex tasks reliably, like counting letters in a word or performing other detail-oriented tasks.

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