Why no AI can solve this question ? #ai

Introduction

In the fascinating world of artificial intelligence, there are moments when even the most advanced models stumble over seemingly simple questions. A prime example arose when users attempted to ask various AI models, including ChatGPT and Claude, a straightforward query: “How many Rs are in the word strawberry?” Despite its apparent simplicity, the answer was elusive for these models. Let's delve deeper into why this occurred.

When the question was posed, the correct answer is that there are three Rs in the word "strawberry." However, many major AI models struggled with this straightforward task. For instance, in response to the query, ChatGPT and Meta AI’s offerings failed to recognize the correct count, while Claude even pushed back, claiming that it respectfully disagreed with the answer — despite the fact that it was incorrect.

So, what is happening behind the scenes? The way large language models (LLMs) function today involves a process known as tokenization. Before the AI models receive user input, they tokenize the text. This means transforming the input into tokens, which are small pieces or fragments of data that the computer can process more easily. OpenAI's tokenizer, for example, assigns a numerical ID to every single word or part of a word. As a result, when the AI makes predictions based on user inquiries, it does so using these numbers rather than the actual text itself.

In the case of the word "strawberry," the AI model does not see it in its entirety. Instead, it relies on numerical representations that may not adequately capture the word's structure, leading to incorrect assumptions. This results in what computer scientists might call a "random guess." Thus, despite the apparent simplicity of the question, the complexities of language processing within these AI algorithms can lead to surprising miscalculations.

In conclusion, while AI has made tremendous leaps in language understanding, it still encounters stumbling blocks with straightforward tasks due to the intricacies of tokenization and numerical representation. This serves as a reminder that even advanced technology isn't infallible.

Keywords

• Artificial Intelligence
• Tokenization
• Language Models
• ChatGPT
• Claude
• Miscalculations
• Language Processing

FAQ

Q: What is the correct answer to the question "How many Rs are in the word strawberry?"
A: The correct answer is three Rs.

Q: Why do AI models struggle with simple questions?
A: AI models can struggle with simple questions due to the tokenization process, where input is converted into numerical representations that may lack context.

Q: What happens during tokenization?
A: During tokenization, text input is broken down into tokens, which are numerical identifiers that allow the model to process data but do not always preserve the original structure of the words.

Q: Can AI models make random guesses?
A: Yes, due to their reliance on numerical representation, AI models can make guesses that lack accuracy, especially with straightforward questions.

Q: Why could Claude disagree with the answer?
A: Claude may disagree due to its interpretation of the tokenized input, which might lead to incorrect conclusions or assumptions about the information provided.